WO2025096776A1 - Smart cart with collaborative cloud-based mapping and holistic shopping experience - Google Patents

Abstract

A smart cart includes a frame, a sensor for scanning barcodes and NFC tags mounted on the frame, a control system, and a navigation system. The sensor scans product identifiers. The control system processes and updates a digital shopping list. The navigation system guides the cart through store aisles based on the digital shopping list.

Description

SMART CART WITH COLLABORATIVE CLOUD-BASED MAPPING AND HOLISTIC SHOPPING EXPERIENCE

TECHNICAL FIELD

[0001] The disclosure pertains to a sophisticated smart cart system designed for use in retail establishments. This invention offers a multifaceted solution to enhance the shopping experience, improve cart maneuverability, ensure cart security, and enable personalized customer interactions. This field encompasses a range of technologies and solutions aimed at enhancing the shopping experience for consumers while providing efficiency and data analytics for retailers.

BACKGROUND ART

[0002] Retail stores face challenges in optimizing shopping experiences, cart maneuverability, and loss prevention. The existing shopping cart systems lack comprehensive features to address these challenges. The disclosure aims to provide a comprehensive solution that enhances the shopping experience, improves cart maneuverability, ensures cart security, and facilitates customer engagement.

DISCLOSURE OF INVENTION

[0003] In various implementations, a smart cart for use in a retail store is provided. The smart cart includes a frame, a sensor for scanning barcodes and NFC tags mounted on the frame, a control system, and a navigation system. The sensor scans product identifiers. The control system processes and updates a digital shopping list. The navigation system guides the cart through store aisles based on the digital shopping list.

BRIEF DESCRIPTION OF THE FIGURES

[0004] FIG. l is a block diagram illustrating a smart cart in accordance with the disclosure.

[0005] FIG. 2 is a perspective view of the smart cart shown in FIG. 1.

[0006] FIG. 3 is a process in accordance with the disclosure.

[0007] FIG. 4 is a schematic diagram illustrating another embodiment of a smart cart in accordance with the disclosure.

[0008] FIG. 5 is an exemplary node within a cloud computing environment in accordance with the subject disclosure.

[0009] FIG. 6 is an exemplary computer system in accordance with the subject disclosure. [0010] FIG. 7 is a block diagram of an exemplary mobile device in accordance with the subject disclosure.

MODES FOR CARRYING OUT THE INVENTION

[0011] The present disclosure pertains to a smart cart system designed for enhancing the shopping experience within retail stores while facilitating seamless inventory management. The smart cart encompasses an array of interconnected components that collaboratively work together to deliver an innovative and efficient shopping journey for customers and offer realtime data insights for retailers.

[0012] References to “one embodiment,” “an embodiment,” “an example embodiment,” “one implementation,” “an implementation,” “one example,” “an example” and the like, indicate that the described embodiment, implementation or example can include a particular feature, structure or characteristic, but every embodiment, implementation or example can not necessarily include the particular feature, structure or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment, implementation or example. Further, when a particular feature, structure or characteristic is described in connection with an embodiment, implementation or example, it is to be appreciated that such feature, structure or characteristic can be implemented in connection with other embodiments, implementations or examples whether or not explicitly described.

[0013] The present disclosure is directed to a smart cart system designed to revolutionize the retail shopping experience by seamlessly integrating a multitude of components and enabling real-time collaboration. This innovative system, as defined by the 21 claims herein, provides customers with an exceptional shopping journey and furnishes retailers with invaluable data insights.

[0014] The smart cart features a robust frame, which serves as the foundation for a multifaceted array of interconnected components. These components work harmoniously to offer an efficient and personalized shopping experience. A sensor scans barcodes and NFC tags, recording product identifiers, which are subsequently processed by the control system. The result is a continuously updated digital shopping list, empowering customers to make informed selections while aiding retailers in managing inventory.

[0015] Front and back cameras capture images and video, enhancing security and personalization. The front camera employs facial recognition technology to identify customers and provide tailored recommendations. Moreover, the cameras record customer actions, allowing retailers to analyze shopping patterns and optimize store layouts. [0016] An attachable weight scale ensures precise item tracking by recording weight changes as items are placed in the cart. This data is seamlessly integrated into the digital shopping list, providing real-time pricing updates. The attachable motor system, equipped with independently driven wheels, offers agile and responsive cart navigation, guided by the navigation system, which calculates optimal paths based on store mapping data.

[0017] Safety is paramount, thanks to cliff sensors that detect obstacles and terrain variations, preventing potential collisions by adjusting the cart's path. User authentication establishes secure, personalized connections between customers and their carts. This allows real-time interaction, item tracking, and tailored recommendations.

[0018] The cloud-based computer system represents the central hub for data processing and storage. It facilitates real-time communication between the smart carts and offers cloudbased services for customers and retailers alike. The communication module maintains continuous data exchange with the central store management system, ensuring real-time updates on inventory levels, customer preferences, and security alerts.

[0019] The touchscreen interface empowers customers with graphical displays of their digital shopping list, store maps, and personalized recommendations. A rechargeable battery ensures the cart's uninterrupted operation, meeting safety standards while preventing overcharging and overheating. Adjustable components accommodate various item sizes and store layouts, enhancing the cart's adaptability.

[0020] Innovatively, a network of smart carts collaborates to share camera data and create a real-time, holistic map of the shopping center. This facilitates optimal customer navigation and store layout optimization.

[0021] This invention, with its cooperative components, seamless communication, and cloud-based collaboration, redefines the retail shopping experience, offering a win-win solution for customers and retailers.

[0022] The smart cart system includes a frame that houses a sensor for scanning barcodes and NFC tags, cameras for security and personalization, an attachable weight scale for accurate item tracking, and an attachable motor system for agile cart navigation. Safety is ensured through cliff sensors that detect obstacles and terrain variations. User authentication establishes a secure and personalized connection with the cart, enabling real-time interaction and tailored recommendations.

[0023] Central to the system is the control system, which processes data from the sensors, cameras, and other components, calculates optimal routes, guides the motor system, and tracks item selections. The navigation system leverages data from sensors and a store map database to ensure safe and efficient cart movement. The communication module links the smart cart to a cloud-based computer system, enabling real-time data exchange with central store management.

[0024] A touchscreen interface empowers customers with a graphical display of their digital shopping list, store maps, and personalized recommendations. Facial recognition technology enriches the shopping experience by recognizing customers and tailoring offers based on their profiles. A rechargeable battery ensures uninterrupted cart operation.

[0025] Furthermore, the network of smart carts in a shopping center communicates with each other to share data from their cameras, collectively creating a real-time, holistic map of the shopping center. This collaborative mapping assists in optimal customer navigation and store layout optimization.

[0026] The invention centers on a smart cart meticulously designed for deployment in retail environments. It encompasses a robust frame, a versatile sensor capable of scanning barcodes and NFC tags, front and back cameras for ensuring security and offering personalized shopping recommendations, an attachable weight scale for precise item tracking, and an attachable motor system with independently driven wheels for agile navigation. The smart cart seamlessly interfaces with a user authentication system, facilitating real-time customer interaction, and a central control system that unifies the operation of all components. Furthermore, the invention integrates with an advanced cloud-based computing system, which supports data processing, storage, and analytics, and ensures the optimal functioning of the smart cart. To bolster security and navigation, cliff sensors using infrared technology are incorporated into the system. A communication module maintains a continuous connection with the central store management system. The smart cart's intuitive touchscreen interface empowers customers with graphical access to their digital shopping lists, store maps, and tailored recommendations. Facial recognition technology further enhances the shopping experience by personalizing recommendations based on recognized customer profiles. This groundbreaking invention redefines the retail experience by offering seamless shopping journeys, advanced security monitoring, and actionable data insights, all within the context of a sophisticated cloud-based computing ecosystem.

[0027] The smart cart provides an exceptional shopping experience for customers while providing retailers with valuable real-time data and enhanced inventory management. The cooperative interplay of its components and communication capabilities between smart carts further solidifies its innovative nature.

[0028] Embodiments of this disclosure can include a smart cart for use in retail stores, including a frame. Embodiments can also include a sensor for scanning barcodes or NFC tags. Embodiments can also include a front and back camera for security and customer action monitoring. Embodiments can also include an attachable weight scale for item accuracy.

[0029] Embodiments can also include an attachable motor system with two independently driven tractor-style wheels.. In some embodiments, the sensor for scanning barcodes or NFC tags can be integrated into the structure of a cart. Embodiments can also include a smart cart having cliff sensors using infrared light to detect obstacles and change the cart's path accordingly.

[0030] In some embodiments, the attachable motor system enables the cart to turn by having the wheels move in opposite directions. Embodiments can also include a smart cart having a user authentication system.

[0031] In some embodiments, a customer scans their unique customer code to connect with the cart via Bluetooth/Wi-Fi. Embodiments can also include a smart cart in which a customer's smartphone connects to the cart through a dedicated mobile application.

[0032] In some embodiments, the attachable weight scale measures the weight of items placed in the cart. Embodiments can also include a control system that allows the cart to follow the customer after authentication.

[0033] In some embodiments, the attachable motor system includes separate electric motors for each wheel. Embodiments can also include an attachable motor system that can be designed to be easily removable for manual operation. Embodiments can also include a smart cart that includes a rechargeable battery to power the motor system.

[0034] Embodiments can also include a smart cart having a sensor for scanning barcodes or NFC tags can be adjustable in height to accommodate various item placements. Embodiments can also include a smart cart that includes cameras that can be equipped with facial recognition technology for customer identification.

[0035] Embodiments can also include a smart cart with a touchscreen interface for customer interaction and item information display. Embodiments can also include a smart cart having an attachable motor system that can be controlled by a navigation system for autonomous cart movement. [0036] Embodiments can also include smart cart having a communication module for sending data to a central store management system. Embodiments can also include a smart cart in which the attachable motor system includes sensors to detect obstacles and avoid collisions.

[0037] Embodiments can also include a smart cart in which an attachable weight scale is calibrated for high accuracy. Embodiments can also include a smart cart having cliff sensors that can be adjustable to vary the detection range. Embodiments can also include a smart cart having a locking mechanism to secure items within the cart.

[0038] Referring to the drawings and in particular to FIG. 1, a smart cart is shown. The smart cart represents a groundbreaking innovation in the retail industry. It is a comprehensive solution designed to enhance the shopping experience for customers while simultaneously providing retailers with invaluable data insights. At the core of this invention are five fundamental elements: a frame, a sensor for scanning barcodes and NFC tags, front and back cameras, an attachable weight scale, and an attachable motor system. These components are meticulously integrated, working in concert to offer an exceptional shopping journey within a retail store.

[0039] The smart cart includes a frame that forms the foundation of the system, housing and supporting all other components. It is intelligently designed to balance structural integrity with lightweight materials, ensuring durability while facilitating ease of use. The frame also incorporates ergonomic features, guaranteeing a comfortable pushing and maneuvering experience for customers.

[0040] The smart cart includes a sensor is the gateway to accurate and efficient item tracking. Positioned strategically on the cart, it functions as a versatile reader, capable of scanning barcodes and NFC tags. When a customer places an item in the cart, the sensor scans its unique identifier. This information is instantly relayed to the cart's control system for real-time processing. This interplay allows customers to effortlessly maintain an accurate digital shopping list while aiding in inventory management for retailers.

[0041] The front and back cameras are the vigilant eyes of the smart cart, serving multiple purposes. The high-resolution cameras capture images and videos of the surrounding environment, providing security monitoring for both customers and merchandise. The front camera, enhanced with facial recognition technology, identifies customers and their preferences. It establishes personalized shopping experiences by recommending products based on past buying behavior. Moreover, these cameras record customer actions, helping retailers analyze shopping patterns and optimize store layouts.

[0042] The attachable weight scale is a precision instrument working seamlessly with the cart's design. Its accuracy is paramount in calculating the weight of items placed in the cart. As items are added, the weight scale records changes, ensuring that customers can confidently track their selections and calculate costs. The data from the weight scale integrates with the cart's control system, allowing for real-time pricing updates and enhanced shopping transparency.

[0043] The attachable motor system, comprising two independently driven tractor-style wheels, is the powerhouse of cart navigation. These wheels turn in opposite directions, offering the cart a remarkable ability to maneuver gracefully and precisely through store aisles. The motor system interfaces directly with the cart's control system. When a customer authenticates and starts using the cart, the control system calculates optimal paths based on store mapping data generated by sensors, including the cliff sensors. This synergy allows the cart to autonomously follow the customer through the store, taking into account obstacles and changes in terrain detected by the sensors.

[0044] The cliff sensors are the guardians of customer safety, using infrared light to detect obstacles and terrain variations. Placed around the cart, they continually scan the surroundings, measuring distances and detecting potential obstacles. If an obstacle is identified or a change in terrain is detected, the cliff sensors send instant signals to the cart's control system. The control system then takes action to adjust the cart's path or stop to prevent collisions. This collaborative interaction between sensors, control, and motor system ensures the safe and seamless operation of the smart cart.

[0045] The user authentication system is pivotal in establishing a secure and personalized connection between the customer and the cart. When a customer scans their unique customer code, it initiates the authentication process. Simultaneously, the smartphone app establishes a Bluetooth or Wi-Fi connection with the cart. This integration enhances the shopping experience by enabling real-time interaction, item tracking, and tailored recommendations.

[0046] At the heart of the smart cart, the control system orchestrates the cooperative efforts of all components. It receives data from the sensor, cameras, weight scale, and sensors, including the cliff sensors. Based on this data and the customer's preferences, it calculates optimal routes, guides the motor system, and controls the cart's movement. The control system also processes and stores data for future reference, including inventory management, customer actions, and store layout optimization. This data-sharing capability allows for the seamless operation of the smart cart and the enhancement of the shopping experience.

[0047] The navigation system, an integral part of the control system, ensures autonomous cart movement. It leverages data from sensors, including the cliff sensors, to generate a store map and calculate optimal paths for the cart to follow. By collaborating with the motor system, the navigation system steers the cart through aisles, adapts to changes in the store layout, and skillfully maneuvers around obstacles, all while maintaining a safe and efficient path.

[0048] The communication module ensures that the smart cart is connected to the broader store infrastructure. It maintains a continuous data exchange with the central store management system. This connectivity facilitates real-time updates on inventory, customer preferences, and security alerts. The communication module serves as the gateway for store management to access critical data, enabling more efficient inventory management, enhanced customer service, and store security.

[0049] The touchscreen interface offers a user-friendly way for customers to interact with the smart cart. The interface, seamlessly integrated with the control system, provides a graphical interface for accessing item information, store maps, and personalized recommendations. It allows customers to review their shopping list, select products, and receive promotional offers — all while maintaining a direct connection to the cart's central control.

[0050] The facial recognition technology embedded within the cart's front camera enriches the shopping experience by recognizing and identifying customers. It analyzes facial features, matches them to known customer profiles, and provides a personalized shopping experience. Through collaboration with the control system, the cart tailors recommendations, offers, and item information based on the identified customer, fostering brand loyalty and satisfaction.

[0051] The rechargeable battery is a core power source for the motor system and other electronic components. It is carefully chosen to offer sufficient capacity for extended operation during a shopping trip. Designed for safety and efficiency, the battery system ensures that it does not overcharge, overheat, or pose any safety risks during use.

[0052] Certain components, such as the sensor and cliff sensors, are adjustable to enhance the cart's adaptability. The height-adjustable sensor accommodates items of various sizes and shapes, ensuring accurate scanning regardless of product dimensions. The customizable cliff sensor range allows the cart to adapt to different store layouts and configurations, guaranteeing that it can navigate effectively in diverse retail environments.

[0053] The locking mechanism reinforces the security of items placed in the cart. Customers can engage this mechanism to secure their selected items during the shopping journey, preventing tampering or theft. When customers are ready to make their purchases, the mechanism can be easily disengaged for a streamlined checkout process.

[0054] The smart cart's components work in harmony, driven by the control system and facilitated by the navigation system. The sensors and cameras provide real-time data that guides the motor system through optimal paths while avoiding obstacles detected by the cliff sensors. Customers benefit from a personalized shopping experience.

[0055] Additional components of the smart cart include an item tracking system is an integral part of the smart cart, working closely with the sensor and control system. As items are placed in the cart, they are scanned by the sensor for barcodes or NFC tags. The item information is sent to the control system for real-time tracking and updating of the digital shopping list. This information is then made available to the customer through the touchscreen interface, enhancing the shopping experience by providing instant item details. [0056] A store map database is a critical data repository accessible by the navigation system. It provides comprehensive information about the store layout, including aisle locations, product categories, and the locations of obstacles and shelf displays. The navigation system uses this data to calculate the optimal path for the cart, ensuring it can navigate efficiently while avoiding obstacles. This database is continually updated, allowing the cart to adapt to changes in store layout.

[0057] A central store management system serves as the backbone for data exchange in the retail environment. It communicates directly with the smart cart's communication module. The cart's communication module relays data related to inventory levels, customer preferences, and security alerts to the central system. In return, the central system provides real-time updates on promotions, inventory restocking, and customer profiles, which are then integrated into the cart's control system. This exchange of data ensures a seamless, well- informed shopping experience for customers and assists retailers in optimizing their operations.

[0058] A checkout and payment gateway component enhances the customer experience by providing a streamlined path to payment. As customers finalize their shopping and proceed to the checkout area, the cart's control system communicates with the checkout and payment gateway. This interaction ensures that the selected items are seamlessly transferred to the checkout counter, minimizing checkout time and facilitating secure payment processing. In cases where customers opt for a self-checkout process, the cart's control system communicates directly with the payment gateway to facilitate a quick and hassle-free transaction.

[0059] An inventory management system plays a vital role in the retail environment, and it collaborates closely with the smart cart's components. The sensor, item tracking system, and central store management system share data related to item selection and stock levels. The more detailed process diagram with over 20 steps, along with explanations of how each step is related to the others in the operation of the smart cart.

[0060] Referring now to the drawings and, in particular, to FIGS. 1-2, there is shown a cloud-based computer system 100 that represents the central hub for data processing and storage in the smart cart ecosystem. It is responsible for handling extensive data processing tasks, including real-time communication with other smart carts, collecting and analyzing data from multiple carts, and facilitating cloud-based services for customer interactions and store management.

[0061] The system 100 connects to a smart cart 105, which includes cliff sensors 110. The cliff sensors 110 are equipped around the smart cart 105 to serve as safety mechanisms. The sensors 110 use infrared light to detect obstacles and changes in terrain. When a change in the environment is detected, such as a sudden drop or an obstacle in the path of the cart 105, the cliff sensors 110 send signals to a control system 115. The control system 115 processes this information to adjust the movement of the cart 105, preventing potential collisions and ensuring safe navigation.

[0062] The control system 115 functions as the core for the operation of the smart cart 105. The control system 115 processes and manages data from sensors, cameras, and/or a navigation sub-system. The control system 115 calculates optimal paths for the cart 105 to follow through the store based on a digital shopping list and store layout data. The control system 115 also controls a motor system 120, adjusting the cart's speed and direction. It ensures a seamless shopping experience for customers, providing them with real-time item tracking and personalized recommendations.

[0063] The motor system 120 is an attachable motor system. The system 120 features two independently driven tractor-style wheels, each powered by separate electric motors. The motor system 120 is a cornerstone of the navigation capabilities for the smart cart 105. The system 120 connects directly with the control system 115 to respond to commands for speed, direction, and obstacle avoidance. The motor system 120 allows the cart 105 to maneuver gracefully through store aisles, making it exceptionally agile and responsive to customer navigation.

[0064] The motor system 120 includes environmental sensors 122 and functional sensors 124. The environmental sensors 122 are electronic sensors that contribute to the functionality of the cart. The environmental sensors 122 detect various properties, such as temperature, humidity, or other environmental factors, which may be used to optimize the shopping experience or provide valuable data to the control system 115 and central store management system that could reside within the cloud-based system 100.

[0065] The functional sensors 124 are fundamental for the operation of the smart cart 105. The functional sensors 124 can include barcode and NFC sensors that can scan product identifiers and sensors for detecting obstacles and changes in terrain. The functional sensors 124 sensors play critical roles in enhancing the navigation, safety, and inventory tracking capabilities of the cart 105.

[0066] The cart 105 can include a user authentication component 125. The user authentication component 125 can establish secure and personalized interactions between customers and the smart cart 105. When a customer wishes to use the cart 105, they can initiate an authentication process by scanning their unique customer code. Simultaneously, a smartphone app on a customer mobile device can establish a connection with the cart 105 via Bluetooth or Wi-Fi. The connection can allow for real-time interaction, item tracking, and tailored recommendations, enhancing the overall shopping experience.

[0067] The cart 105 can include a rechargeable battery 130. The rechargeable battery 130 serves as the primary power source for the cart 105. Designed with safety and efficiency in mind, the battery 130 provides power to the motor system 120 and other electronic components. The battery 130 can power the cart 105 during the entire shopping trip to ensure safe operation and reliability without posing safety risks, such as overcharging or overheating.

[0068] The cart 105 can include a communication module 135 that can facilitate real-time communication between the cart 105 and the cloud-based computer system 100. The communication module 135 serves as a two-way gateway, enabling data exchange between the cart 105 and the central store management system residing on the system 100. Information related to inventory levels, customer preferences, and security alerts is relayed through the communication module 135 to the cloud-based computer system 100.

Conversely, the central system provides real-time updates and data that are integrated into the control system 115.

[0069] As shown in FIG. 1, the cart 105 can include a touchscreen interface 140 that provides a user-friendly way for customers to interact with the smart cart 105. Integrated with the control system 115, the touchscreen interface 140 offers a graphical interface for customers to access digital shopping lists, store maps, and personalized recommendations. Customers can review their selected items, make choices, and receive promotional offers. The touchscreen interface maintains a direct connection with the control system 115.

[0070] The cart 105 can include a locking mechanism 145 designed to enhance the security of items placed within the smart cart 105. Customers can engage this mechanism to secure their selected items during the shopping journey, preventing tampering or theft. When customers are ready to make their purchases, they can easily disengage the locking mechanism, allowing for a streamlined checkout process.

[0071] The operation of the cart 105 is shown in FIG. 2. The operation is initiated when a customer 10 activates an app on a smartphone and/or mobile device 20. The app employs Bluetooth or Wi-Fi technology to establish a secure and real-time connection with the cart 105.

[0072] The cart 105 utilizes the control system 115 and the sensors 110, 122 and 124 when a connection is established to identify an lOd follow the customer through the store. This sophisticated connectivity enables a personalized and interactive shopping experience. The user authentication process ensures a secure and tailored connection between the customer 10 and the cart 105, allowing for real-time item tracking, recommendations, and seamless communication throughout the store.

[0073] Referring to FIG. 3 with continuing reference to the foregoing figures, a process, generally designated with the numeral 200, is shown. Through the process, the components of a smart cart work in harmony and adapt in real-time to provide customers with seamless, secure, and efficient shopping experiences, while offering retailers invaluable insights into inventory management and store operations.

[0074] At 201, a customer is authenticated when the customer approaches the smart cart in a retail store. The customer scans their unique customer code, initiating the authentication process. Simultaneously, the smartphone app establishes a Bluetooth or Wi-Fi connection with the smart cart.

[0075] At 202, the cart control system initializes the shopping session upon successful authentication. In this step, the control system accesses the customer's historical purchase data from the central store management system.

[0076] At 203, item selection occurs. In this step, the customer selects and places items into the cart, so that the cart sensor can scans the barcodes and NFC tags on the items.

[0077] At 204, real-time scanning is performed. In this step, the sensor relays the scanned item data to the control system in real-time. The control system dynamically updates the digital shopping list on the touchscreen interface.

[0078] At 205, weight tracking occurs. In this step, an attachable weight scale continuously records changes in weight as items are added or removed from the cart. The weight data integrates with the digital shopping list, enabling real-time pricing updates.

[0079] At 206, customer queries are entered. In this step, the customer can use the touchscreen interface to query product information or request assistance. The control system provides responses to customer queries by accessing the central store management system's database.

[0080] At 207, the cart communicates with the central system. In this step, the communication module ensures a continuous two-way connection between the smart cart and the central store management system. The cart relays data related to inventory levels, customer preferences, and security alerts to the central system, facilitating real-time updates. [0081] At 208, inventory synchronization occurs. In this step, the central system updates inventory data based on real-time sales and cart data. The inventory management system on the cart periodically synchronizes its data with the central system to provide customers with accurate product availability information.

[0082] At 209, the control system and front camera monitor the customer's position and movements. This information is utilized for optimizing personalized recommendations and in-store navigation.

[0083] At 210, the navigation functions are initialized. In this step, the navigation system accesses the store map database, which contains store layout information, aisle configurations, and potential obstacles. The navigation system initializes the cart's path planning based on the digital shopping list and real-time location of the customer. [0084] At 211, the motor system is activated. In this step, the navigation system communicates with the motor system, equipped with independently driven wheels. The motor system activates and begins to maneuver the cart along the calculated path, adapting to the customer's movement.

[0085] At 212, obstacles are detected. In this step, the cliff sensors that are positioned around the cart scan the surroundings for obstacles and variations in terrain. If obstacles or changes in the terrain are detected, the cliff sensors send signals to the control system.

[0086] At 213, the cart path can be adjusted. Upon receiving signals from the cliff sensors, the control system dynamically adjusts the cart's path to avoid collisions or disruptions. The motor system adapts its movement based on these path adjustments.

[0087] At 214, customer engagement occurs. The touchscreen interface provides graphical access to item information, store maps, and personalized recommendations. The customer engages with the interface, making informed selections and receiving real-time updates on recommendations.

[0088] At 215, data analysis is performed. In this step, the central store management system analyzes data from multiple smart carts, customer interactions, and purchase patterns. Insights are used to optimize inventory, store layouts, and provide tailored customer recommendations.

[0089] At 216, checkout preparation occurs. As customers conclude their shopping, the cart's control system communicates with the checkout and payment gateway. Selected items are prepared for efficient transfer to the checkout counter for traditional or self-checkout processes.

[0090] At 217, secure item handling is performed. The control system engages the locking mechanism, securing the selected items in the cart for transport to the checkout counter. This ensures that items are protected and accurately associated with the customer during the checkout process.

[0091] At 218, the customer can checkout. In this step, the control system coordinates the checkout process with the checkout and payment gateway. This step enables swift and secure payment processing, reducing customer checkout time.

[0092] At 219, data analysis occurs in the same manner as occurred in Step 215.

[0093] At 220, post-purchase interactions occur. After purchase, the cart's control system records the transaction details and updates the central system with the transaction data. This interaction allows for real-time inventory updates and analysis of customer preferences. [0094] At 221, continuous improvement occurs. Based on data insights, the central system and individual smart carts continuously refine customer experiences and store operations. Customer preferences, inventory management, and security protocols are enhanced to provide an ever-improving shopping journey.

[0095] Referring to FIG. 4 with continuing reference to the foregoing figures, another embodiment of a smart cart, generally designated by the numeral 300, is shown. The smart cart 300 can connect to a cloud server 310 and a mobile device 312 over a network 314. The mobile device 312 can activate the smart cart 300.

[0096] The smart cart 300 can include a computing device 316, a robotic arm 318, a scanner 320, a scale 322, lights 324, and sensors 326. The computing device 316 can include a network connector 328 and a display device 330. In this exemplary embodiment, the scale 322 can be an embedded weight scale.

[0097] The smart shopping cart 300 can provide for seamless entry into a store and app integration with an app that resides upon the mobile device 312. Upon entering the store, a customer can scan the app on the mobile device 312 to connect to the shopping cart 300 instantly via the network 314.

[0098] The cart 300 can synchronize with the app to allowing the cart 300 to access a customer shopping list, preferences, and any prior settings for personalized assistance. Once connected, the cart 300 can follow the customer, autonomously moving alongside the customer as it navigates the aisles.

[0099] The cart 300 can be programmed to follow the customer autonomously and to detect items. Through this functionality, the cart 300 will stay with the customer and follow the customer movements smoothly and safely throughout the store. As the customer places items in the cart 300, the scale 322 and the scanner 320 can automatically detect, identify, and log each item in real-time.

[0100] The display device 330 can show item details (such as price and nutritional information) while updating the total cost, ensuring a transparent and efficient shopping experience.

[0101] As indicated in FIG. 4, the robotic arm 318 can be used for item retrieval. The robotic arm 318 can be a slim robotic arm designed to assist in picking up items from shelves for added convenience. Using the mobile device 312 to communicate with the computing device 316, the shopper can program the cart 300 to retrieve specific items autonomously with the robotic arm 318. In some embodiments, the arm 318 can be used by customers to save time by gathering items from different aisles simultaneously.

[0102] The robotic arm 318 can help customers who need help reaching or lifting items. The robotic arm 318 can pick items from shelves, precisely, place the items in the cart 300, and logs the items in the inventory.

[0103] The cart 300 can implement smart checkout and security features, so that when the shopping is complete, the customer can pay for their items directly from the app or at a designated store kiosk. The cart 300 can utilize the light system 324 as a security checkpoint. In such embodiments, a red light indicates unpaid items, while a green light confirms a completed transaction. The sensors 326 can verify the item count and accuracy of products to prevent discrepancies at checkout, ensuring seamless security.

[0104] The cart 300 can include post-purchase functions to assist the customer in the parking lot. In such embodiments, the cart 300 can follow the customer to the parking area, automatically adapting to outdoor navigation. The cart 300 can move smoothly to a vehicle to allow for easy and convenient unloading. Once the customer transfers the items from the cart 300 to the vehicle, the sensors 326 can determine whether the basket has been emptied, so that items are not left behind.

[0105] The cart 300 can be configured for autonomous return and recharging. After unloading, the cart 300 can autonomously return to a designated charging station. At the station, the cart can dock to recharge and to prepare for the next customer, which ensures a fully charged cart 300 ready for every shopping experience.

[0106] The cart 300 can be programmed to perform automated online order fulfillment. Through this functionality, the cart 300 autonomously starts navigating the store aisles to collect the required items when an online order is placed. The cart 300 can utilize the robotic arm 318 to pick up items and place them into the basket as it moves along the optimal path to minimize time. Once all items are collected by the cart 300, the cart 300 can travel to a designated pickup area in the parking lot.

[0107] The cart 300 can meet the customer at a designated drive-thru area and move, autonomously, to the customer vehicle. Then, the order can be transferred to the vehicle with minimal waiting time.

[0108] The store staff can monitor the progress and/or the status of the cart through the app. Using the integrated app, the staff can oversee multiple orders simultaneously and receive alerts if any assistance is needed. [0109] This feature streamlines online order fulfillment by eliminating the need for manual item gathering, reducing labor costs, and speeding up the order pickup process. Customers benefit from a seamless drive-thru experience, with their order ready and waiting, while staff can focus on other critical in-store tasks.

[0110] The app can implement a nutritional recommendation system to track dietary preferences and restrictions. As items are scanned, the cart analyzes nutritional content and suggests healthier alternatives based on the buyer’s diet. As a result, health-conscious buyers can make healthy choices in a convenient manner.

[OHl] The recommendations can include health-based alerts that can be generated through an analysis of ingredients. These alerts can warn shoppers of items that conflict with health preferences or restrictions. The alerts can enhance confidence and health safety in purchasing decisions.

[0112] The cart 300 can utilize the computing device 316 and the display device 330 and/or mobile device 312 to implement an Augmented Reality (AR) item locator. The AR item locator can project a visual guide on the display device 316 and/or on a screen on the mobile device 312. When a customer searches for a product, an AR visual indicator can direct the customer to the correct aisle or shelf. The AR item locator can reduce the time spent searching for items and enhance convenience.

[0113] The cart 300 can be programmed for dynamic price monitoring and deal alerts. Through this function, the cart 300 can be utilized to monitor item prices in real-time and to alert the customer to sales or special discounts. The cart 300 can be programmed to suggest price-matching options from other stores. This functionality ensures that shoppers get the best deal, boosting customer satisfaction and loyalty.

[0114] The cart 300 can receive shelf restocking alerts from the cloud server 310. The cloud server 310 also utilize output from the cart 300 to detect out-of-stock items and communicate with inventory systems to trigger restocking to prevent wasted time searching for unavailable items and to ensure that popular items stay stocked. In some instances, the cloud server 310 can offer similar alternatives or estimated availability.

[0115] The cart 300 can implement an eco-friendly shopping assistant that tracks the environmental impact of products (e.g., packaging and sourcing) and that suggests eco- friendly alternatives, highlighting sustainability benefits. This functionality can encourage eco-conscious shopping to align with growing sustainability demands. [0116] The cart 300 can be programmed for personalized shopping path optimization. The optimization function can create an efficient shopping route using past purchasing habits, helping the shopper collect items in the shortest time. Path optimization can save time to make shopping quicker and more efficient.

[0117] The optimization function can be adaptive, based upon store traffic. The cart 300 can use traffic data to suggest optimized routes and to avoid crowded areas, which can save time and improve flow to reduce shopping frustration.

[0118] The cart 300 can communicate with the cloud server 310 to provide virtual queueing for checkout. The virtual queueing function can place a shopper in a virtual queue for checkout, automatically, based on store traffic. The cloud server 310 can communicate with the cart to notify the shopper when it is their turn to eliminate long waits, which improves the end-of-shopping experience.

[0119] The cart 300 can utilize the computing device 316 and the display device 330 to implement a holographic shopping assistant. Through this function, a small holographic avatar projects from the cart 300 to answer questions about layout, product suggestions, recipes, and meal planning tips. The holographic shopping assistant can be controlled via voice or touch to add a personal touch and make the experience interactive and informative. [0120] The cart 300 can provide automatic replenishment suggestions to alert shoppers to frequently purchased items when they are needed. The function can sync with home inventory systems to suggest items running low to prevent forgotten essentials, to save time, and to eliminate the need for return trips.

[0121] The cart 300 can provide for interactive social shopping by connecting the cart to social platforms via the network 314. The social platforms can be used by shoppers to share cart contents with family or friends in real-time. This function can create a collaborative shopping experience and can prevent missed items.

[0122] The cart 300 can analyze mood using voice tone, movement, and expressions to provide mood-based shopping suggestions. For example, the cart 300 could suggest quick meal options if a shopper seems rushed or suggest new items if the shopper has time to explore such suggestions. This function tailors the experience based on mood, improving satisfaction.

[0123] The cart 300 can provide waste reduction notifications by tracking unused or frequently wasted products through integration with home systems. The cart 300 can notify the shopper of tendencies to discard item to promote mindful shopping, to reduce waste, and to save money.

[0124] The cart 300 can provide live, in-store promotions and competitions. These features can offer challenges or time-limited promotions as customers shop. Shoppers win rewards like discounts by participating. This function can make shopping fun, boost engagement, and promote products.

[0125] The cart 300 can vibrate gently when passing frequently bought items or as a reminder near the end of the shopping list to provide customizable vibration alerts for shopping guidance. This function provides non-verbal guidance for a more intuitive shopping experience.

[0126] The cart 300 can provide personalized health warnings to alert customers if a product contains ingredients that should be avoided. The cart 300 can suggest healthier alternatives when applicable to enhance health safety for those with dietary restrictions. [0127] The cloud server 310 can implement an advanced shopping cart reservation system that allows customers to reserve a cart with specific features, such as an eco-friendly models, through an app with preferences pre-loaded. The function ensures a seamless, personalized experience for customers from the moment of arrival.

[0128] The cart 300 can utilize the computing device 316 and the display device 330 to provide the ability to try on clothes or accessories virtually. To implement this function, the cart 300 can utilize AR features for virtual try-ons of clothing, sunglasses, or makeup, enabling customers to see how items look without fitting rooms. This function can save time for apparel shoppers and enhances convenience.

[0129] The cart 300 can be configured into a smart child or family mode to offer kidfriendly features, such as games or trivia on the cart screen, to keep children entertained while shopping. This function can reduce stress for parents and keep kids engaged.

[0130] The sensors 326 can include integrated food freshness sensors that detect freshness of produce or perishable items. The cart 300 can utilize the sensors 326 to alert shoppers if a product is near expiration. The use of freshness sensors can ensure that shoppers buy fresh items and reduce food spoilage.

[0131] Similarly, the scanner 320 can be used for expiration date detection and to provide freshness recommendations. Through this function, the scanner 320 can detect item expiration dates and notify shoppers if products are near expiration, which can ensure that customers choose fresh products. [0132] The cart 300 use store traffic data to suggest less crowded aisles or checkouts, to optimize routes, and to avoid congestion. The cart 300 can use the smart recommendations for store navigation functions to streamline the experience and to cut down the time spent in busy areas.

[0133] The cart 300 can implement an automated cart-to-counter ordering system for fresh goods. This function enables customers to place orders for items that need to be weighed or that need custom preparation directly from the cart. The function can reduce waiting times at service counters and can free customers to continue shopping.

[0134] The cloud server 310 can provide automated stock refill alerts and restock requests for store staff. The cloud server 310 can obtain data from the cart 300 to detects low stock and to send notifications to staff for prioritized restocking. The function improves availability and shopping satisfaction by maintaining inventory.

[0135] The cart 300 can utilize a quick-scan wish list and substitution finder function to suggest close substitutes when a wish list item is unavailable. The function prevents missed items and improves the likelihood of full-cart purchases.

[0136] The cart 300 can provide instant food pairing and recipe suggestions based upon the contents therein. As items are added, the cart 300 can suggest meal kits or complementary products to aid meal planning and to boost convenience for customers seeking easy meal ideas.

[0137] The cart 300 can operate in a smart multi-user shopping mode for families or groups. This mode allows each person within the family or group to add items to a shared cart remotely to prove collaborative group shopping and to reduce duplicate purchases.

[0138] The cloud server 310 can implement a customer feedback system with reward incentives to offer feedback prompts at checkout. Then, shoppers can be rewarded with points or discounts. The feedback system can provide the cloud server 310 with the ability to gather insights and increase customer satisfaction.

[0139] The cart 300 can implement a hands-free cart parking and retrieval function. The function provides the ability to park the cart 300 near an entrance and to recall the cart 300, as needed. The function adds flexibility and is particularly helpful for browsing or in tight spaces.

Exemplary Cloud Computing Environment [0140] It is understood in advance that although this disclosure includes a detailed description on cloud computing, implementation of the teachings recited herein are not limited to a cloud computing environment. Rather, embodiments of the present invention are capable of being implemented in conjunction with any other type of computing environment now known or later developed.

[0141] Cloud computing is a model of service delivery for enabling convenient, on- demand network access to a shared pool of configurable computing resources (e.g. networks, network bandwidth, servers, processing, memory, storage, applications, virtual machines, and services) that can be rapidly provisioned and released with minimal management effort or interaction with a provider of the service. This cloud model can include at least five characteristics, at least three service models, and at least four deployment models.

[0142] Characteristics are as follows:

[0143] On-demand self-service: a cloud consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with the service's provider.

[0144] Broad network access: capabilities are available over a network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

[0145] Resource pooling: the provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to demand. There is a sense of location independence in that the consumer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter).

[0146] Rapid elasticity: capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.

[0147] Measured service: cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service. [0148] Service Models are as follows:

[0149] Software as a Service (SaaS): the capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based e-mail). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.

[0150] Platform as a Service (PaaS): the capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including networks, servers, operating systems, or storage, but has control over the deployed applications and possibly application hosting environment configurations.

[0151] Infrastructure as a Service (laaS): the capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls).

[0152] Deployment Models are as follows:

[0153] Private cloud: the cloud infrastructure is operated solely for an organization. It can be managed by the organization or a third party and can exist on-premises or off-premises. [0154] Community cloud: the cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It can be managed by the organizations or a third party and can exist on-premises or off-premises.

[0155] Public cloud: the cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services.

[0156] Hybrid cloud: the cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds). [0157] A cloud computing environment is service oriented with a focus on statelessness, low coupling, modularity, and semantic interoperability. At the heart of cloud computing is an infrastructure comprising a network of interconnected nodes.

[0158] Exemplary cloud systems can be provided by AWS (Amazon Web Services) of Amazon.com, Inc. of Seattle, Washington. Other exemplary cloud systems include Azure, Google Cloud, local storage, and other equivalent systems. Azure is provided by Microsoft Corporation of Redmond, Washington. Google Cloud is provided by Google LLC of Mountain View, California.

[0159] An exemplary cloud-native system is Kubemetes (k8s), which is an open-source container orchestration system for automating software deployment, scaling, and management. The system was designed by Google, originally, The system is now maintained by a worldwide community of contributors, and the trademark is held by the Cloud Native Computing Foundation.

[0160] Referring now to FIG. 5, a schematic of an example of a cloud computing node is shown. Cloud computing node 410 is only one example of a suitable cloud computing node and is not intended to suggest any limitation as to the scope of use or functionality of embodiments of the invention described herein. Regardless, cloud computing node 410 is capable of being implemented and/or performing any of the functionality set forth hereinabove.

[0161] In cloud computing node 410 there is a computer system/server 412, which is operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments, and/or configurations that can be suitable for use with computer system/server 412 include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments that include any of the above systems or devices, and the like.

[0162] Computer system/server 412 can be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Computer system/server 412 can be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules can be located in both local and remote computer system storage media including memory storage devices.

[0163] As shown in FIG. 5, computer system/server 412 in cloud computing node 410 is shown in the form of a general -purpose computing device. The components of computer system/server 412 can include, but are not limited to, one or more processors or processing units 416, a system memory 428, and a bus 418 that couples various system components including system memory 428 to processor 416.

[0164] Bus 418 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnects (PCI) bus. [0165] Computer system/server 412 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer system/server 412, and it includes both volatile and non-volatile media, removable and nonremovable media.

[0166] System memory 428 can include computer system readable media in the form of volatile memory, such as random access memory (RAM) 430 and/or cache memory 432. Computer system/server 412 can further include other removable/non-removable, volatile/non-volatile computer system storage media. By way of example only, storage system 434 can be provided for reading from and writing to a non-removable, non-volatile magnetic media (not shown and typically called a “hard drive”). Although not shown, a magnetic disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a “floppy disk”), and an optical disk drive for reading from or writing to a removable, non-volatile optical disk such as a CD-ROM, DVD-ROM or other optical media can be provided. In such instances, each can be connected to bus 418 by one or more data media interfaces. As will be further depicted and described below, memory 428 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

[0167] Program/utility 440, having a set (at least one) of program modules 442, can be stored in memory 428 by way of example, and not limitation, as well as an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data or some combination thereof, can include an implementation of a networking environment. Program modules 442 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.

[0168] Computer system/server 412 can also communicate with one or more external devices 414 such as a keyboard, a pointing device, a display 424, etc.; one or more devices that enable a user to interact with computer system/server 412; and/or any devices (e.g., network card, modem, etc.) that enable computer system/server 412 to communicate with one or more other computing devices. Such communication can occur via Input/Output (I/O) interfaces 422. Still yet, computer system/server 412 can communicate with one or more networks such as a local area network (LAN), a general wide area network (WAN), and/or a public network (e.g., the Internet) via network adapter 420. As depicted, network adapter 420 communicates with the other components of computer system/server 412 via bus 418. It should be understood that although not shown, other hardware and/or software components could be used in conjunction with computer system/server 412. Examples, include, but are not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

Exemplary Computing Devices

[0169] Any suitable computing device or group of computing devices can be used for performing the operations described herein. For example, FIG. 6 depicts an example of the computing device 500.

[0170] The depicted example of a computing device 500 includes a processor 502 communicatively coupled to one or more memory devices 504. The processor 502 executes computer-executable program code stored in a memory device 504, accesses information stored in the memory device 504, or both. Examples of the processor 502 include a microprocessor, an application-specific integrated circuit (“ASIC”), a field-programmable gate array (“FPGA”), or any other suitable processing device. The processor 502 can include any number of processing devices, including a single processing device.

[0171] A memory device 504 includes any suitable non-transitory computer-readable medium for storing program code 505, program data 507, or both. A computer-readable medium can include any electronic, optical, magnetic, or other storage device capable of providing a processor with computer-readable instructions or other program code. Non- limiting examples of a computer-readable medium include a magnetic disk, a memory chip, a ROM, a RAM, an ASIC, optical storage, magnetic tape or other magnetic storage, or any other medium from which a processing device can read instructions. The instructions can include processor-specific instructions generated by a compiler or an interpreter from code written in any suitable computer-programming language, including, for example, C, C++, C#, Visual Basic, Java, Python, Perl, JavaScript, Go, and ActionScript.

[0172] In some embodiments, one or more memory devices 504 stores program data 507 that includes one or more datasets and models described herein. Examples of these datasets include interaction data, performance data, etc. In some embodiments, one or more of data sets, models, and functions are stored in the same memory device (e.g., one of the memory devices 504). In additional or alternative embodiments, one or more of the programs, data sets, models, and functions described herein are stored in different memory devices 504 accessible via a data network. One or more buses 506 are also included in the computing device 500. The buses 506 communicatively couples one or more components of a respective one of the computing devices 500.

[0173] In some embodiments, the computing device 500 also includes a network interface device 510. The network interface device 510 includes any device or group of devices suitable for establishing a wired or wireless data connection to one or more data networks. Non-limiting examples of the network interface device 510 include an Ethernet network adapter, a modem, and/or the like. The computing device 500 is able to communicate with one or more other computing devices (e.g., a computing device executing a knowledge graph generation device 102) via a data network using the network interface device 510.

[0174] The computing device 500 can also include a number of external or internal devices, an input device 520, a presentation device 518, or other input or output devices. For example, the computing device 500 is shown with one or more input/output (“VO”) interfaces 508. An VO interface 508 can receive input from input devices or provide output to output devices. An input device 520 can include any device or group of devices suitable for receiving visual, auditory, or other suitable input that controls or affects the operations of the processor 502. Non-limiting examples of the input device 520 include a touchscreen, a mouse, a keyboard, a microphone, a separate mobile computing device, etc. A presentation device 518 can include any device or group of devices suitable for providing visual, auditory, or other suitable sensory output. Non-limiting examples of the presentation device 518 include a touchscreen, a monitor, a speaker, a separate mobile computing device, etc. Exemplary Mobile Device

[0175] Referring now to FIG. 7 with continuing reference to the foregoing figures, an exemplary mobile device, generally designated by the numeral 600, is shown. The mobile device 600 can be the mobile device 312 shown in FIG. 4.

[0176] Mobile device 600 can include operating system 610 and various types of mobile application(s) 612. In some implementations, mobile application(s) 612 can include one or more client application(s) and/or components of a client application. In this exemplary embodiment, one of the mobile applications 612 can be an app that can be used to access the cart 105 shown in FIGS. 1-2 and/or the cart 300 shown in FIG. 4. The app can be configured to perform or to enable the various functions of the cart 105 and/or the cart 300 set forth above.

[0177] Mobile device 600 can include processor 614 for performing tasks such as signal coding, data processing, input/output processing, power control, and/or other functions, and memory 616 that can be used for storing data and/or code for running operating system 610 and/or mobile application(s) 612. Example data can include web pages, text, images, sound files, video data, or other data to be sent to and/or received from one or more network servers or other devices via one or more wired and/or wireless networks, such as devices within the cloud-based computer system 100 shown in FIG. 1.

[0178] Mobile device 600 can include screen 618 and camera 620. The camera 620 can include a lighting device 622. Operating system 610, application(s) 612, processor 614, and/or memory 616 can cooperate to utilize the camera 620 and the lighting device 622 to obtain images. The screen 618 can display rendered output from mobile application(s) 612 that can include text, images, graphs, charts, spreadsheets, tables, maps, and other similar output.

[0179] The mobile device 600 can configure and implement a global positioning system (GPS) 624. The operating system 610 and/or the application(s) 612 can communicate with the GPS 624 to obtain location data. The GPS 624 can be used by the app 612 to help locate the cart 105 shown in FIGS. 1-2 and/or the cart 300 shown in FIG. 4.

General Considerations

[0180] Numerous specific details are set forth herein to provide a thorough understanding of the claimed subject matter. However, those skilled in the art will understand that the claimed subject matter can be practiced without these specific details. In other instances, methods, apparatuses, or systems that would be known by one of ordinary skill have not been described in detail so as not to obscure claimed subject matter.

[0181] Unless specifically stated otherwise, it is appreciated that throughout this specification discussions utilizing terms such as “processing,” “computing,” “calculating,” “determining,” and “identifying” or the like refer to actions or processes of a computing device, such as one or more computers or a similar electronic computing device or devices, that manipulate or transform data represented as physical electronic or magnetic quantities within memories, registers, or other information storage devices, transmission devices, or display devices of the computing platform.

[0182] The system or systems discussed herein are not limited to any particular hardware architecture or configuration. A computing device can include any suitable arrangement of components that provide a result conditioned on one or more inputs. Suitable computing devices include multipurpose microprocessor-based computer systems accessing stored software that programs or configures the computing system from a general purpose computing apparatus to a specialized computing apparatus implementing one or more embodiments of the present subject matter. Any suitable programming, scripting, or other type of language or combinations of languages can be used to implement the teachings contained herein in software to be used in programming or configuring a computing device. [0183] Embodiments of the methods disclosed herein can be performed in the operation of such computing devices. The order of the blocks presented in the examples above can be varied — for example, blocks can be re-ordered, combined, and/or broken into sub-blocks. Certain blocks or processes can be performed in parallel.

[0184] The use of “adapted to” or “configured to” herein is meant as an open and inclusive language that does not foreclose devices adapted to or configured to perform additional tasks or steps. Additionally, the use of “based on” is meant to be open and inclusive, in that a process, step, calculation, or other action “based on” one or more recited conditions or values can, in practice, be based on additional conditions or values beyond those recited. Headings, lists, and numbering included herein are for ease of explanation only and are not meant to be limiting.

[0185] While the present subject matter has been described in detail with respect to specific embodiments thereof, it will be appreciated that those skilled in the art, upon attaining an understanding of the foregoing, may readily produce alternatives to, variations of, and equivalents to such embodiments. Accordingly, it should be understood that the present disclosure has been presented for purposes of example rather than limitation, and does not preclude the inclusion of such modifications, variations, and/or additions to the present subject matter as would be readily apparent to one of ordinary skill in the art.

[0186] Any element in a claim that does not explicitly state “means for” performing a specified function, or “step for” performing a specified function, is not to be interpreted as a “means” or “step” clause as specified in 35 U.S.C. § 112(f). In particular, any use of “step of’ in the claims is not intended to invoke the provision of 35 U.S.C. § 112(f).

Supported Features and Embodiments

[0187] The detailed description provided above in connection with the appended drawings explicitly describes and supports various features of a smart cart system. By way of illustration and not limitation, supported embodiments include a smart cart for use in retail stores, comprising: a frame; a sensor for scanning barcodes or NFC tags; a front and back camera for security and customer action monitoring; an attachable weight scale for item accuracy; and an attachable motor system with two independently driven tractor-style wheels. [0188] Supported embodiments include the foregoing smart cart, further comprising a front camera and a back camera, wherein said front camera captures images of the customer and communicates with the control system to provide personalized shopping recommendations based on customer preferences and actions.

[0189] Supported embodiments include any of the foregoing smart carts, further comprising an attachable weight scale that records weight changes as items are added or removed from the cart and relays this data to the control system for real-time pricing updates. [0190] Supported embodiments include any of the foregoing smart carts equipped with an attachable motor system featuring two independently driven tractor-style wheels, allowing the cart to maneuver smoothly through store aisles based on guidance from the navigation system.

[0191] Supported embodiments include any of the foregoing smart carts, further comprising cliff sensors that use infrared light to detect obstacles and changes in terrain, and a control system that adjusts the cart's path or stops it to prevent collisions when signals from the cliff sensors indicate potential hazards.

[0192] Supported embodiments include any of the foregoing smart carts incorporating a user authentication system that enables a secure and personalized connection between the customer and the cart, allowing for real-time interaction, item tracking, and tailored recommendations.

[0193] Supported embodiments include any of the foregoing smart carts featuring a communication module for continuous data exchange with a central store management system, enabling real-time updates on inventory levels, customer preferences, and security alerts.

[0194] Supported embodiments include any of the foregoing smart carts, comprising a touchscreen interface that provides a graphical display of the digital shopping list, store maps, and personalized recommendations, enabling customers to make informed selections, and communicate with the control system.

[0195] Supported embodiments include any of the foregoing smart carts incorporating a facial recognition technology within the front camera that identifies customers and adapts shopping recommendations and offers based on recognized customer profiles.

[0196] Supported embodiments include any of the foregoing smart carts powered by a rechargeable battery that supplies power to the motor system and electronic components while maintaining safety standards, preventing overcharging and overheating.

[0197] Supported embodiments include any of the foregoing smart carts featuring adjustable components, including the sensor and cliff sensors, to accommodate items of various sizes and shapes and adapt to different store layouts and configurations.

[0198] Supported embodiments include any of the foregoing smart carts further comprising a locking mechanism that secures selected items in the cart during the shopping journey, preventing tampering or theft and facilitating a streamlined checkout process when disengaged.

[0199] Supported embodiments include a method for tracking items in a retail store using a smart cart, comprising scanning barcodes and NFC tags using a sensor, processing scanned data in a control system, updating a digital shopping list, and autonomously navigating the cart through store aisles based on said digital shopping list using a navigation system.

[0200] Supported embodiments include the foregoing method further comprising capturing customer images with front and back cameras, analyzing these images to provide personalized shopping recommendations, and recording customer actions for later analysis.

[0201] Supported embodiments include any of the foregoing methods involving the use of an attachable weight scale to record changes in weight as items are added or removed from the cart and integrate this data with the digital shopping list for real-time pricing updates. [0202] Supported embodiments include any of the foregoing methods utilizing an attachable motor system to maneuver the cart smoothly through store aisles based on guidance from the navigation system, featuring independently driven wheels and responding to signals from cliff sensors detecting obstacles or terrain changes.

[0203] Supported embodiments include any of the foregoing methods incorporating a user authentication system that establishes a secure connection between the customer and the cart, enabling real-time interaction, item tracking, and personalized recommendations.

[0204] Supported embodiments include any of the foregoing methods involving continuous data exchange with a central store management system via a communication module, facilitating real-time updates on inventory levels, customer preferences, and security alerts.

[0205] Supported embodiments include any of the foregoing methods featuring a touchscreen interface that displays the digital shopping list, store maps, and personalized recommendations, allowing customers to make informed selections and communicate with the control system.

[0206] Supported embodiments include any of the foregoing methods using facial recognition technology to identify customers and provide tailored shopping recommendations and offers based on recognized customer profiles.

[0207] Supported embodiments include a network of smart carts in a shopping center, each cart comprising a frame, a sensor for scanning barcodes and NFC tags, a control system, and a navigation system, wherein said sensor scans product identifiers, said control system processes and updates a digital shopping list, and said navigation system guides each cart through store aisles based on said digital shopping list, further wherein each cart communicates with neighboring carts to share data from their cameras, collaboratively creating a real-time, holistic map of the shopping center based on camera feeds, aiding in optimal customer navigation and store layout optimization.

[0208] Supported embodiments include a smart cart for use in a retail store comprising: a frame; a sensor for scanning barcodes and NFC tags mounted on the frame; a control system; and a navigation system; wherein said sensor scans product identifiers, said control system processes and updates a digital shopping list, and said navigation system guides the cart through store aisles based on said digital shopping list.

[0209] Supported embodiments include a device, an apparatus, and/or means for implementing any of the foregoing systems, methods, networks, or portions thereof. [0210] The detailed description provided above in connection with the appended drawings is intended as a description of examples and is not intended to represent the only forms in which the present examples can be constructed or utilized.

[0211] It is to be understood that the configurations and/or approaches described herein are exemplary in nature, and that the described embodiments, implementations and/or examples are not to be considered in a limiting sense, because numerous variations are possible.

[0212] The specific processes or methods described herein can represent one or more of any number of processing strategies. As such, various operations illustrated and/or described can be performed in the sequence illustrated and/or described, in other sequences, in parallel, or omitted. Likewise, the order of the above-described processes can be changed.

[0213] Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are presented as example forms of implementing the claims.

Claims

CLAIMS I claim:

1. A smart cart for use in retail stores, comprising: a frame; a sensor for scanning barcodes or NFC tags; a front and back camera for security and customer action monitoring; an attachable weight scale for item accuracy; and an attachable motor system with two independently driven tractor-style wheels.

2. The smart cart of claim 1, further comprising a front camera and a back camera, wherein said front camera captures images of the customer and communicates with the control system to provide personalized shopping recommendations based on customer preferences and actions.

3. The smart cart of claim 1, further comprising an attachable weight scale that records weight changes as items are added or removed from the cart and relays this data to the control system for real-time pricing updates.

4. The smart cart of claim 1, equipped with an attachable motor system featuring two independently driven tractor-style wheels, allowing the cart to maneuver smoothly through store aisles based on guidance from the navigation system.

5. The smart cart of claim 4, further comprising cliff sensors that use infrared light to detect obstacles and changes in terrain, and a control system that adjusts the cart's path or stops it to prevent collisions when signals from the cliff sensors indicate potential hazards.

6. The smart cart of claim 1, incorporating a user authentication system that enables a secure and personalized connection between the customer and the cart, allowing for real-time interaction, item tracking, and tailored recommendations.

7. The smart cart of claim 1, featuring a communication module for continuous data exchange with a central store management system, enabling real-time updates on inventory levels, customer preferences, and security alerts.

8. The smart cart of claim 1, comprising a touchscreen interface that provides a graphical display of the digital shopping list, store maps, and personalized recommendations, enabling customers to make informed selections, and communicate with the control system.

9. The smart cart of claim 2, incorporating a facial recognition technology within the front camera that identifies customers and adapts shopping recommendations and offers based on recognized customer profiles.

10. The smart cart of claim 1, powered by a rechargeable battery that supplies power to the motor system and electronic components while maintaining safety standards, preventing overcharging and overheating.

11. The smart cart of claim 1, featuring adjustable components, including the sensor and cliff sensors, to accommodate items of various sizes and shapes and adapt to different store layouts and configurations.

12. The smart cart of claim 1, further comprising a locking mechanism that secures selected items in the cart during the shopping journey, preventing tampering or theft and facilitating a streamlined checkout process when disengaged.

13. A smart shopping cart system comprising: a cart; a mobile app integrated with the cart with the mobile app being configured to establish a connection between a mobile device and the cart upon entering a designated area and the mobile app enabling the cart to access a shopping list, preferences, and prior settings; and an autonomous navigation module within the cart for directing the cart to follow a shopper as the shopper moves throughout a shopping environment.

14. The smart shopping cart system of claim 13, wherein the cart further comprises: a screen; and a basket having a weight scale and a scanner embedded therein; wherein the weight scale and the scanner are configured to detect, to identify, and to log items as the items are placed in the basket, and wherein the cart displays item information, price, and nutritional data in real-time on the screen.

15. The smart shopping cart system of claim 13, wherein the cart further comprises: a basket; an inventory system; and a robotic arm configured to autonomously retrieve items from store shelves based on shopper instructions received via the mobile device and to place the items in the basket while logging the items in the inventory system.

16. The smart shopping cart system of claim 15, wherein the robotic arm is further configured to assist shoppers by retrieving items from different aisles simultaneously.

17. The smart shopping cart system of claim 15, wherein the robotic arm is further configured to assist shoppers by reaching items that are difficult to access, based on preprogrammed instructions from the shoppers.

18. The smart shopping cart system of claim 13, further comprising: a checkout and security module with a light indicator system having a red light and a green light; and an item count verification sensor system to ensure product accuracy and to prevent discrepancies during checkout; wherein the red light signifies unpaid items; wherein the green light confirms a completed transaction, activated upon payment through the mobile app or at a designated kiosk; and

19. The smart shopping cart system of claim 13, wherein the cart includes sensors with the cart being configured to autonomously assist the shopper by following the shopper to a designated parking area post-purchase, by facilitating easy transfer of items from the cart to a vehicle, and by utilizing the sensors to detect when the basket is empty after unloading.

20. The smart shopping cart system of claim 13, wherein the cart includes a basket and the autonomous navigation module includes an autonomous return function for returning the cart to a charging station within a shopping environment after detecting that the basket is empty.

21. The smart shopping cart system of claim 20, wherein the autonomous return function provides the cart with the ability to dock within the charging station and to recharge, whereby the autonomous return function prepares the cart for use by a new shopper.

22. The smart shopping cart system of claim 13, wherein the autonomous navigation module includes adaptive navigation algorithms for both indoor and outdoor environments to enable a smooth transition between store interiors and parking areas to facilitate customer convenience and post-checkout assistance.

23. The smart shopping cart system of claim 13, further comprising: one or more cameras integrated with the cart, wherein the cameras are configured to scan items for checkout upon placement in the cart for accurate logging and pricing, to identify the locations of items within the store to assist with item retrieval, to support navigation by detecting store layout and obstacles in the shopping environment and parking areas, and to facilitate autonomous following of the shopper by tracking their position and movements.

24. The smart shopping cart system of claim 23, wherein the one or more cameras operate in conjunction with the mobile device and autonomous navigation module to provide realtime visual data for enhanced navigation, item identification, and tracking functionalities, ensuring seamless movement of the cart in both indoor and outdoor environments.

25. A method for enhancing shopping convenience using a smart shopping cart system, comprising: establishing a connection between a mobile device and a cart to access personalized shopping preferences; autonomously following a shopper through a shopping environment; detecting items placed in the basket in real-time; displaying item information on an integrated screen; updating the total cost; enabling item retrieval by a robotic arm controlled via the mobile device; facilitating a seamless checkout process with security indicators for payment verification; and providing post-purchase assistance to the parking lot and autonomous return to a designated charging station for subsequent use.