WO2023166410A1 - Intelligent goods delivery system and method for logistics optimization - Google Patents
Intelligent goods delivery system and method for logistics optimization Download PDFInfo
- Publication number
- WO2023166410A1 WO2023166410A1 PCT/IB2023/051845 IB2023051845W WO2023166410A1 WO 2023166410 A1 WO2023166410 A1 WO 2023166410A1 IB 2023051845 W IB2023051845 W IB 2023051845W WO 2023166410 A1 WO2023166410 A1 WO 2023166410A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- goods
- logistic
- cloud platform
- intelligent
- logistics
- Prior art date
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/346—Sorting according to other particular properties according to radioactive properties
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C7/00—Sorting by hand only e.g. of mail
- B07C7/005—Computer assisted manual sorting, e.g. for mail
Definitions
- the present invention falls within the field of technological solutions used in logistics able to optimize the various steps of the work, from the management of storage to the destination of the goods.
- logistic processes and communication devices adapted to share information affecting the delivery of goods are described.
- Patent ITGE20090021 shows a method for managing the distribution of products or goods from at least one warehouse to a plurality of delivery points of a distribution network through at least one means of transport within a predetermined planning time interval.
- This method is adapted to define the quantity of product to be delivered and the moment in which the delivery must take place for each point of the network and includes a step of classification of the points of the network to divide them into points for which the delivery is established by the network manager and points for which the delivery is autonomous.
- AMR automatic transport and storage systems
- These automatic solutions are applied in repetitive tasks to ensure a continuous workflow. These are systems that not only accelerate the activities that take place in the logistics installations, but also optimize the storage capacity of the installation as much as possible, allowing the goods to be compacted. Instead, mobile robots are extremely useful in processes such as goods handling or order picking. There is no doubt, therefore, that these solutions only partially address the critical issues set out so far.
- the present invention proposes an intelligent goods delivery system, comprising technologies and applications suitable for optimizing logistics. Given the increase in online purchases in the last 5 years, attention is paid to the following aspects to be strengthened in the field of logistics:
- the present invention aims to support companies which deal with last mile transport and logistics and which, above all, manage a large number of orders at the same time.
- Said delivery system includes:
- a logistic goods classifying unit for collecting all current information about the logistic goods of the distribution center on a dedicated cloud platform
- a logistics goods allocation unit for the distribution center, so as to pile up the logistic goods belonging to the same courier station in one place according to the suggestions of said dedicated cloud platform.
- Said system allows the process control to be increased, optimizing warehouse performance and minimizing operating costs with the use of connected devices and the collection of all the data that is produced. An analysis of this data allows the logistics manager to have complete information on what is happening in the installation before making a decision. Said system also provides for the replacement of manual systems with automatic handling means or robots in more repetitive activities, such as the handling of goods, the positioning and extraction of load units or the preparation of orders. These processes are coordinated via a cloud platform, which limits the risk of errors in the warehouse and optimizes all the operational cycles that take place in the installation, from product location management to operator picking routes.
- the delivery system includes a plurality of machinery and devices adapted to optimize and manage deliveries, which are described below:
- a logistics goods scanning tunnel including a plurality of conveyors and cameras
- AMRs autonomous mobile robots
- Each machine or device described above includes:
- the present invention also includes a cloud platform adapted to provide planning, management and monitoring tools for multimodal transport chains, guaranteeing maximum integration, interoperability and management and control tools to the main logistics players.
- Said system consequently comprises an intelligent goods deliveiy method for optimizing logistics, characterized in that it follows the following steps:
- the logistic goods belonging to the same station are stacked in the distribution center.
- Said cloud platform takes care of calculating the transport routes, loading, by the distribution center, the logistic goods on the corresponding transport vehicles according to the transport routes, and delivering, by the transport vehicles, the goods according to the transport routes.
- said cloud platform assigns the transport vehicles and the transport paths in a smart manner, according to the information on the logistic goods and the information on the address of the express stations, thereby increasing the delivery efficiency of logistic goods and reducing delivery costs of logistic goods.
- the transport route of each vehicle is calculated based on the courier station address corresponding to the logistics goods delivered by each vehicle by generating an address list based on the courier station address corresponding to the logistics goods.
- FIGURE 1 shows, by way of example, the operation of the goods scanning tunnel, consisting of a plurality of belt conveyors 1, a series of high-tech cameras 2 adapted to take pictures of all sides of a package, by acquiring information contained in bar codes and in other machine- readable texts, and a software adapted to decode the information concerning the good/product which is stored in said bar codes and to guide the goods/products to the destination.
- Said tunnel also comprises a series of motion detecting sensors 3, for automatically analyzing and optimizing the sequence of movements inside logistic and industrial environments.
- FIGURE 2 shows, by way of example, an industrial label printer 4 positioned at key locations in the warehouse adapted to enhance the creation and printing of shipping and receiving labels, pallet labels, and product IDs/serial numbers.
- FIGURE 3 shows the operation of the AMRs.
- the picking robot 6 lifts the product from the warehouse 5 and moves it to a picking station, in the station the catalog robot 7 scans the label, processes the information and the robot for the sorting of goods 8, belonging to the type of tracked robots, transports it to the shipping area.
- FIG. 1 the operation of the goods scanning tunnel, which constitutes the essential structure of rapid and precise tracking and sorting activities in distribution centers, is exemplified.
- An e-commerce, mail delivery and parcel shipping would slow down dramatically without the help of the tunnel.
- the latter has 3 basic components:
- Said tunnel also includes software to decode the product information stored in the bar codes and to guide the packages to their correct destination.
- the conveyors 1 move goods through this set of scanning technologies in the same way that a truck carries its load through a tunnel, hence the name “scanning tunnel”.
- the cameras 2 and software help the robots, depicted in
- FIG 3 find components on assembly lines and move them to the next step of the manufacturing process. Furthermore, through these tools it is possible to scan bar codes and simplify the management of packages.
- the individual cameras 2 and the software can be installed at all kinds of critical points within a distribution system.
- the scanning tunnel is therefore one of the most sophisticated industrial vision technologies because it brings together a large number of scanning operations in one place. Said scanning tunnel photographs each of the six sides of a carton or box simultaneously and is typically installed in the final step of the distribution process to ensure that the right box arrives in the right truck for delivery.
- the associated software uses artificial intelligence algorithms that can accurately scan bar codes even if they are tom, wrinkled or obscured by plastic wrappers. This is especially important as packages reach the scanning tunnel because conveyor belt operations can damage the bar code labels. The scanning tunnel becomes the last opportunity to correct this type of damage before the boxes leave the distribution center.
- the industrial label printer 4 made of highly resistant metal is exemplified, both in the external body and in the internal components. Said industrial printer
- Said industrial printer 4 prints black and white adhesive labels and specifically can print ID
- the picking robot 6 lifts the product from the warehouse 5 and moves it to a picking station, in the station the catalog robot 7 scans the label, processes the information and the robot for the sorting of goods 8, belonging to the type of tracked robots, transports it to the shipping area.
- Said goods delivery system also includes a series of wearable devices adapted to increase the performance of operating processes by enhancing the activity of operators assigned to storage and order preparation; these devices, connected to the cloud platform to record all the information acquired, usually take the form of everyday objects (watches, bracelets, rings or clothing). These devices are provided with sensors that monitor various variables or are used to laser scan the items in the warehouse.
- Said system therefore includes:
- a device consisting of a pair of headphones, a microphone and a monitoring device attached to the operator's waistband by means of which operators receive the instructions sent by the system via headphones;
- said goods delivery system provides for a software application associated with a mobile device, by way of non-limiting example, also comprising the Android-based, BSD-based, macos-based and ios-based operating systems. Said application allows keeping a network of professional operators connected through a unified dashboard that displays all information on orders, tracks all shipments and optimizes delivery channels.
- the cloud platform which calculates the transport itinerary of each vehicle, based on the address of the courier station corresponding to the logistic goods delivered by each vehicle and generating an address list based on the courier station address corresponding to the logistics goods, it uses artificial intelligence software that allows continuous optimization of distribution routes.
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Warehouses Or Storage Devices (AREA)
Abstract
An intelligent goods delivery system for logistics optimization, comprising: - a tunnel for scanning logistic goods; - a plurality of industrial label printers (4), - a plurality of motion detecting sensors (3); - a plurality of autonomous mobile robots adapted to perform tasks and move around the warehouse; said system also including a plurality of wearable devices adapted to increase the potential of the operators involved in storage and order preparation; said devices, connected to the cloud platform to record all the information acquired, including: - a system comprising a pair of headphones, a microphone and a monitoring device attached to the operator's belt; - intelligent glasses provided with a built-in camera; - portable printers attachable to the waistband; - ring scanner employed for the rapid and precise reading of bar codes.
Description
“Intelligent goods delivery system and method for logistics optimization”
Description
Field of the invention
The present invention falls within the field of technological solutions used in logistics able to optimize the various steps of the work, from the management of storage to the destination of the goods. In particular, logistic processes and communication devices adapted to share information affecting the delivery of goods are described.
Prior art
The world of production and distribution has changed profoundly over the past fifty years.
Globalization on the one hand and digitalization on the other have impacted on dynamics, approaches and strategies. To contain costs, optimize services and satisfy the demand of consumers (increasingly changing but also much more informed), the supply chain must revisit its relationship and communication logic, perfecting delivery processes. From 2009 to 2014, logistics service providers, divided into road haulers organized in joint and non-joint companies, couriers/express couriers, interport and intermodal terminal managers, warehouse managers, rail transport operators and combined road-rail transport, logistics operators and shippers, experienced a 9.4% reduction in the total number of companies. The data was released by the Contract Logistics Observatory of the School of Management of the Milan
Polytechnic. The researchers highlighted how complex and articulated logistics activities are for companies and how it is possible to create value by resorting to partnerships (horizontal cooperation) directly with customers, as well as with IT and handling system suppliers. To this end, the integration between operators and the sharing of information is extremely strategic, requiring a rethinking of systems and infrastructures. Patent ITGE20090021 shows a method for managing the distribution of products or goods from at least one warehouse to a plurality of delivery points of a distribution network through at least one means of transport
within a predetermined planning time interval. This method is adapted to define the quantity of product to be delivered and the moment in which the delivery must take place for each point of the network and includes a step of classification of the points of the network to divide them into points for which the delivery is established by the network manager and points for which the delivery is autonomous. However, no attention is paid to the implementation of new technologies in the warehouse, such as automatic transport and storage systems or mobile robots (AMR). These automatic solutions are applied in repetitive tasks to ensure a continuous workflow. These are systems that not only accelerate the activities that take place in the logistics installations, but also optimize the storage capacity of the installation as much as possible, allowing the goods to be compacted. Instead, mobile robots are extremely useful in processes such as goods handling or order picking. There is no doubt, therefore, that these solutions only partially address the critical issues set out so far.
Description of the invention
The present invention proposes an intelligent goods delivery system, comprising technologies and applications suitable for optimizing logistics. Given the increase in online purchases in the last 5 years, attention is paid to the following aspects to be strengthened in the field of logistics:
- fleet management, with the aim of coordinating resources and sharing fleet data;
- warehouse management, for the administration and organization of the warehouse;
- tracking, for tracking and tracing driver shipment routes.
The present invention aims to support companies which deal with last mile transport and logistics and which, above all, manage a large number of orders at the same time. Said delivery system includes:
- a logistics goods scanning unit for the distribution center, dedicated to scanning the logistics goods;
- a logistic goods classifying unit, for collecting all current information about the logistic goods of the distribution center on a dedicated cloud platform;
- a logistics goods allocation unit for the distribution center, so as to pile up the logistic goods belonging to the same courier station in one place according to the suggestions of said dedicated cloud platform.
Said system allows the process control to be increased, optimizing warehouse performance and minimizing operating costs with the use of connected devices and the collection of all the data that is produced. An analysis of this data allows the logistics manager to have complete information on what is happening in the installation before making a decision. Said system also provides for the replacement of manual systems with automatic handling means or robots in more repetitive activities, such as the handling of goods, the positioning and extraction of load units or the preparation of orders. These processes are coordinated via a cloud platform, which limits the risk of errors in the warehouse and optimizes all the operational cycles that take place in the installation, from product location management to operator picking routes.
Said replacement of the operator in more physical and repetitive activities and his/her relocation in those that bring greater added value favors the safety and productivity of workers.
The delivery system includes a plurality of machinery and devices adapted to optimize and manage deliveries, which are described below:
- a logistics goods scanning tunnel, including a plurality of conveyors and cameras;
- a plurality of industrial label printers;
- a series of motion detecting sensors;
- a plurality of autonomous mobile robots, hereinafter referred to as AMRs;
- a series of wearable devices, worn by operators in charge of storage and order preparation.
Each machine or device described above includes:
- remote maintenance, remote diagnosis, and remote control;
- continuous monitoring of the working conditions and of the process parameters using corresponding sensor sets and a process drift adaptability;
- physical machine integration characteristics by modeling and simulating one’s own behavior during process execution.
The present invention, as anticipated, also includes a cloud platform adapted to provide
planning, management and monitoring tools for multimodal transport chains, guaranteeing maximum integration, interoperability and management and control tools to the main logistics players. Said system consequently comprises an intelligent goods deliveiy method for optimizing logistics, characterized in that it follows the following steps:
- scanning through said scanning tunnel a batch of logistic goods which arrive at said distribution center, and transmitting the scanning information to said cloud platform;
- establishing a summary, by means of the cloud platform, of all current information concerning the logistic goods/products, and classifying as well as numbering the logistic goods. Said goods are classified and numbered according to the courier station to which they belong, according to the courier station number;
- according to the suggestion of the cloud platform, the logistic goods belonging to the same station are stacked in the distribution center.
Said cloud platform takes care of calculating the transport routes, loading, by the distribution center, the logistic goods on the corresponding transport vehicles according to the transport routes, and delivering, by the transport vehicles, the goods according to the transport routes.
Moreover, said cloud platform assigns the transport vehicles and the transport paths in a smart manner, according to the information on the logistic goods and the information on the address of the express stations, thereby increasing the delivery efficiency of logistic goods and reducing delivery costs of logistic goods. In fact, the transport route of each vehicle is calculated based on the courier station address corresponding to the logistics goods delivered by each vehicle by generating an address list based on the courier station address corresponding to the logistics goods.
The advantages offered by the present invention are clear in the light of the above description and will be even clearer from the accompanying figures and the related detailed description.
Description of the figures
The invention will hereinafter be described in at least a preferred embodiment thereof by way of non-limiting example with the aid of the accompanying figures, in which:
- FIGURE 1 shows, by way of example, the operation of the goods scanning tunnel, consisting of a plurality of belt conveyors 1, a series of high-tech cameras 2 adapted to take pictures of all sides of a package, by acquiring information contained in bar codes and in other machine- readable texts, and a software adapted to decode the information concerning the good/product which is stored in said bar codes and to guide the goods/products to the destination. Said tunnel also comprises a series of motion detecting sensors 3, for automatically analyzing and optimizing the sequence of movements inside logistic and industrial environments.
- FIGURE 2 shows, by way of example, an industrial label printer 4 positioned at key locations in the warehouse adapted to enhance the creation and printing of shipping and receiving labels, pallet labels, and product IDs/serial numbers.
- FIGURE 3 shows the operation of the AMRs. The picking robot 6 lifts the product from the warehouse 5 and moves it to a picking station, in the station the catalog robot 7 scans the label, processes the information and the robot for the sorting of goods 8, belonging to the type of tracked robots, transports it to the shipping area.
Detailed description of the invention
The present invention will now be described purely by way of non-limiting or binding example with the aid of the figures, which illustrate some embodiments relative to the present inventive concept. With reference to FIG. 1, the operation of the goods scanning tunnel, which constitutes the essential structure of rapid and precise tracking and sorting activities in distribution centers, is exemplified. An e-commerce, mail delivery and parcel shipping would slow down dramatically without the help of the tunnel. The latter has 3 basic components:
• a plurality of conveyor belts 1 ;
• a plurality of high-tech cameras 2 which photograph all sides of a package, acquiring the information present in the bar codes and other texts readable by devices;
• a plurality of motion detecting sensors 3, for automatically analyzing and optimizing the sequence of movements inside logistic and industrial environments.
Said tunnel also includes software to decode the product information stored in the bar codes and to guide the packages to their correct destination. The conveyors 1 move goods through this set of scanning technologies in the same way that a truck carries its load through a tunnel, hence the name “scanning tunnel”. The cameras 2 and software help the robots, depicted in
Figure 3, find components on assembly lines and move them to the next step of the manufacturing process. Furthermore, through these tools it is possible to scan bar codes and simplify the management of packages. The individual cameras 2 and the software can be installed at all kinds of critical points within a distribution system. The scanning tunnel is therefore one of the most sophisticated industrial vision technologies because it brings together a large number of scanning operations in one place. Said scanning tunnel photographs each of the six sides of a carton or box simultaneously and is typically installed in the final step of the distribution process to ensure that the right box arrives in the right truck for delivery. The associated software, on the other hand, uses artificial intelligence algorithms that can accurately scan bar codes even if they are tom, wrinkled or obscured by plastic wrappers. This is especially important as packages reach the scanning tunnel because conveyor belt operations can damage the bar code labels. The scanning tunnel becomes the last opportunity to correct this type of damage before the boxes leave the distribution center.
With reference to Fig. 2, the industrial label printer 4 made of highly resistant metal is exemplified, both in the external body and in the internal components. Said industrial printer
4 uses a thermal transfer printing technology, or direct thermal printing. The main processes involved in industrial label printing are listed below:
• inventory and warehouse management;
• shipping and receiving;
• cross-docking;
• work-in-project tracking;
• compliance labeling of products;
• product information labels;
• ID and serial numbering of products;
• quality control;
• asset traceability;
• order picking and packing;
• security tags.
Said industrial printer 4 prints black and white adhesive labels and specifically can print ID
(linear bar codes) and 2D (such as data matrix and two-dimensional QR codes), texts, black and white images, tables and logos. Finally, with reference to FIG. 3, the innovative smart logistics process is shown, which sees warehouse robotics as the protagonist. Specifically, the operation of the AMRs is described, which are able to carry out activities and move around the warehouse independently. Said AMR robots can move freely within the logistics space as they are provided with advanced sensors, artificial intelligence software and digital warehouse mapping that allows them to know where they are at all times. AMRs are typically used to move light loads units, although they can be configured to transfer pallets as well. As shown in the figure, the picking robot 6 lifts the product from the warehouse 5 and moves it to a picking station, in the station the catalog robot 7 scans the label, processes the information and the robot for the sorting of goods 8, belonging to the type of tracked robots, transports it to the shipping area. Said goods delivery system also includes a series of wearable devices adapted to increase the performance of operating processes by enhancing the activity of operators assigned to storage and order preparation; these devices, connected to the cloud platform to record all the information acquired, usually take the form of everyday objects (watches, bracelets, rings or clothing). These devices are provided with sensors that monitor various variables or are used to laser scan the items in the warehouse. Said system therefore includes:
• a device consisting of a pair of headphones, a microphone and a monitoring device attached to the operator's waistband by means of which operators receive the instructions sent by the system via headphones;
• intelligent eyeglasses provided with an integrated camera, allowing to speed up product identification thanks to an immediate scanning of a bar code;
• portable printers, attachable to said waistband or mounted on the vehicles, adapted to print
labels or documents like timetables, register confirmations or delivery confirmations;
• a ring scanner employed for the rapid and precise reading of bar codes.
By virtue of these devices, one switches to hands-free operation, an essential factor for making the handling of bulky items more agile, for example. Warehouse workers can pick the reference from the load unit without hindrance, in less time and more efficiently. Furthermore, said goods delivery system provides for a software application associated with a mobile device, by way of non-limiting example, also comprising the Android-based, BSD-based, macos-based and ios-based operating systems. Said application allows keeping a network of professional operators connected through a unified dashboard that displays all information on orders, tracks all shipments and optimizes delivery channels.
Finally, in the preferred and most advantageous version of the present invention, the cloud platform which calculates the transport itinerary of each vehicle, based on the address of the courier station corresponding to the logistic goods delivered by each vehicle and generating an address list based on the courier station address corresponding to the logistics goods, it uses artificial intelligence software that allows continuous optimization of distribution routes.
Finally, it is clear that modifications, additions or variants may be made to the invention described thus far which are apparent to those skilled in the art, without departing from the scope of protection that is provided by the appended claims.
Claims
1. An intelligent goods delivery system for logistics optimization, characterized in that it comprises: (i) a logistic goods scanning unit for a distribution center, which performs scanning of the logistic goods, (ii) a logistic goods classifying unit, for collecting all current information about the logistic goods of the distribution center on a dedicated cloud platform and (iii) a logistic goods allocation unit, for the distribution center, suited to pile up said logistic goods belonging to the same courier station in a predefined place in accord with the suggestions/indications of said dedicated cloud platform; said system including:
• a scanning tunnel for said logistic goods, comprising a plurality of belt conveyors (1), a plurality of high-tech cameras (2) apt to take pictures of all sides of a package, by acquiring information contained in bar codes and in other machine-readable texts, and a software suited to decode the information concerning the good/product which is stored in said bar codes and to guide the goods/products to the correct destination;
• a plurality of industrial label printers (4), suited to improve the generation and printing of labels for freight forwarding or reception, and labels for pallets and IDs/serial numbers of the good; said printers (4) being high-speed printers employed in high volume printing;
• a plurality of motion detecting sensors (3), for automatically analyzing and optimizing the sequence of movements inside logistic and industrial environments;
• a plurality of autonomous mobile robots (AMR) for independently carrying out activities and moving inside a warehouse, provided with advanced sensors and a digital mapping of the warehouse, these AMR robots/devices comprising picking robots (6), robots for the catalog (7) and robots for the sorting of goods (8);
• a plurality of wearable devices apt to improve the performance of the activities by enhancing the activities of the operators assigned to the warehousing and the preparation of orders; wherein said wearable devices, which are connected to said cloud platform for recording all acquired information, comprise: o at least a wearable system, including a headset, a microphone and a monitoring
apparatus attachable to an operator’s waistband, usable by the operators to receive instructions transmitted by the system through the headset; o intelligent eyeglasses provided with an integrated camera, allowing to speed up product identification thanks to an immediate scanning of a bar code; o portable printers, attachable to said waistband or mounted on the vehicles, suited to print labels or documents like timetables, register confirmations or delivery confirmations; o a ring scanner employed for the rapid and precise reading of bar codes.
2. An intelligent goods delivery system for logistics optimization, according to the preceding claim 1, characterized in that each machine defined in the preceding claim has at least two of the following features:
• remote maintenance, remote diagnosis, and remote control;
• continuous monitoring of the working conditions and of the process parameters using corresponding sensor sets and a process drift adaptability;
• physical machine integration characteristics by modeling and simulating one’s own behavior during process execution.
3. An intelligent goods delivery system for logistics optimization, according to any of the preceding claims, characterized in that it comprises a cloud platform apt to provide means for planning, handling and monitoring multimodal transport chains, by ensuring maximum integration, interoperability, and handling and control instruments to the principal logistics actors.
4. An intelligent goods delivery system for logistics optimization, according to any of the preceding claims, characterized in that it comprises a software application associated with a mobile device, which for illustrative and non-limitative purposes may also include
Android-based, BSD-based, macos-based and ios-based operating systems.
5. An intelligent goods delivery method for logistics optimization, characterized in that it uses a system according to anyone of the preceding claims and in that it comprises the following steps:
scanning through said tunnel a batch of logistic goods which arrive at said distribution center, and transmitting the scanning information to a cloud platform;
- establishing a summary, by means of the cloud platform, of all current information concerning the logistic goods/products, and classifying as well as numbering said logistic goods based on the express stations to which said logistic goods belong;
- following the instructions of the cloud platform, the stacking by the distribution center of the logistic goods that together belong to the same express station; and
- computing the transport paths by means of the cloud platform;
- loading, by the distribution center, of the logistic goods on the respective transport vehicles in accordance with said transport paths, and
- delivery of the goods by the transport vehicles, in accord with the transport paths; wherein said cloud platform assigns the transport vehicles and the transport paths in a smart manner, according to the information on the logistic goods and the information on the address of the express stations, thereby increasing the delivery efficiency of logistic goods and reducing delivery costs of logistic goods.
6. An intelligent goods delivery method for logistics optimization, according to claim 5, characterized in that said logistic goods are classified/ sorted and numbered according to the courier station to which they belong, according to the number of the courier station.
7. An intelligent goods delivery method for logistics optimization, according to anyone of the preceding claims 5 or 6, characterized in that said cloud platform computes the transport itinerary of each vehicle based on the address of the courier station that corresponds to the logistic goods delivered by each vehicle, by generating a list of addresses based on the address of the courier station corresponding to the logistic goods.
8. An intelligent goods delivery method for logistics optimization, according to claim 7, characterized in that said cloud platform makes use of artificial intelligence systems for optimizing the transport routes.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IT102022000003884A IT202200003884A1 (en) | 2022-03-02 | 2022-03-02 | INTELLIGENT GOODS DELIVERY SYSTEM AND METHOD TO OPTIMIZE LOGISTICS |
| IT102022000003884 | 2022-03-02 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2023166410A1 true WO2023166410A1 (en) | 2023-09-07 |
Family
ID=81927634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/IB2023/051845 WO2023166410A1 (en) | 2022-03-02 | 2023-02-28 | Intelligent goods delivery system and method for logistics optimization |
Country Status (2)
| Country | Link |
|---|---|
| IT (1) | IT202200003884A1 (en) |
| WO (1) | WO2023166410A1 (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5677834A (en) * | 1995-01-26 | 1997-10-14 | Mooneyham; Martin | Method and apparatus for computer assisted sorting of parcels |
| US20200238339A1 (en) * | 2019-01-25 | 2020-07-30 | Walmart Apollo, Llc | Conveyor systems and methods for sorting merchandise using interchangeable and assignable sortation modules |
| US20210245956A1 (en) * | 2020-02-10 | 2021-08-12 | Staples, Inc. | System-Directed Robotic Cart Picking |
| US20210261331A1 (en) * | 2020-02-25 | 2021-08-26 | Crown Equipment Corporation | Materials handling vehicle and goods storage and retrieval system comprising mobile storage carts, transporters, and materials handling vehicles |
-
2022
- 2022-03-02 IT IT102022000003884A patent/IT202200003884A1/en unknown
-
2023
- 2023-02-28 WO PCT/IB2023/051845 patent/WO2023166410A1/en unknown
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5677834A (en) * | 1995-01-26 | 1997-10-14 | Mooneyham; Martin | Method and apparatus for computer assisted sorting of parcels |
| US20200238339A1 (en) * | 2019-01-25 | 2020-07-30 | Walmart Apollo, Llc | Conveyor systems and methods for sorting merchandise using interchangeable and assignable sortation modules |
| US20210245956A1 (en) * | 2020-02-10 | 2021-08-12 | Staples, Inc. | System-Directed Robotic Cart Picking |
| US20210261331A1 (en) * | 2020-02-25 | 2021-08-26 | Crown Equipment Corporation | Materials handling vehicle and goods storage and retrieval system comprising mobile storage carts, transporters, and materials handling vehicles |
Also Published As
| Publication number | Publication date |
|---|---|
| IT202200003884A1 (en) | 2023-09-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108764783B (en) | Goods searching person management method for E-commerce automatic warehousing and distribution | |
| EP1818285B1 (en) | Automatic warehouse | |
| US6571213B1 (en) | Router utility for a parcel shipping system | |
| US20060106742A1 (en) | System and method for weighing and tracking freight | |
| CN108022064A (en) | A kind of logistics outbound review packing method and system | |
| MXPA04011397A (en) | Systems and methods for package sortation and delivery using radio frequency identification technology. | |
| MX2007012768A (en) | Next generation visibility package tracking. | |
| CN104751310A (en) | Novel method for transporting and delivering goods through mobile phone APP | |
| CN112766857B (en) | Intelligent warehouse management platform, system and method | |
| KR20150089793A (en) | method of processing pick and pass framework in warehouse management system | |
| Gotthardt et al. | Digitalized milk-run system for a learning factory assembly line | |
| Zsifkovits et al. | State-of-the-Art Analysis of the Usage and Potential of Automation in Logistics | |
| US20240116080A1 (en) | Integrated on-demand placarding | |
| Lumsden et al. | Smart freight to enhance control of supply chains | |
| Dudziak et al. | Flow of goods in the warehouse management systems-problem analysis | |
| Stephan et al. | Applying digital product memories in industrial production | |
| WO2023166410A1 (en) | Intelligent goods delivery system and method for logistics optimization | |
| CN114819804A (en) | Product supply chain optimization method and system | |
| García et al. | Auto-ID in materials handling | |
| US8463426B1 (en) | Computerized bulk parts control system and method | |
| Kawęcki et al. | Pick performance system as an IT support for order completing–A case study | |
| TWI811906B (en) | Information preservation system and method for preserving information in distribution center | |
| CN210534846U (en) | Warehouse management shipment system based on Internet of things | |
| KR20200020527A (en) | Dynamic picking based ordered products packaging system and method | |
| US11878325B1 (en) | Logical relocation of sort destinations |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 23710932 Country of ref document: EP Kind code of ref document: A1 |