Automate Warehouse Operations by Leveraging AI-based Robots: counting and classifying items, picking and moving products, upload/unload boxes, navigation, packing and unpacking, assigning products to different bags (in case of grocery), package damage detection, package label reading, and more. Use predictive maintenance to optimize robots’ inspection
Understand the Use-case under 5 minutes
Video (6 minutes)
How Ocado are automating their warehouse and supply chain operations using Robots. They are able to fulfill a 50-item shopping cart in less than 10 minutes
WatchArticle (6 minutes)
Different examples for companies adopting AI-powered robots in their warehouses, the nature of tasks these robots can do, and the economic impact they bring to the table
ReadGet to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Article (17 minutes)
Great article summarizing different aspects related to bringing automation to your warehouse: types, when to consider, best practices, and trends
VisitVideo (11 minutes)
How AI can optimize every Promotion, by predicting all the effects it would have on individual customer behavior - taking potential cannibalization into consideration
WatchArticle (11 minutes)
Nice brief about the history of Robots in Supply Chain, Major Types today, Benefits of using them, and how could they improve your Warehouse Performance
VisitCase studies, Organizational Aspects, Return on Investment examples
White Paper (20 minutes)
Extensive Research by Accenture in partnership with companies who’ve implemented warehouse automation, & automation solution providers. Insights on common challenges and best implementation practices
VisitWhite Paper (18 minutes)
An Outlook on the global warehouse automation market, what’s working vs not, major trends, key players, and emerging technologies
ReadMore details on the technical aspects of the use-case
Article (16 minutes)
Examples of using Reinforcement Learning (optimizing actions based on long term rewards) in Warehouses and some of its limitations (e.g. curse of dimensionality)
VisitVideo (18 minutes)
Solving Warehouse Operations problems in Zalando’s fashion warehouses - like Picker Routing and Order Batching - using Deep Learning instead of heuristics
VisitVideo (17 minutes)
How Reinforcement Learning can be used to organize the routing of the Automated Guided Vehicle that brings the shelves to the operators to ensure optimal productivity.
WatchTechnical resources that will help you implement the use-case (notebooks, tutorials..)
Article + Github Repo
The multi-robot warehouse (RWARE) environment simulates a warehouse with robots moving and delivering requested goods. Includes link to a Github Repo
VisitArticle (6 minutes)
Path Optimization based on priority and rewards for single agent and the application of Q-Learning for a Warehouse Agent
VisitData Sets you can use to build Demos, POCs, or test Algorithms
452 scenes with 2087 unique objects poses seen from multiple viewpoints used to objects segmentation and 6D poses
136,575 RGB-D images of single objects from Amazon Pick Challenge in the shelf and tote
15k annotated short object centric video clips with pose annotations supplemented with over 4M annotated images including categories like bikes, books, bottles, cameras, etc.
Off-the-Shelf Products using AI for Automating Warehouse Operations
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