International Business Machines Corporation

Wayfair LLC

Ding Ding Lin

Arun Hampapur

Bo Zhang

Xuan Liu

Ajay Ashok Deshpande

Yingjie Li

Dahai Xing

Changrui Ren

Yong Qing Xue

Saurabh Gupta

Ali Koc

Brian Leo Quanz

Christopher Scott Milite

Chek Keong Tan

Xiao Mei Zheng

Pradyumnha Gopalkrishna Kowlani

Alan Jonathan King

Xiaobo Zheng

Steve Igrejas

Vadiraja S Ramamurthy

Michael Yesudas

Sachin Sethiya

Sanjay E Cheeran

A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Dot-matrix product information encoding for food traceability

A predictive engine on a computer environment comprising a shared pool of configurable computing resources is executed to perform a predictive analysis on data pipelined into the computer environment, the data received from a plurality of sources and in a plurality of different formats, the predictive engine generating a network level cost information based on the predictive analysis on a dynamic and continuous basis. Asynchronous communication comprising the network level cost information from the predictive engine is received and a set of candidate nodes for order fulfillment is generated based on the network level cost information and a defined distance between the set of candidate nodes and a target destination. An optimization engine on the computer environment is invoked that filters the set of candidate nodes. A number of fulfillment nodes that meet one or more of a constraint and preconfigured rule is output.

Order sourcing with asynchronous communication and using optimization for large sourcing networks

Examples of techniques for generating an inter-store inventory transfer are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include defining a subset of stores of a plurality of stores to fulfill inter-store inventory transfer request for a product category of a plurality of product categories. The method may further include, responsive to determining that an order for a product of the product category cannot be fulfilled by one of the stores of the subset of stores of the plurality of stores, determining, by a processing device, an alternate store of the subset of stores to fulfill the order.

Inter-store inventory transfer

A method, system and computer program product for managing an order in an Omni-channel order fulfillment system is disclosed. A stock-keeping unit (SKU) node level cost is predicted for a plurality of SKUs. The order is received containing one or more SKUs. A candidate list of fulfillment nodes is determined for fulfilling each of the one or more SKUs in the order using the predicted SKU node level cost and a fulfillment node-destination shipping distance. One or more fulfillment nodes are selected from the candidate list, and the order is fulfilled using the selected one or more fulfillment nodes.

Two phase predictive approach for supply network optimization

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Beijing, China

Ding Ding Lin