inventory optimization

Dual-Track Product Journal

Jun 5, 2025 · Product Management

Why Order Splitting Can Make or Break Your E‑Commerce Business

This article explains the essential purpose of order splitting in e‑commerce, outlines seven common splitting scenarios—from merchant and multi‑warehouse splits to logistics, inventory, and after‑sale cases—shows their impact on cost, fulfillment efficiency, and customer experience, and presents a three‑module system design to implement robust splitting logic.

customer experiencee‑commerce logisticsinventory optimization

0 likes · 8 min read

Why Order Splitting Can Make or Break Your E‑Commerce Business

DataFunSummit

Jan 2, 2025 · Operations

Data‑Driven Inventory Selection and Allocation Algorithms for JD Retail Supply Chain

This article presents JD Retail's award‑winning, data‑driven inventory selection and allocation framework that combines machine‑learning‑based demand forecasting, heuristic selection algorithms, and an end‑to‑end multi‑task learning model to improve fulfillment rates, reduce stock‑out loss, and lower inventory transfer costs in a large‑scale e‑commerce supply chain.

e-commerceinventory optimizationmachine learning

0 likes · 21 min read

Data‑Driven Inventory Selection and Allocation Algorithms for JD Retail Supply Chain

JD Tech Talk

Dec 30, 2024 · Operations

Data‑Driven Inventory Selection and Allocation Algorithms for JD Retail Supply Chain

JD Retail’s supply‑chain team won the Daniel H. Wagner Prize by developing data‑driven inventory selection and allocation algorithms that optimize two‑tier RDC/FDC networks, improve order fulfillment rates, reduce stock‑out losses and costs, and have been deployed at scale across millions of orders.

inventory optimizationmachine learningoperations research

0 likes · 21 min read

JD Tech

Dec 27, 2024 · Operations

Joint Inventory Selection and Allocation Algorithms for JD Retail Supply Chain

JD's retail supply chain team presents a data‑driven framework combining inventory selection and allocation algorithms—ML‑Top‑K, Reverse‑Exclude, and an end‑to‑end multi‑task learning model—that improve local order fulfillment, reduce stockout loss and allocation costs, and have been deployed across its RDC/FDC network.

e-commerceinventory optimizationmachine learning

0 likes · 20 min read

Joint Inventory Selection and Allocation Algorithms for JD Retail Supply Chain

Model Perspective

Sep 7, 2023 · Operations

How to Optimize Vegetable Restocking and Pricing with Data‑Driven Models

This article presents a data‑driven approach to predict weekly vegetable sales, determine optimal restocking quantities, and set cost‑plus pricing strategies using time‑series analysis, correlation mining, and profit maximization models for supermarkets.

data analysisinventory optimizationprice modeling

0 likes · 15 min read

How to Optimize Vegetable Restocking and Pricing with Data‑Driven Models

Alimama Tech

Aug 9, 2023 · Artificial Intelligence

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising

The paper introduces Neural Lagrangian Selling, an end‑to‑end framework that jointly learns traffic forecasting and contract inventory allocation by embedding a differentiable Lagrangian solver and a graph convolutional network into a neural model, achieving higher prediction accuracy, fulfillment rates, utilization, and revenue than two‑stage and other methods.

advertisingend-to-end learninggraph neural network

0 likes · 16 min read

End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising

DataFunSummit

Mar 7, 2023 · Operations

Intelligent Replenishment and Allocation Algorithms in Alibaba Health's Pharmaceutical E‑commerce Supply Chain

The article presents a comprehensive overview of Alibaba Health's supply‑chain algorithms for intelligent replenishment and allocation, detailing the overall architecture, model evolution from safety‑stock to reinforcement learning, simulation validation, multi‑objective optimization, and practical Q&A on deployment.

Alibaba Healthallocationinventory optimization

0 likes · 23 min read

Intelligent Replenishment and Allocation Algorithms in Alibaba Health's Pharmaceutical E‑commerce Supply Chain

DataFunTalk

Feb 13, 2023 · Operations

Supply Chain Algorithms and Fresh Food Automatic Replenishment System at Hema

This article presents a comprehensive overview of Hema's supply chain, detailing its business model, logistics‑inventory trade‑offs, algorithmic positioning, and the design, modules, and achievements of its fresh‑food automatic replenishment system, which leverages demand forecasting, graph neural networks, and dynamic inventory control.

Artificial IntelligenceFresh Food ReplenishmentGraph Neural Networks

0 likes · 11 min read

Supply Chain Algorithms and Fresh Food Automatic Replenishment System at Hema

DataFunSummit

Nov 19, 2022 · Operations

Large-Scale Supply Chain Inventory Optimization Using Recurrent Neural Networks

This article presents a novel approach that leverages recurrent neural network techniques and TensorFlow to dramatically accelerate simulation and optimization of massive supply‑chain networks, enabling efficient inventory positioning and safety‑stock decisions for networks with hundreds of thousands of items.

TensorFlowinventory optimizationlarge-scale computing

0 likes · 13 min read

Large-Scale Supply Chain Inventory Optimization Using Recurrent Neural Networks

JD Retail Technology

Nov 8, 2019 · Operations

Smart Supply Chain Operations for JD.com 11.11 Promotion: Integrated Planning, AI‑Driven Forecasting, and Real‑Time Optimization

JD.com's Smart Supply Chain Y Business Management team collaborated across divisions to implement AI‑driven demand forecasting, automated replenishment, micro‑service architecture, and real‑time monitoring, enabling precise inventory control, cost reduction, and seamless 11.11 promotion fulfillment through integrated planning, pricing, and fulfillment innovations.

AIdemand forecastinge‑commerce

0 likes · 21 min read

Smart Supply Chain Operations for JD.com 11.11 Promotion: Integrated Planning, AI‑Driven Forecasting, and Real‑Time Optimization