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Digital Planet
Digital Planet
May 5, 2026 · Industry Insights

How Dongpeng Energy Drink and Nongfu Spring Cut 30% Channel Costs with One‑Item‑One‑Code – Are You Still Ordering by Inventory?

The article analyzes how traditional inventory‑driven replenishment creates a black‑box in fast‑moving consumer goods channels, leading to stockouts, overstock and bull‑whip effects, and shows how a one‑item‑one‑code system provides real‑time sales data to shift to a sales‑driven model, reducing costs and improving efficiency.

Channel ManagementDigital TransformationFMCG
0 likes · 13 min read
How Dongpeng Energy Drink and Nongfu Spring Cut 30% Channel Costs with One‑Item‑One‑Code – Are You Still Ordering by Inventory?
Dual-Track Product Journal
Dual-Track Product Journal
Jul 22, 2025 · Operations

How Intelligent Shelving Strategies Boost Warehouse Efficiency – A Product Manager’s Guide

This article explains how dynamic, data‑driven shelving strategies in a Warehouse Management System can dramatically improve space utilization, reduce picker travel, and streamline inventory handling by outlining key objectives, common tactics, detailed workflow steps, constraint checks, exception handling, and result processing.

LogisticsOperationsWMS
0 likes · 10 min read
How Intelligent Shelving Strategies Boost Warehouse Efficiency – A Product Manager’s Guide
Dual-Track Product Journal
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
Qiming AI - Digital Management Talk
Qiming AI - Digital Management Talk
May 23, 2025 · Operations

Boost Warehouse Efficiency: 6 Proven Strategies from a 7‑Year Expert

This article explains what warehouse management really means, outlines its key goals such as safety, efficiency, supply‑chain coordination and data visualization, and presents six practical methods—including clear objectives, ABC classification, barcode usage, FIFO, space optimization, and digital automation—to dramatically improve warehouse performance.

Digital TransformationLogisticsOperations
0 likes · 9 min read
Boost Warehouse Efficiency: 6 Proven Strategies from a 7‑Year Expert
DataFunSummit
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.

Supply Chaine‑commerceinventory optimization
0 likes · 21 min read
Data‑Driven Inventory Selection and Allocation Algorithms for JD Retail Supply Chain
JD Tech Talk
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.

Operations Researchinventory optimizationmachine learning
0 likes · 21 min read
Data‑Driven Inventory Selection and Allocation Algorithms for JD Retail Supply Chain
JD Cloud Developers
JD Cloud Developers
Dec 30, 2024 · Operations

How JD’s AI‑Driven Inventory Selection & Allocation Earned the Wagner Prize

JD Retail’s supply‑chain technology team leveraged data‑driven inventory selection and allocation algorithms—combining machine‑learning forecasting, heuristic heuristics, and an end‑to‑end optimization framework—to boost fulfillment rates, cut costs, and secure the prestigious Daniel H. Wagner Prize for operations research excellence.

Operations ResearchSupply Chaine‑commerce
0 likes · 21 min read
How JD’s AI‑Driven Inventory Selection & Allocation Earned the Wagner Prize
JD Tech
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.

Operations ResearchSupply Chaininventory optimization
0 likes · 20 min read
Joint Inventory Selection and Allocation Algorithms for JD Retail Supply Chain
JD Retail Technology
JD Retail Technology
Dec 27, 2024 · Industry Insights

How JD’s Data‑Driven Inventory Selection Boosted Fulfillment Efficiency

This article details JD Retail's award‑winning, data‑driven inventory selection and allocation algorithms, explains their mathematical models, heuristic and end‑to‑end learning solutions, presents experimental results on real‑world data, and quantifies the operational gains achieved after deployment.

LogisticsOperations ResearchSupply Chain
0 likes · 21 min read
How JD’s Data‑Driven Inventory Selection Boosted Fulfillment Efficiency
Alimama Tech
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.

Graph Neural NetworkNeural Networksend-to-end learning
0 likes · 16 min read
End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising
DataFunSummit
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 HealthOperations ResearchSupply Chain
0 likes · 23 min read
Intelligent Replenishment and Allocation Algorithms in Alibaba Health's Pharmaceutical E‑commerce Supply Chain
DataFunTalk
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.

Demand ForecastingFresh Food ReplenishmentSupply Chain
0 likes · 11 min read
Supply Chain Algorithms and Fresh Food Automatic Replenishment System at Hema
DataFunSummit
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.

Recurrent Neural NetworkSupply ChainTensorFlow
0 likes · 13 min read
Large-Scale Supply Chain Inventory Optimization Using Recurrent Neural Networks
JD Retail Technology
JD Retail Technology
Jun 15, 2020 · Industry Insights

How JD.com’s Smart Supply Chain Powered the 618 Mega‑Sale: Strategies & Algorithms

The article details JD.com’s Y Business Management Department’s data‑driven, algorithmic approaches to inventory forecasting, replenishment, allocation, and fulfillment during the 618 promotion, describing how big‑data predictions, dynamic programming, ADMM column generation, and cross‑department collaboration optimized costs, reduced stockouts, and enhanced customer experience amid pandemic challenges.

Algorithmic ForecastingBig DataE‑commerce Operations
0 likes · 21 min read
How JD.com’s Smart Supply Chain Powered the 618 Mega‑Sale: Strategies & Algorithms
JD Retail Technology
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 ForecastingMicroservices
0 likes · 21 min read
Smart Supply Chain Operations for JD.com 11.11 Promotion: Integrated Planning, AI‑Driven Forecasting, and Real‑Time Optimization
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 19, 2018 · Operations

How Alibaba’s AI‑Powered Supply Chain Handles Double‑11’s Massive Surge

This article explains how Alibaba’s supply‑chain algorithms and data‑driven operations enable rapid order processing, accurate demand forecasting, dynamic inventory allocation, and efficient warehouse fulfillment during the massive traffic of Double 11, highlighting the challenges faced and the solutions implemented.

AlibabaDemand ForecastingOperations
0 likes · 11 min read
How Alibaba’s AI‑Powered Supply Chain Handles Double‑11’s Massive Surge
Suning Technology
Suning Technology
Jun 9, 2017 · Big Data

How Suning’s AI‑Powered Smart Replenishment Turns Retail from B2C to C2B

Suning’s smart replenishment system showcased at CES Asia 2017 leverages big‑data analytics and machine‑learning models—linear regression, random forest, and XGBoost—to predict sales, optimize inventory across multiple warehouses, and shift retail from traditional B2C to a data‑driven C2B approach.

Big Datainventory optimizationmachine learning
0 likes · 5 min read
How Suning’s AI‑Powered Smart Replenishment Turns Retail from B2C to C2B
Hulu Beijing
Hulu Beijing
Dec 22, 2016 · Big Data

How Hulu Uses Big Data and Algorithms to Supercharge Its Ad System

This article explains how Hulu’s advertising platform leverages big‑data pipelines, time‑series forecasting, bipartite‑graph optimization, linear‑model targeting, and real‑time allocation to improve sales, delivery, reporting, and planning of guaranteed‑delivery brand ads.

Advertisingalgorithminventory optimization
0 likes · 11 min read
How Hulu Uses Big Data and Algorithms to Supercharge Its Ad System