Alibaba DChain for Supply Chain Planning

Build and manage an agile, intelligent, and cost-efficient supply chain

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Overview

Overview

Alibaba DChain is a digital supply chain planning solution driven by data intelligence and artificial intelligence (AI) technology. This solution provides end-to-end real-time monitoring for your supply chain, and helps you quickly diagnose and optimize your inventory, generate an accurate forecast of the future demand with deep learning models trained on your business data, and avoid stockouts and supply chain disruption by performing inventory simulation based on business objectives and constraints, so you can plan and streamline your supply chain proactively, reduce sales losses, and improve capital efficiency.

Why Alibaba Cloud

  • Global Top Supply Chain

    Build and maintain your supply chain with competitive performance in return on total assets, inventory turnover, and revenue growth with Alibaba Group that was featured in the Top 10 in The Gartner Supply Chain Top 25 for 2021, and Cainiao, the logistics arm of Alibaba Group

  • Out-of-the-Box Solution

    Deploy this solution in virtual private clouds (VPCs) or as a SaaS solution without replacing or changing your existing technology infrastructure for better time efficiency and total cost of ownership (TCO)

  • Timely Supply Chain Synchronization

    Synchronize data across the entire supply chain in seconds to accelerate upstream and downstream response, facilitate full-link collaboration, and prevent problems such as stockout and supply chain disruption

  • Accurate Demand Forecast

    Improve forecast accuracy by over 20% with a time series algorithm. It's fine-tuned to your business requirements and deep learning models based on industry best practice and your supply chain data.

Learn more about Alibaba DChain for Supply Chain Planning

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Case Study of DChain for Supply Chain Planning

A leading brand of small home appliances faced a growing demand for data-driven operations, especially in the digital transformation of the supply chain, and leveraged Alibaba DChain to help manage these challenges.

  • 1 Day

    Sales Forecast Cycle

    By inventory diagnosis and optimization simulation, the customer was able to quickly locate products and take actions based on the inventory index warning with efficient decision-making and collaboration. The forecast cycle was reduced from 10 days to one day.

  • Up to 30%

    Forecast Accuracy Increase

    The customer improved forecast accuracy with deep learning forecasting algorithms and completed marketing optimization by enhancing delivery explainability with a whitebox feature for accuracy attribution. The forecast accuracy was increased by 10% to 30%.

  • 2%

    On-Shelf Rate Increase

    This solution integrated optimization constraints and inventory simulation algorithms to help the customer break down forecast results and transform them into executable and effective replenishment recommendations, increasing the on-shelf rate by 2%.

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How Alibaba DChain Works

Alibaba DChain provides end-to-end monitoring and management of your supply chain with Control Tower, examines inventory health for optimization, performs accurate demand forecasts, and generates replenishment suggestions based on forecast results. All these help you build and manage an agile, intelligent, and cost-efficient supply chain.

Control Tower
Inventory Health
Demand Forecast
Intelligent Replenishment

Control Tower - Dashboard

Control tower provides end-to-end real-time data visualization on the business content, operation links, and operation indexes of your supply chain and analyzes these key factors in different steps from stock preparation and production to outbound performance, to help you gain comprehensive insight into the entire supply chain.

Control Towner - Risk Prediction

Control tower performs data mining on operation links and operation indexes to proactively discover potential risks besides system-defined failures and real-time alarms, to avoid demand/supply fluctuations and risks of failure to achieve operation indexes.

Control Tower - Intelligent Troubleshooting

Control tower leverages AI technology and machine learning algorithms to provide intelligent troubleshooting services for abnormal indexes, including problem association, anomaly release, multi-indicator combination, historical data comparison, and disassembly and attribution within the organization for abnormal indicators.

Control Tower - Decision Recommendation

Control tower provides recommended optimization strategies for network, transportation, supplementary adjustment, and clearance based on index performance and risk prediction and analysis, to help you adjust automated supply chain operations for optimal results.

Inventory Health: Dashboard

Alibaba DChain diagnoses your inventory based on key factors such as the supply chain health index, capital backlog, and out-of-stock loss. It performs optimization simulation to analyze the root cause of the problem so you can quickly identify the optimization objectives and choose optimization strategies to balance your stock level and eliminate stagnation in your supply chain.

Demand Forecast: Dashboard

Alibaba DChain simulates and analyzes market demand, and pre-processes the analysis data based on data intelligence and time-series forecasting algorithms such as historical time-series smoothing. It leverages machine learning models to train these algorithms based on the processed data. The algorithms provide trend analysis for demand forecast.

Demand Forecast - Trend Analysis

The machine learning models are fine-tuned with parameter optimization and cross validation, to transform market demand analysis into accurate forecasts of the future demand by week, month, or year, so you can optimize core operational processes such as logistics, production planning, and inventory replenishment, to streamline the entire supply chain.

Demand Forecast - Trend Graph

The detailed analysis and trend graph reveal hidden patterns in historical demand in customizable time periods and help you discover issues proactively to prevent supply chain disruption, and adjust replenish plans and sales/marketing strategies accordingly.

Intelligent Replenishment: Dashboard

Alibaba DChain combines omnichannel forecasting results with business optimization objectives such as inventory turnover days and out-of-stock rate, and performs inventory simulation based on key factors such as safety stock and other parameters related to buying period (BP) and vendor lead time (VLT), to provide replenishment recommendation.

Intelligent Replenishment - Parameter Information

You can view detailed information of key parameters such as purchase lead time and minimal order quantity (MOQ), and refer to parameter recommendations such as safety inventory to improve decision-making in complex scenarios such as large-scale promotions and multi-echelon inventory networks, reducing sales losses while improving capital efficiency.

_Alibaba Cloud_

How Alibaba DChain Works

Alibaba DChain provides end-to-end monitoring and management of your supply chain with Control Tower, examines inventory health for optimization, performs accurate demand forecasts, and generates replenishment suggestions based on forecast results. All these help you build and manage an agile, intelligent, and cost-efficient supply chain.

Control Tower - Dashboard

Control tower provides end-to-end real-time data visualization on the business content, operation links, and operation indexes of your supply chain and analyzes these key factors in different steps from stock preparation and production to outbound performance, to help you gain comprehensive insight into the entire supply chain.

Control Towner - Risk Prediction

Control tower performs data mining on operation links and operation indexes to proactively discover potential risks besides system-defined failures and real-time alarms, to avoid demand/supply fluctuations and risks of failure to achieve operation indexes.

Control Tower - Intelligent Troubleshooting

Control tower leverages AI technology and machine learning algorithms to provide intelligent troubleshooting services for abnormal indexes, including problem association, anomaly release, multi-indicator combination, historical data comparison, and disassembly and attribution within the organization for abnormal indicators.

Control Tower - Decision Recommendation

Control tower provides recommended optimization strategies for network, transportation, supplementary adjustment, and clearance based on index performance and risk prediction and analysis, to help you adjust automated supply chain operations for optimal results.

Inventory Health: Dashboard

Alibaba DChain diagnoses your inventory based on key factors such as the supply chain health index, capital backlog, and out-of-stock loss. It performs optimization simulation to analyze the root cause of the problem so you can quickly identify the optimization objectives and choose optimization strategies to balance your stock level and eliminate stagnation in your supply chain.

Demand Forecast: Dashboard

Alibaba DChain simulates and analyzes market demand, and pre-processes the analysis data based on data intelligence and time-series forecasting algorithms such as historical time-series smoothing. It leverages machine learning models to train these algorithms based on the processed data. The algorithms provide trend analysis for demand forecast.

Demand Forecast - Trend Analysis

The machine learning models are fine-tuned with parameter optimization and cross validation, to transform market demand analysis into accurate forecasts of the future demand by week, month, or year, so you can optimize core operational processes such as logistics, production planning, and inventory replenishment, to streamline the entire supply chain.

Demand Forecast - Trend Graph

The detailed analysis and trend graph reveal hidden patterns in historical demand in customizable time periods and help you discover issues proactively to prevent supply chain disruption, and adjust replenish plans and sales/marketing strategies accordingly.

Intelligent Replenishment: Dashboard

Alibaba DChain combines omnichannel forecasting results with business optimization objectives such as inventory turnover days and out-of-stock rate, and performs inventory simulation based on key factors such as safety stock and other parameters related to buying period (BP) and vendor lead time (VLT), to provide replenishment recommendation.

Intelligent Replenishment - Parameter Information

You can view detailed information of key parameters such as purchase lead time and minimal order quantity (MOQ), and refer to parameter recommendations such as safety inventory to improve decision-making in complex scenarios such as large-scale promotions and multi-echelon inventory networks, reducing sales losses while improving capital efficiency.

Learn more about Alibaba DChain for Supply Chain Planning

Contact Sales

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