New retail pattern to empower supply chain network
  • Average demand forecasting accuracy improves
    10%
  • Average management efficiency improves
    60%
  • Average inventory turnover days reduces
    20%
  • Average inventory capital occupation reduces
    10%
  • Average in-stock rate increases
    5%
  • Average overall revenue / profit performance improves
    10%

Application scenarios in the retail industry

  • Accurate demand forecasting:
    driven by AI

    Combine internal and external data, time series and machine learning algorithm to help enterprises make accurate prediction

    more
  • Auto replenishment plan:
    covering all product categories

    Customize the optimal replenishment strategy for each category to achieve automatic replenishment

    more
  • Real time dynamic pricing:
    maximizing revenue

    Intelligent price management to build a community of shared future for the retail industry and consumers

    more
  • Intelligent precision marketing:
    optimizing input and output

    Precise cost allocation + flexible product portfolios to win in complex scenarios

    more
Business logic highlights
The combination of massive data and intelligent algorithms makes profound changes possible in the supply chain of the retail industry. We provide a whole chain of forecast, replenishment, inventory, pricing, marketing and sales to provide an executable, quantifiable and interpretable solution.

Optimizing through data+algorithm to provide accurate, efficient and stable smart retail solutions to achieve:

Higher demand forecasting accuracy

Faster replenishment response

Less storage-related operational cost

Less inventory capital occupation

Shorter response time to customers

Stronger overall revenue / profit performance

Our Customers
A Chinese flagship e-commerce platform
Dynamic pricing

We provide salespersons with an automatic pricing system according to different product positionings and business goals, solving common problems in traditional pricing methods. (Problem 1: price adjustments rely on labor; Problem 2: lack of pricing for long-tail products), to significantly improve sales, profits, and efficiency of corporate price management.

An international FMCG giant
Promotion optimization project

We establish a comprehensive promotion management plan, considering different promotion mechanisms, product correlation factors and traditional business logic through the analysis of the company’s historical promotion data on the e-commerce platform. Promotion cost-benefit ratio and sales have been significantly improved.

A large international beer brand
Offline retail price optimization

We give optimal price recommendations with pricing logics and pricing targets of different regions/ channels, considering detailed consumer sensitivity and regional environmental information. This is the first retail price optimization model established and adopted by this beer company in China.

A cosmetics brand
Demand forecast

Integrate sales and market data of the e-commerce platform; consider various factors such as promotion intensity, advertising intensity, holidays, etc; provide dynamic weekly sales forecast of more than 100 SKUs on the flagship e-commerce platform as a reference for inventory optimization; achieve a significant improvement in prediction accuracy of star products as well as regular products.

A retail giant
Store-Level automatic replenishment

Achieve automatic replenishment of all categories of merchandise by:
1、finding correlations between raw material consumption and corresponding merchandise sales through daily demand forecasting
2、external factors such as surrounding events and weather
Greatly reduces the time required for store managers to place daily replenishment orders; improves in-stock rate through precise replenishment, compared to results under prior methods based on personal experience.

A flagship e-commerce company
Multi-level warehouse allocation and
replenishment optimization

Design an integrated strategy of replenishment, allocation, and distribution under multi-level warehousing system; optimize the replenishment method of conventional products and long-tail products in RDCs; establish product selection and allocation strategies in FDCs; achieve a more flexible and agile inventory network which significantly improves order fulfillment rate, reduces turnover days and inventory costs, and allows automatic replenishment.

  • 400-680-5680

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