From demand forecasting to replenishment plans

Supermarket

Professional
Retail

Fashion

FMCG

Manufacturing

More......

SKU of different categories in different stores are facing
How many
can it sale?

Product categorization and demand forecasting

How many
to replenish?

Choose a suitable inventory strategy for each SKU and set a reasonable safety stock level

When
to replenish?

Find the replenishment frequency that optimizes inventory costs and improves order fulfillment rate

Inventory management is increasingly complex because…

  • Increasingly diversified marketing methods increase the volatility and unpredictability of sales

  • Due to short shelf life of fresh food goods, excessive replenishment leads to waste, while insufficient replenishment harms sales

  • Quick store expansion requires rapid improvement in inventory management capabilities

  • A large number of SKUs makes it impossible for manual check

  • Work experience of store planners differ greatly, making it difficult to standardize and digitize

  • There is need for quick identification and analysis of different data from online and offline multi-channel retail

Product Functions of Intelligent Inventory Management System

Strategic optimization

Tactical optimization

Planning optimization

Inventory Network Design
  • Inventory layout optimization
  • Inventory Network Design
Inventory strategy design
for safety stock optimization
  • Safety Stock Optimization
  • Inventory Strategy Design
  • Suppliers Management
Demand forecasting
and replenishment plan
  • Demand forecasting
  • Replenishment plan
  • S&OP
Demand forecasting
Combined with time series and AI algorithm, we provide accurate demand forecast for a variety of product categories. We also take special scenarios into account such as new product launches and sales promotion to support replenishment and inventory optimization.
Replenishment plan
We provide replenishment suggestions for different product categories such as regular products, long-tail products, fresh food and promotional products, supporting different scenarios such as inventory transfer, inventory split, and distribution to reduce inventory level while ensuring order fulfillment.
Event management
By maintaining the promotion calendar, our system allows systematic data management of promotions. In addition, our system can analyze historical sales data and note other important events.
Fresh food replenishment
The optimization algorithm is used to calculate an optimal replenishment point and replenishment quantity, reducing waste caused by excessive replenishment as well as sales loss caused by insufficient replenishment.
Service level optimization
Balance service level, inventory cost and transportation cost etc. through sensitivity analysis, to reach the highest service level possible and find the best business model under the specified inventory demand.
AI-driven accurate forecast

Accurate multi-dimensional replenishment plan is realized through the demand forecasting technology based on artificial intelligence, with company’s internal and external data as input.

Automatic replenishment
of all product categories

Recommended replenishment list is automatically generated to support BOM, inventory warning, replenishment strategy management and other functions, for both purposes of monitor and deployment.

Inventory simulation in
business scenarios

Simulation compares different replenishment rules and strategies based on actual orders that have occurred to test inventory policy changes or key business rule changes.

Intelligent Inventory Management System,make your supply chain more agile and efficient.

Intelligent Inventory Management System, make your supply chain more agile and efficient.

Contact us
Our Customers

Auto repair/ replacement parts
demand forecast of an international
automobile brand

10%+

Average increase in forecasting accuracy

80%-90%

Forecasting accuracy of high-demand auto parts

Forecast monthly spare parts demand from distributors to guide spare parts replenishment plan in CDC; identify potential demand variation patterns; significantly improves prediction accuracy of high-frequency and high-demand SKUs; accelerates inventory turnover and reduces inventory capital usage.

MORE

FMCG brand e-commerce demand forecast

85%+

Monthly forecast accuracy of popular SKUs

75%+

Weekly forecast accuracy of popular SKUs

80%+

Monthly forecast accuracy of regular SKUs

65%+

Weekly forecast accuracy of regular SKUs

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.

MORE

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

20%

Reduction in Inventory days

5%

Increase in in-stock rate of key products

1%-5%

Increase in order fulfillment rate

10%

Reduction in iInventory value

Design an integrated strategy of replenishment, allocation, and distribution under multi-level warehousing system; optimize replenishment methods 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.

MORE

A retail giant store
automatic replenishment

5%

Increase in in-stock rate when waste rate remains unchanged

15 minutes

Store managers spend in completing replenishment order per day

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. considering external factors such as surrounding events and weather.
Greatly reduces 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.

MORE

Auto repair/ replacement parts
demand forecast of an international
automobile brand

10%+

Average increase in forecasting accuracy

80%-90%

Forecasting accuracy of high-demand auto parts

Forecast monthly spare parts demand from distributors to guide spare parts replenishment plan in CDC; identify potential demand variation patterns; significantly improves prediction accuracy of high-frequency and high-demand SKUs; accelerates inventory turnover and reduces inventory capital usage.

MORE

FMCG brand e-commerce demand forecast

85%+

Monthly forecast accuracy of popular SKUs

75%+

Weekly forecast accuracy of popular SKUs

80%+

Monthly forecast accuracy of regular SKUs

65%+

Weekly forecast accuracy of regular SKUs

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.

MORE

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

20%

Reduction in Inventory days

5%

Increase in in-stock rate of key products

1%-5%

Increase in order fulfillment rate

10%

Reduction in iInventory value

Design an integrated strategy of replenishment, allocation, and distribution under multi-level warehousing system; optimize replenishment methods 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.

MORE

A retail giant store
automatic replenishment

5%

Increase in in-stock rate when waste rate remains unchanged

15 minutes

Store managers spend in completing replenishment order per day

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. considering external factors such as surrounding events and weather.
Greatly reduces 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.

MORE
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