Shelf Engine: Transforming Retail Order Management through Intelligent Forecasting and Automated Solutions

Shelf Engine uses intelligent forecasting and advanced machine learning models to simplify how retailers manage orders for perishable products. Instead of using traditional software systems, Shelf Engine focuses on producing actionable results, aiming to enhance sales and margins, while reducing waste and labor efforts. The platform's key components include automated ordering, creating accurate orders by considering profit maximization to reduce out-of-stocks and shrink, and forecasting, generating probabilistic models for each unique SKU for every store daily, based on an array of data sets.

Other
Software
Features
  • Intelligent Forecasting - Utilizes machine learning and proprietary predictive models to generate the most accurate orders for stores, considering local events, weather, and more.
  • Automated Ordering - Uses profit maximization models to automate the perfect orders that lead to higher sales volumes and minimize out-of-stocks that frustrate customers.
  • Unique SKU Modeling - Generates new probabilistic models for each unique SKU for every store daily, using vector autoregressive multivariate time series models and machine learning-based dependent models.
  • Simple Reporting - Weekly reports that display increased sales and gross profits in an easy-to-read format without any confusing dashboards or complicated spreadsheets.
  • Turnkey Solution - Offers a comprehensive service from historical data analysis to order management takeover, requiring no technical system integration or training from the customer's end.
Use Cases
Vertical Specifics
Business Tags
Marketing
Use Cases
Solution Info Link
Seller
Seller Name
Shelf Engine
Past project(s)
Client(s)
Country
USA
Specializes in
Seller Page
Shelf Engine: Transforming Retail Order Management through Intelligent Forecasting and Automated Solutions
Description

Shelf Engine uses intelligent forecasting and advanced machine learning models to simplify how retailers manage orders for perishable products. Instead of using traditional software systems, Shelf Engine focuses on producing actionable results, aiming to enhance sales and margins, while reducing waste and labor efforts. The platform's key components include automated ordering, creating accurate orders by considering profit maximization to reduce out-of-stocks and shrink, and forecasting, generating probabilistic models for each unique SKU for every store daily, based on an array of data sets.

Vertical Specifics
Business Tags
Marketing
Use Cases
AI Category
Other
Data Source
No items found.
Hardware / Software
Software
Solution Info Link
Features
  • Intelligent Forecasting - Utilizes machine learning and proprietary predictive models to generate the most accurate orders for stores, considering local events, weather, and more.
  • Automated Ordering - Uses profit maximization models to automate the perfect orders that lead to higher sales volumes and minimize out-of-stocks that frustrate customers.
  • Unique SKU Modeling - Generates new probabilistic models for each unique SKU for every store daily, using vector autoregressive multivariate time series models and machine learning-based dependent models.
  • Simple Reporting - Weekly reports that display increased sales and gross profits in an easy-to-read format without any confusing dashboards or complicated spreadsheets.
  • Turnkey Solution - Offers a comprehensive service from historical data analysis to order management takeover, requiring no technical system integration or training from the customer's end.
Use Cases
Seller
Seller Name
Shelf Engine
Past project(s)
Client(s)
Country
USA
Specializes in
Seller Page