Sales & Demand Forecasting
Our forecasting engine is the beating heart of Shelf Planner.
Every day, the engine analyses thousands of transactions to recognize trends and patterns that our customers could never pick up.
The result is a true performance based inventory management that looks at actual potential and probability.
How does it work?
Shelf Planner is not like other inventory management systems.
Based on data ingested from your store daily and external data sets, Shelf Planner generates new probabilistic models for each unique SKU—for every store, every day. These models are translated into profit maximization models to create the perfect order.
The probabilistic models are fed by vector autoregressive multivariate time series models that use a massive array of data sets, along with machine learning based dependent models to catch every possible swing in the wild world of retail.
BENEFITS
30%
reduction in inventory.
85%
reduction in stock outs.
99%
on-shelf availability.
Get better visibility into your operations with Shelf Planner’s forecasting engine
Turn your data into accurate, automated, actionable business decisions.
Shelf Planner starts with your internal retail data and factors in external data from events like holidays or weather forecasts, optimizing your demand forecasts so you can continuously improve your demand planning.
FEATURES
Highlighted features of Shelf Planner’s forecasting engine.
Promotions are notoriously hard to forecast.
Shelf Planner improves accuracy by using pragmatic AI to include factors like timing, product and campaign type, marketing efforts, in-store displays, and pricing strategies in your automated calculations.
Optimize your events and campaigns
Reduce promotional inventory by 25%
Optimize New Product Introductions
Reduce product-level forecast errors by 15% with demand based forecasts
Get it right from the start.
Forecasting buying volumes for new product introductions is always tricky.
Shelf Planner's forecasting engine identifies the best reference product in your data based on attributes like price point or brand, helping you more accurately predict how new products will behave.
A world of insights in the palm of your hand.
Shelf Planner uses machine learning algorithms to analyze the impact of weather, local and globals trends and holidays on sales at an item/location level, then recommends updates to your sales forecasts for weather sensitive products.
Be better prepared for the ice cream run on that first beautiful summer day.
BENEFITS
Optimized Sales Forecasting
Generate optimized forecasts on the store, channel, item, day, or even intraday level using pragmatic AI to process large amounts of both internal and external data.
Optimized Sales Forecasting
Generate optimized forecasts on the store, channel, item, day, or even intraday level using pragmatic AI to process large amounts of both internal and external data.
Optimized Sales Forecasting
Generate optimized forecasts on the store, channel, item, day, or even intraday level using pragmatic AI to process large amounts of both internal and external data.
Optimized Sales Forecasting
Generate optimized forecasts on the store, channel, item, day, or even intraday level using pragmatic AI to process large amounts of both internal and external data.