On Shelf Availability
Reliable demand forecasts are an essential part of a retail business because, simply put, they reduce uncertainty.
With an accurate calculation of how many items you will sell at any given time, you can order, allocate, and replenish those items accordingly.
Beyond supply chain and inventory management, though, an accurate sales forecast can be used to optimize capacity management, workforce scheduling, planograms, and so much more.
In short, the demand forecast is the foundation from which you can drive a wide range of benefits across retail functions.
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.
reduction in inventory.
reduction in stock outs.
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.
No more min/max stock to determine your inventory.
With online catalogues with thousands of items, it’s not always practical to stock all items at all times. Shelf Planner continuously reviews and updates which items should be in stock, automating the process based on cost, lead time, demand forecasts, or even page views.
Ensure availability with best in class inventory planning
Reduce out-of-stock and improve availability
Reduce inventory across all your locations with next generation inventory management
Reduce locked working capital and inventory devaluation
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.
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