Pluto7 demand ML solution uses state of the art Machine Learning models to take full advantage of your data and give you the most accurate forecasts. Integrating seamlessly with your demand, supply, inventory, pricing, replenishment, promotion, and value chain
planning keeps your forecasts constantly up to date and your business always ready to
Pluto7 demand ML forecasting software makes your data work for you.
Demand ML is a combination of outstanding computational power, intelligent
algorithms, and machine learning allows for optimized demand forecasting that
automatically factors in the impact of all known external events, such as holidays,
seasons, trends and even weather forecasts, as well as planned changes in your
assortment, pricing, store-space allocation, stock policy and promotional activities.
Don’t just forecast demand, shape it
Demand doesn’t occur in a vacuum. External factors, like weather, have an impact and
your demand forecasting needs to take account of them, accurately. Yet, many demand changes are self-determined. By closing gaps in how you forecast and reflect the effects of your own actions, such as planned promotions in all other facets of your business
planning, you can significantly increase forecast accuracy and, even more importantly,
ensure your plans are executed coherently.
Highlighted features of Pluto7’s demand
BETTER PROMOTION FORECASTING WITH RICHER DATA
Promotions matter in retail, yet they are notoriously hard to forecast as so many things
can affect the results. Our demand forecasting software uses multi-variate regression
to analyze a wide range of factors, such as timing, product and campaign type,
marketing effort, in-store display, and pricing strategy to identify the best forecasting
approach for each promotion, item and sales channel or store. The resulting promotion
forecasts are routinely tens of percentage points more accurate than those using
simpler approaches based on average historical uplifts.
NEW PRODUCT LAUNCH
In retail, thousands of new items are introduced every year, and you need to be able to
generate good forecasts for all of them – for each store or sales channel. Manual
forecasting methods and approaches based on manually setting reference items for
new products are rarely adequate, so we have built a customized Machine Learning
model built on Google Cloud Platform to improve Demand Forecasting.