Demand Planning
Better availability, reduced overstocks and more accurate space planning thanks to high quality forecasts
Quant's AI forecasts future demand based on historical data and other factors such as promotions. High-quality sales forecasts help improve space planning, automated ordering and supply chain.
Main benefits
Up to 95% forecast accuracy
30% overstock
reduction
reduction
More than 30% availibility improvement
Rosa market and Pramen are running 170 grocery stores. We had no forecasting&replenishment tool; demand planning was done just for seasonal and promotional products. We were looking for solution which will help stores and stock management team properly fullfill our two DCs and 170 stores. We had no balance between stock level and availability. We found Quant simple to implement tool with wide retail operation platform. We were able with limited resourses implement Quant in three months. Our people in stores can more focus on customer faced services (before spend huge time to do orders), we decrease stock level with better availability.
Pavel Tománek / Retail expert
Rosa market
Get better sales forecasts within few weeks of implementation
Daily demand forecast
Thanks to Quant, you get a detailed daily forecast of demand at individual stores. Artificial intelligence takes into account historical data in which it looks for trends, seasonality, the impact of promotions and other events. In addition, the possibility of manual corrections allows you to take into account influences that are not data driven.
Supply chain
Demand at individual outlets determines demand at intermediate warehouses and demand at intermediate warehouses determines demand at central warehouses. Quant can predict the demands on the entire supply chain from the central warehouse to the point of sale and can convert these predictions into automatic or semi-automatic ordering.
Many factors taken into account
Quant takes a large number of factors into account when forecasting demand for a particular day, product and store. Here are some examples:
- What is the total monthly demand forecast?
- What part of the month are we in? Is it before or after payroll?
- What day of the week is it? Monday sales tend to be different than Sunday sales.
- Will the product be on sale?
- Is it a significant day such as a national holiday?
- Has the product been on sale for a long time or is it new?
- If it is a new product, does it have a defined predecessor?
We make predictions based on the past and what we know about the future.
Planogram optimization
The forecasts can also be used in Quant to automatically generate optimised store specific planograms to make the demand easier to manage logistically.
Exceptional value for money
Compared to competitive solutions, Quant offers great value for money. Our goal is to make high-quality forecasts available even to small retailers, while at the same time achieving quality sufficient for large retail networks.
Support during set up phase is key
No forecasting runs perfectly from the first day of setup. We understand that each retailer is unique and has its own specifics that need to be taken into account so that forecasts work well and are accurate enough. Support from our specialists while setting up, checking and improving automatic forecasts is a matter of course with Quant, at no extra charge.
