~$1B retailer uses Ikigai to revolutionize demand forecasting

Retailer wanted better demand forecasts across both their retail and wholesale business at a highly granular level (e.g., by SKU)

Their existing forecasts were manual, relied primarily on human intuition, and were not at the SKU level

Retailer was looking to launch a new product, but had no historical data to use in forecasts

They weren’t sure how to forecast demand for this new product and whether the introduction of this new product would cannibalize sales of existing, similar SKUs

Retailer wanted to understand how discounts they were considering for their products would affect demand

While they assumed that discounts would drive greater demand, discounts also ate into their margins; they needed to find theright discount rate to optimally balance margins and unit sales