Handling Sparse and Noisy Data in Retail Forecasting
Despite having abundant data from multiple functions, retailers often struggle to make effective data-driven decisions. The prevalence of sparse and noisy data, one of the major reasons behind this, significantly challenges retail planning by distorting demand forecasts and making accurate decision-making difficult.
Managing Demand Deviations During Promotions With AI-Powered Replenishment
Promotions are just like the castling in chess. Move the king a bit too much toward the corner, and the opponent might potentially attack the squares the king moves through, and your strategy goes in vain.