Case Study: AvidMax improves seasonal inventory forecasting with Rithum Demand Forecaster

AvidMax avoids stockouts and plans future inventory with Rithum Demand Forecaster

AvidMax, a fly fishing retailer, faced significant challenges with sales forecasting to ensure it had adequate inventory ahead of regional fishing seasons. Without a dedicated data science team, its previous forecasting tool was unreliable and failed to account for lost sales from items being out of stock, risking lost revenue as customers would turn to competitors. To solve this, the company turned to Rithum and its Demand Forecaster product.

Rithum's Demand Forecaster applied machine learning to provide AvidMax with detailed, product-level forecasts for future sales, enabling more tactical inventory purchasing decisions. The solution provided critical insights without any additional charges for the predictions. As a result, AvidMax's leadership found it to be exactly what was needed for future planning, gaining great insights into the variables affecting online and third-party sales.

AvidMax