Case Study
ML-Powered Demand Forecasting For a Canadian Ecommerce Company
Replacing a traditional spreadsheet forecasting model with an advanced machine learning solution transformed inventory planning for a Canadian clothing retailer. By implementing custom predictive tools developed by Instinctools, the company successfully leaped its long-term forecasting accuracy from twenty-three percent to ninety-two percent. The tailored Instinctools software streamlined complex data analysis and Power BI visualization, helping the brand lower stockouts to ten percent while keeping overstock within a five percent range. Ultimately, this strategic digital upgrade empowered the enterprise to optimize supply chain efficiency, reduce holding costs, and deliver consistent product availability for shoppers nationwide.
