Case Study: Chef Works achieves rapid, code-free predictive analytics and major time savings with Qlik AutoML (Qlik)

Chef Works Qlik AutoML reduced labor process and helped Chef Works dominate with data

Chef Works, a leading designer and supplier of apparel for the hospitality industry, faced sharply reduced bandwidth and unpredictable customer demand during the COVID-19 pandemic. With customers and revenues under strain, the company needed a faster, lower-effort way to apply data science to forecast sales, identify which accounts would survive, control inventory, and keep innovating at competitive price points.

By adopting Qlik AutoML, Chef Works eliminated manual coding and model tuning, using intuitive AutoML workflows and Shapley-value explanations to iterate models in minutes instead of days. The change delivered rapid, actionable insights—better forecasting, product-bundling and lead-scoring opportunities, and inventory control—while cutting modeling time to as little as 30 minutes and saving roughly $10K annually, supported by smooth onboarding and an ongoing partnership with Qlik.

Chef Works

Sarah Gasman

Senior Business Data Analyst