The Outcome

Asper had built and implemented an Al-centered, next-gen demand planning and forecasting engine (DDAI) that could help FMCG/ CPG firms generate accurate long-term demand forecasts by concentrating on the predictors of inventory, promotional calendar, and holidays/events. Within a year of implementation, a major concern was raised when the analytics data showed that a significant portion of the users were inactive in the tool. Can we use behavioral research methods to find the root cause and resolve this friction in tool adoption?   

The goal for this project was clear: help demand planners break their status quo and integrate the tool into their workflow.  After studying and scoping the user context and behavioral landscape, I designed interventions that included 1) product feature enhancement to deliver a seamless user experience, 2) Feature additions that addressed key workflows, and 3) Product strategy that focused on user-centricity.