SymphonyAI has introduced a suite of software copilots for retailers and CPG manufacturers, bringing generative AI capabilities to its intelligent merchandising, supply chain, and store and space product suite. The Category Manager Copilot and Demand Planner Copilot use predictive and generative AI to address the challenge of sub-optimal decision making that results from incomplete and siloed data and processes in retailers and CPGs as well as the complexity of trying to gain meaningful, timely insights.
With a unified, AI-driven, and shared-data approach, SymphonyAI solutions help users make context-aware decisions that balance different teams’ business priorities organization-wide while reducing analysis cycles from days or hours to minutes or seconds. The SymphonyAI retail copilots work with SymphonyAI’s intelligent, connected retail AI applications to help retailers and CPGs uncover meaningful insights, recommendations and actions.
The copilots’ natural language interface lets users intuitively understand and interact with the underlying predictive and analytic AI that shows what’s happening and why, so they can ask “what if” questions to uncover specific, actionable opportunities. The SymphonyAI retail copilots, built on the SymphonyAI Eureka GenAI architecture and part of the CINDE GenAI suite of retail AI applications, use generative AI with specialized domain expertise, a retail-trained large language model (LLM), and workflows for productivity and accuracy.
