SymphonyAI has teamed with Microsoft to bring leading retail AI software applications using Microsoft Azure OpenAI Service to retailers and CPGs worldwide, delivering rapid, in-depth insights, and paving the way for truly connected end-to-end retail. The collaboration was announced at NRF 2024: Retail's Big Show in New York City. SymphonyAI's retail applications combine deep retail domain expertise with predictive and generative AI capabilities on Azure so retailers can make more effective decisions faster.

SymphonyAI retail AI applications are built on fine-tuned, retail-specific LLMs and use Azure OpenAI Service to provide secure insight into customer datasets and linked external sources. With the recent announcement of the SymphonyAI Category Manager Copilot and Demand Planner Copilot, SymphonyAI is enabling retailers to tackle the toughest retail challenges faster and better. The SymphonyAI Category Manager Copilot uses SymphonyAI's extensive retail LLM capabilities, combining decades of retail and CPG knowledge, processes, content, and customer segmentation to provide rapid insights into current customer merchandising and sales data.

As a result, the Category Manager Copilot understands the intent of a user's questions to rapidly identify all performance-affecting factors in a product category and make recommendations about best actions to take. The copilot uses both text and graphics to quickly communicate insights and summaries, guiding users through different potential scenarios and assembling clear next steps. Using rapid insights from SymphonyAI Category Manager Copilot, category managers make better decisions faster, bringing category strategies to life and giving shoppers the items they want, when and where they want them.

The Demand Planner Copilot gives demand planners the ability to more accurately forecast optimized inventory quantities with a prioritized approach to understand, act, and communicate inventory requirements based on highly accurate AI-based forecasts. A retail demand planner is responsible for ensuring the right quantities of items are ordered to satisfy customer demands while minimizing waste. The Demand Planner Cop pilot performs deep, rapid analysis to accurately pinpoint the cause of increased or decreased demand and provides mitigation recommendations.

When new items are introduced into the assortment with no demand history to inform the forecast, the Demand Planner Copilot rapidly indexes master item repositories to match attributes of like items to generate forecasts that the planner could not have created without extensive manual research and incomplete assumptions.