Retail & consumer analytics · SymphonyAI

SymphonyAI Retail

AI-driven retail and CPG analytics suite covering demand forecasting, pricing, promotions and supply chain planning.

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SymphonyAI Retail CPG, formerly Symphony RetailAI, applies machine learning to retailer and CPG data for demand forecasting, price and promotion optimization, assortment and space planning, and supply chain and replenishment planning. It is part of SymphonyAI, a portfolio of industry-specific AI businesses, and sells to grocery, general-merchandise and CPG companies looking to automate planning decisions that were previously handled with simpler statistical or manual methods. Its positioning emphasizes end-to-end retail planning, from demand signal through to store replenishment, rather than customer-loyalty analytics or syndicated market data. It is sold as enterprise software on multi-year contracts, typically deployed as a cloud platform integrated with a retailer's existing systems.

At a glance

Vendor SymphonyAI
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for Grocery and CPG companies automating end-to-end demand and replenishment planning.

Pricing

Sold as enterprise software on multi-year contracts; pricing is not published.

Pricing has not been verified yet — see the vendor's site.

Features

  • AI-driven demand forecasting
  • Price and promotion optimization
  • Assortment and space planning
  • Supply chain and replenishment planning
  • Markdown optimization
  • Integration with retailer ERP and POS systems

Profile last reviewed September 21, 2026

Alternatives

dunnhumby Customer data science company using retailer loyalty and transaction data to guide pricing, promotion and personalization decisions. Aptos Unified retail commerce platform covering point of sale, merchandising and order management, with built-in analytics and reporting. RetailNext In-store analytics platform using sensors and video to measure foot traffic, shopper behavior and store performance.

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Terms to know

Demand forecasting Estimating future customer demand for a product so inventory, production and staffing can be planned ahead. Markdown optimization Using data and models to decide when, how much, and on which products to cut price so excess inventory clears at the best return.

Related guides

How to choose a retail analytics platform Retail analytics covers market-share panels, in-store sensors, a retailer's own loyalty data and commerce platforms — the data source decides the tool.