Algonomy + Databricks Built On Partnership for RetailAI

Algonomy is a global leader in retail-centric marketing and planning solutions with a proud history of more than twenty years, serving 500+ global brands. Algonomy, as the name suggests, is one of the earliest solution providers to adopt an AI-first solution strategy, which is built on retail-specific proprietary algorithms and data models. It has further strengthened its position as an AI-first solution provider with RetailAI, a suite of agentic solutions focused on retail planning.

RetailAI: Agentic Intelligence for End-to-End Retail Planning

RetailAI provides agentic solutions to retailers for demand forecasting, demand sensing, replenishment planning, allocation, promotion and price optimization, assortment planning, scheduling, logistics planning, operations planning, and space planning. It transforms traditional GUI-driven user interactions to conversational user interactions, which are powered by agentic AI, deep learning, and machine learning technologies.

While modern technologies such as machine learning, deep learning, generative, and agentic AI remain at the very core of Algonomy solutions, it firmly recognizes the need to create business impact through clearly measurable outcomes. According to them, in the absence of clear business outcomes, any technology will become obsolete over time, no matter how transformative it may be. Algonomy’s products are designed, and customer engagements are shaped with this guiding principle at the forefront.

Built On Databricks Partnership: A Governed Foundation for Agentic AI

As a Built-On Databricks partner, Algonomy and Databricks share a common belief: great AI is only possible when great data, strong governance, and production-grade AI models come together at scale. RetailAI is an AI-native retail intelligence and planning platform, purpose-built for complex retail use cases. At its core are Algonomy’s proprietary retail algorithms, retail-specific data models, and out-of-the-box insights — accelerating time to value for retailers while reducing the ROI risk associated with large-scale AI initiatives.

RetailAI is built natively on the Databricks Data Intelligence Platform, leveraging Apache Spark™, Photon, Mosaic AI, MLflow, and Unity Catalog to deliver governed, scalable predictive, prescriptive, and agentic AI. AI/BI Genie and Agent Bricks power conversational and agentic planning experiences, while seamless integration with SAP Business Data Cloud through Databricks enables ecosystem connectivity without data duplication. Together, Algonomy and Databricks enable retailers to move from data to decisions faster — combining retail-grade AI, trusted data foundations, and enterprise-scale performance in a single, unified platform.

Executive Perspective

“This is a special collaboration because both Databricks and Algonomy believe that future software will be AI-first solutions powered by great data, great models, and great agentic capabilities. While Databricks has built exceptional data and AI frameworks, we at Algonomy have dedicatedly built deep learning and machine learning algorithms for retail planning use cases for the past 20 years. Moreover, Retail Planning is Agentic AI’s #1 use case, where AI delivers the most immediate and measurable success. By building our solution on Databricks, we’ve combined the power of compound AI systems with a robust data foundation to turn complex models into autonomous action,” said Ravi Shankar, Chief Business Officer, Algonomy.

"Retailers today face intense pressure to transform their businesses in response to rapidly shifting consumer demand. RetailAI gives them a powerful platform for driving that transformation, combining Algonomy's deep retail domain expertise with the intelligence and scale of the Databricks Data Intelligence Platform," said Bryan Smith, Databricks’ Head of Partner Ecosystems for Consumer Industries. "This partnership enables retailers to move from reactive planning to predictive, outcome-driven strategies powered by agentic AI—delivering the speed and precision today's market demands."