Fresh inventory, fresher insights.
AI agents for Retail & CPG.
Deploy autonomous AI agents that act as digital workers, delivering real-time demand forecasts, dynamic pricing, campaign optimization, and effect estimation at 1/10th the cost, with no seat licenses, additional tools, or consultants.
Leaders automating their data science workflows
Leaders automating their data science workflows
Overcome Retail
& CPG’s biggest bottlenecks.
Traditional data and analytics teams and processes can’t keep pace with business growth or market volatility, leading to costly stockouts, margin erosion, and missed opportunities.
causaLens’ AI agents automate your most high-value workflows, such as forecasting, pricing, and logistics, providing you with insights and answers on demand, as well as prescriptive actions you can implement.
Here's how our autonomous AI Agents change the game:
The causaLens AI agents can ingest millions of demand variables in real-time, delivering hyper-accurate forecasts across thousands of SKUs, so you can avoid excess inventory and costly sell-through gaps.
Unlock retail & CPG’s full potential with causaLens
Traditional analytics fall short in fast-moving Retail & CPG environments, leading to inefficiencies and lost opportunities.
causaLens’ data science agents bridge this gap—empowering more effective decision-making.
Results from the real world
causaLens is already changing the game for leading retail organizations. Here are some examples:
Relying solely on intuition for decision-making, a leading online sports retailer lacked a clear, data-driven view of their business.
With causaLens, they gained real-time, AI-powered insights, enabling smarter resource allocation and more strategic decision-making. This transformation reduced time spent in executive meetings and directly unlocked €2M in additional revenue during a single week of the Black Friday period.
Autonomous AI agents that automate data and analytics for Retail and CPG.
Automate decision-making, optimise workflows, and drive measurable ROI. Deploy in days, not months. See impact in weeks, not years.