Crisp has announced the general availability of Crisp AI Agents.
The new platform is designed to automate retail operations for Consumer Packaged Goods (CPG) brands and retailers by leveraging daily, store-level intelligence and Google Cloud’s Gemini 3 models.
The launch marks a significant shift from traditional reporting to “Agentic AI,” where autonomous agents perform complex tasks to optimize retail strategies across millions of points of distribution.
Moving Beyond Analytics to Action
While traditional retail tools focus on data visualization, Crisp AI Agents are built to execute “AI Missions.” These missions allow the agents to proactively identify issues—such as low inventory or poor display placement—and take corrective action.
For instance, the agents can monitor a promotion’s performance in real-time. If a distribution center shows low stock, the agent can automatically recommend increased order quantities and contact the retail buyer to facilitate the change.
Are Traasdahl, CEO and Founder of Crisp, emphasized the collaborative potential of the technology:
“At the core of a successful retail strategy is collaboration… AI Agents can automate, negotiate, coordinate, and problem-solve, turning well-defined coordination into a competitive advantage.”
Powered by Google Cloud Gemini
The platform is built on Google Cloud, utilizing Gemini models to provide conversational data analysis and sophisticated visualizations. This integration allows brands to bridge the gap between raw data and enterprise-wide execution.
Vikas Jain, Director of US Retail & Consumer ISV at Google Cloud, commented on the partnership:
“Combining Google’s Gemini models with Crisp’s retail data foundation enables brands to convert retail insights into action faster. By integrating Google Cloud’s AI with Crisp’s AI Agent, brands can leverage sales and inventory data in seconds to create visualizations that strengthen their retail partnerships.”
Proven Results in Beta
Leading brands, including Schwan’s, have already begun utilizing the AI Agents through Crisp’s beta program. The results highlight a shift toward more precise, data-driven assortment recommendations.
Ben Martel, Category Manager at Schwan’s, shared his experience:
“Crisp AI Agents have streamlined my reporting process, saving significant time each week while also delivering advanced insights through interactive visualizations. It has enabled me to quickly identify high-performing items with low distribution as potential growth levers, as well as low-performing items that are at risk. With these insights, I have been able to provide my retailer with more precise data-driven assortment recommendations.”
A Foundation of Retail Intelligence
The effectiveness of these agents is rooted in Crisp’s proprietary Retail Knowledge Graph and semantic layer. By cleansing and modeling diverse data sets across the supply chain, Crisp translates complex logistics into actionable insights for sales and category teams.
Traasdahl noted that this level of integration is essential for overcoming the siloed nature of the industry:
“At the core of a successful retail strategy is collaboration. Crisp’s AI Agents will change the way retailers and suppliers communicate and collaborate, by surfacing alerts and by leveraging AI Missions that make autonomous decisions that give retail the optimization boost it needs. Currently, retailers, suppliers, and distributors each hold only a slice of the truth due to complex workflows, fragmented data, and cross-company processes that are siloed. AI Agents can automate, negotiate, coordinate, and problem-solve, turning well-defined coordination into a competitive advantage.”
By turning theoretical AI capabilities into tangible business outcomes, Crisp aims to drive increased profitability and capital efficiency for the 7,000+ brands currently using its platform.