BENTONVILLE, Ark. - January 8, 2025 –  Crisp, a leader in retail analytics and supply chain innovation, has launched AI Blueprints, a suite of open-source, AI-ready templates designed to help CPG brands identify opportunities and address challenges in sales, assortment planning, supply chain optimization, and more.  

By democratizing access to advanced analytics, AI Blueprints empower data teams to:

• Streamline workflows: Automate manual tasks and improve efficiency.
• Reduce operational costs: Simplify processes to focus resources where they matter most.
• Improve decision-making: Gain faster, more accurate insights from harmonized data.

Available at no cost, AI Blueprints from Crisp are designed to empower data scientists and analysts by reducing the time required to build complex models from scratch. The templates address key supply chain challenges, providing insights into real-time product demand, on-shelf availability, inventory health, seasonal impacts, pricing strategies, and promotional effectiveness. Crisp will continuously add to the AI Blueprints catalog with AI/LLM-powered Notebooks that run directly in Databricks and other cloud platforms and harness advanced technologies for even deeper insights.

Crisp’s AI Blueprints address key challenges and provide actionable insights, including:

• Store Clustering: Group retail locations by sales, demographics, and geography for more targeted strategies.
• Weather Analytics: Align inventory and demand with weather patterns.
• Anomaly Detection: Quickly flag irregularities in sales or inventory.
• On-Shelf Availability: Ensure products are consistently available to customers

The Future of AI Blueprints
Crisp is actively expanding its Blueprints catalog with AI/ML-powered Notebooks that leverage LLMs to enhance automation, pattern detection, and predictive insights. Future Blueprints will focus on advanced challenges such as:

• Product Categorization: Use GenAI to predict and validate product categories.
• Demand Redistribution: Analyze demand shifts due to closures or weather.
• Promotion Optimization: Predict and enhance promotion outcomes.

Why AI Blueprints Matter

• Efficiency: Reduce time-to-value with plug-and-play Notebooks that simplify data integration and analysis.
• Scalability: Easily adapt solutions to fit existing cloud infrastructure.
• Future-Proofing: Harness AI-driven advancements, including LLM-powered Blueprints, to stay ahead of industry challenges and unlock transformative insights.

“AI Blueprints demonstrates how quickly some of the biggest challenges in retail and supply chain analytics can be addressed by applying state-of-the-art technology to fresh, clean, and well-organized data," said Dag Liodden, chief product officer, Crisp. "By collaborating with Databricks and other cloud platforms, we’re creating a scalable, AI-ready foundation that will empower data teams to deliver meaningful business outcomes.”

Crisp’s partnership with Databricks underscores the importance of efficient, scalable analytics in retail.

“Blueprints simplify how data is analyzed and transformed, enabling teams to achieve more with fewer resources," said Justin Fenton, senior director, Technical Partnerships, Databricks. "This partnership is about empowering analysts and decision-makers with robust, pre-built tools that are ready for immediate deployment.”

AI Blueprints are designed to work seamlessly across most clouds, data, and compute infrastructures, making them easy to adopt and customize for unique business needs. By democratizing access to advanced analytics, Blueprints enable data teams to streamline workflows, reduce operational costs, and improve decision-making across the organization.

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About Crisp:
Crisp, the market leader in Collaborative Commerce, connects and normalizes over 40+ retail data sources to provide real-time insights and trends. Thousands of brands, retailers, and distributors rely on Crisp to optimize supply chains, reduce waste, and create a more sustainable food value chain while improving profitability. Learn more at www.gocrisp.com.