January 8, 2025
Sam D'Alois

Introducing AI Blueprints: Unlock actionable insights with AI-ready pre-built templates

Streamline complex analytics workflows & tackle challenges like anomaly detection, store clustering, and more with ease.

If you’ve ever felt overwhelmed by messy sales data or spent endless hours piecing together reports, you’re not alone. For data scientists and supply chain leaders, transforming raw data into actionable insights can be a constant challenge. That’s where Crisp AI Blueprints step in.

Crisp accelerates data science and AI initiatives by enabling up-to-date, clean data and ready-to-go templates for brands to activate their retail data and solve real-life challenges. These Blueprints empower teams to quickly uncover opportunities in sales, assortment planning, supply chain optimization, and beyond — helping businesses turn data into strategic decisions, fast.

Crisp AI Blueprints are free, open-source templates designed to simplify complex data analysis. Accessible as open source via the Crisp platform or directly from GitHub, they help you quickly turn clean, normalized data into actionable insights and deploy to Google Cloud, Amazon Web Services or Azure Cloud infrastructure. Think of them as your starting point for tackling retail and supply chain complexities. 

Whether you’re fine-tuning inventory plans or exploring how weather affects sales, AI Blueprints will help you streamline the process to focus on what truly matters: making better business decisions, faster, and with less strain on resources.

What makes Crisp’s AI Blueprints so powerful?

  • Pre-built and ready to go: Eliminate time spent building from scratch.
  • Open-source and customizable to your needs: Adapt the templates to match your specific business challenges.
  • Plug and play: Start using AI Blueprints immediately with minimal set-up.
  • Based on the Crisp data catalog: Clean data, always up to date, consistent across data sources.

The future of AI blueprints

Crisp is actively developing additional AI/LLM-based Blueprints, which will include advanced capabilities like product categorization, demand redistribution, and promotion optimization. These innovations will enable data teams to automate pattern detection and deliver predictive insights faster than ever.

AI Blueprints in action

Here’s how Crisp Blueprints tackle real-world challenges to deliver actionable insights:

Anomaly Detection: Stay ahead of surprises

The Anomaly Detection Blueprint helps you identify unexpected patterns or deviations in sales and inventory data. Whether it’s a sudden sales spike or a dip, this Blueprint provides clarity on the root cause, allowing you to take quick corrective action.

  • What it does: Flags irregular patterns in sales or inventory data, enabling quick root-cause analysis.
  • Scenario: A leading snack manufacturer notices unexpected dips in chip sales across a group of stores. With the Anomaly Detection Blueprint, they quickly identify that phantom inventory — items showing as “in stock” but missing from shelves — is causing the issue.
  • Outcome: The company collaborates with its retail partners to investigate stocking issues, restocks inventory promptly, and prevents further revenue loss — recovering $250K in sales over two months.

Store Clustering: Optimize store performance

The Store Clustering Blueprint groups retail locations based on key factors such as sales performance, customer demographics, and regional preferences — enabling you to tailor strategies for different store types.

  • What it does: Groups retail locations into clusters to uncover trends and opportunities.
  • Scenario: A national beverage brand struggles to tailor promotions for its diverse retail network. Using the Store Clustering Blueprint, they group stores based on demographics, sales velocity, and regional preferences.
  • Outcome: The beverage brand discovers that their “premium sparkling water” sells best in urban health-conscious areas, while family-sized formats perform better in suburban stores. Promotions are targeted accordingly, driving a 20% sales uplift in each cluster.

Weather & Seasonality Analysis: Align with consumer demand

The Weather & Seasonality Analysis Blueprint integrates sales data with weather forecasts to reveal how external factors influence consumer behavior. This allows you to predict demand and plan more effective inventory and promotional strategies.

  • What it does: Integrates sales data with weather forecasts to predict seasonal and weather-driven demand.
  • Scenario: A frozen dessert company uses the Weather & Seasonality Analysis Blueprint to plan inventory and marketing campaigns around weather patterns. They analyze past performance during heatwaves and overlay regional weather forecasts for the summer months.
  • Outcome: The company increases stock for popsicles and gelato in regions forecasted for high temperatures and launches targeted ads in those areas. As a result, they boost sales by 30% and avoid stockouts during peak demand.

On-Shelf Availability: Reduce stockouts

The On-Shelf Availability Blueprint enables brands to efficiently identify and optimize on-shelf availability challenges with their retail and distributor partners. It activates the modeled data sources to monitor stock levels in near real-time and flags gaps before they become revenue issues.

  • What it does: Enables speed and efficiency in leveraging data sources to monitor on-shelf availability and flag gaps in near real-time.
  • Scenario: A national dairy brand struggles with inconsistent on-shelf availability data with a key retail partner, causing recurring stockouts in key markets for both parties. With the On-Shelf Availability Blueprint, they gain a consistent and actionable view of on-shelf availability across their supply chain.
  • Outcome: The dairy brand identifies frequent stockouts in top-performing stores and resolves supply chain bottlenecks to optimize ordering patterns, pack sizes, and production plans. This leads to a 15% improvement in on-shelf availability, increasing customer satisfaction and sales with their retail partner.

The bottom line

Crisp AI Blueprints simplify complex data challenges, allowing brands to focus on what matters: driving smarter decisions, improving performance, and responding to real-world opportunities with speed and precision.

Why AI Blueprints work – for everyone

AI Blueprints take care of tedious data prep, letting you focus on high-value analysis. With seamless integration into your existing tools, they help you deliver insights faster than ever.

Blueprints also provide the insights you need to make informed decisions without needing a deep technical background. They bridge the gap between complex data and actionable business strategies.

The Blueprint advantage

Here’s why Crisp AI Blueprints are a game-changer for your team:

  • Save time: Skip manual data wrangling with pre-built templates.
  • Gain clarity: See your data in new ways with actionable insights.
  • Boost efficiency: Streamline workflows across your organization.
  • Future-proof your strategy: Build toward advanced AI/ML capabilities without starting from scratch.

Build your AI Blueprint today

Whether you’re a data scientist aiming for deeper insights or a supply chain leader seeking greater efficiency, Blueprints are designed to meet you where you are and help you get where you want to go.

Ready to transform your data journey? Explore Blueprints today and start unlocking the full potential of your retail and supply chain data.

Subscribe to the blog

* Required

We will handle your contact details in line with our Privacy Policy.

Be Data Ready for Anything

Crisp uses the power of the cloud to connect and analyze all of your data sources in real-time, providing you with the most meaningful insights and trends for your business. When you know exactly what’s in store, you can keep shelves stocked and customers happy while skyrocketing profitability.

You’ll be in good company