AI Solutions for CPG

Outmaneuver your competitors with game-changing tools built by CPG experts.

Fusion

Unify your data with Fusion

Fusion uses AI-native ETL pipelines to normalize, enrich, and connect billions of lines of data into a query-ready environment. That means no more silos, manual spreadsheets, or slow turnaround times — just clean, unified data ready for action.

A single source of truth

Combine your POS, loyalty, and shipment data with third-party feeds and AisleAI’s proprietary, independent-channel data.

Universal alignment

Instead of siloing teams and data, now everyone can collaborate by accessing critical information in real-time.

Actionable insights

Support your KPIs and find unexpected opportunities by cross-referencing multiple data sources at once.

Atlas

Find your white-space with Atlas

Atlas shows you where to grow next. By pinpointing the locations and markets most likely to deliver incremental growth, Atlas gives your team a roadmap for smarter expansion and increased ROI.

Targeted Distribution

More isn’t always better. Learn where your target consumer shops and secure effective placements.

Consumer Strategy

Not every store placement is created equal. Create successful consumer trial strategies by knowing where they shop.

Market Share

Grow your market share with placements that drive velocity.

Basket

Reveal cross-category
affinities with Basket

Basket takes you inside the shopping trip. Reveal what products your shoppers actually buy together and design smarter promotions and bundles that move the needle. 

Merchandising Strategy

Improve your in-store positioning by placing your product next to brands in your consumers’ baskets.

Cross-promotion

Identify affinity categories and secure displays based on data, not on buyer location availability.

Consumer Behavior

Understand consumer behavior based on their basket affinities and purchasing habits.

Pulse

Track and predict
performance with Pulse

Pulse is a demand prediction engine built for the complexity of retail. Predict sales, optimize inventory, and reduce costly stockouts or overages.

Increase Sales

Don’t guess – use data to spend smarter at the right stores to drive increased sales and optimize distribution.

Understand Demand

Combine data on price changes, promotions, weather, events, traffic patterns, proximity to POI and store execution data to train machine learning models at the SKU and store level.

Inventory Optimization

Instead of relying on “build to par” shipment orders, support your sales teams with data-driven inventory optimization.

Prism

See your shelf with Prism

Prism connects what’s happening on the shelf to what’s happening in the numbers. Using AI image recognition and field data from partners like Observa, Prism grades planogram compliance, share-of-shelf and merchandising quality in real time. With Prism, your team doesn’t just see photos — they see measurable performance tied directly to sales outcomes.

Shelf Optimization

Make the most of your shelf space, whether you are maximizing profit as a retailer or ensuring ROI as a brand.

Promotional Execution

Maximize promotional revenue from the shelf and avoid category cannibalization.

Consumer Engagement

Optimize category performance to drive consumer engagement and operational efficiency.

Radar

Discover new market
entrants with Radar

Radar keeps you ahead of the competition. By continuously scanning for new product launches, measuring velocity, and tracking category shifts, you can spot winners and threats before they scale — and act while there’s still time.

Threat Detection

Don’t wait for 3-month-old syndicated panel data. Get daily insights on national and regional product launches in your category.

Social Media Targeting

Radar mines TikTok and Instagram for emerging products, grading virality based on organic post volume and consumer engagement.

One-step Ahead

Be proactive, not reactive. Use actionable data to address new category entries.

Comparison

AisleAI Solutions vs Legacy Analytics

Discover the AisleAI Advantage

Legacy Analytics

Outdated Operational Model

  • Figures reported weeks behind shelf activity
  • Broad, region-level insights
  • Siloed Data Sources
  • Access restricted to data-analysts
  • Delayed information pending manual analysis
  • Panel or Shipment Based Data
  • High-cost consulting with rigid contracts

Brands that invest
in AI now will win.