Industries · Retail & CPG

Data & AI for retail & CPG

Shopper, product, store, supplier and media intelligence on one governed data foundation — with AI that explains what changed, sizes what it costs, and helps every team act on it.

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Where we work in retail & CPG
Shopper 360Basket analyticsMerchandisingPricing & promotionsAssortmentSupply chainOTIF & fill ratesStore operationsRetail mediaE-commerceDigital analyticsLoyalty
The problems

What slows retail decisions down

Six problems we see across retailers and consumer brands, whatever their size.

Data in a dozen silos

POS, e-commerce, loyalty, supply chain and media data live in separate tools, and none of them agree on a customer or a SKU.

Dashboards that don’t explain

Teams see that sales fell but not why, so every meeting starts with an analyst rebuilding the story by hand.

Out-of-stocks found too late

Shelf gaps and supplier misses surface in weekly reports, after the lost sales have already happened.

Media spend without clear return

Spend is split across CTV, search, social and retail media, with attribution that changes depending on who you ask.

Digital friction nobody sees

A broken button or a slow page costs conversions every hour, and it stays invisible until someone happens to notice.

Store teams without answers

Store and field teams need quick answers on stock, promotions and performance, not another report to read.

The products

Built for retail and consumer brands

Three products that cover the shopper, the shelf and the spend.

InsightCarts retail intelligence
Retail intelligence

InsightCarts

360-degree intelligence across shoppers, products, stores and suppliers.

  • 16 entity 360 views across retail dimensions
  • Adaptive dashboards, smart alerts and a copilot
  • Role-based workbenches and what-if simulation
InsightClickIQ AI-first click analytics
Digital experience analytics

InsightClickIQ

Every click, every session, explained by AI.

  • Clicks, rage and dead clicks, forms, errors and Core Web Vitals
  • Signals sized in conversions likely lost
  • Agents that show every step; the model never writes SQL
InsightAdScale media intelligence
Media intelligence

InsightAdScale

AI-powered media intelligence across every advertising channel.

  • CTV, search, social, display, native, audio and programmatic
  • Real-time ROAS and AI budget recommendations
  • Multi-touch attribution and incrementality
Use cases

Where AI earns its keep in retail

Each use case runs on the same governed data, so the numbers agree from the boardroom to the store.

Shopper 360

One view of each shopper across store, web, app and loyalty: baskets, frequency, lifetime value and segment movement.

InsightCarts

Merchandising & assortment

SKU and category performance with price elasticity, market share and assortment gaps, explained in plain language.

InsightCarts

Supply chain & out-of-stock

Supplier OTIF, fill rates and out-of-stock signals as alerts, with the stores and SKUs affected and what to do next.

InsightCarts + streaming

Retail media & ROAS

Every channel in one view, with AI recommendations on where to shift budget and attribution you can defend.

InsightAdScale

Digital experience analytics

The page, element and session behind each lost conversion, sized and ranked so teams fix the costliest problem first.

InsightClickIQ

Store operations copilots

Store and field teams ask about stock, promotions and performance and get governed answers with sources.

Innovation POD build
Architecture

One data foundation, many teams

Sources stream into a governed lakehouse; entity 360s and an AI layer serve every team from the same numbers.

Retail & CPG reference architecture
SourcesPlatformIntelligenceTeams POS & e-commerce Loyalty & CRM Supply chain Web & app clicks Ad platforms StreamingKafka · CDC · events Governed lakehouseDatabricks · BigQuery · Snowflakeone metrics layer Entity 360sshopper · productstore · suppliercampaign · channelAI layerinsights · copilotagents · what-if Merchants & category Supply chain & stores Retail media & marketing Digital & e-commerce Every insight traces back to the governed query that produced it.
Streaming and CDC keep the 360s current; the AI layer reads only governed data.

Proven at scale: we have built data and AI platforms for one of the world’s largest retailers.

Reading

Retail field notes

Posts from across our product sites.

Built on the platforms retailers already run
DatabricksSnowflakeGoogle Cloud & BigQueryAWSAzureConfluentRedpanda

Start with one question your teams ask every week

A two-week assessment maps the data behind it, then a pilot answers it with AI on your own data.

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