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Activating retail decisions with governed data products.

How a retailer could use Latttice, the AI-powered Data Product Workbench from Data Tiles, to turn fragmented customer, product, and channel data into trusted, reusable data products that support merchandising, marketing, and store operations.

Executive Summary

From Channel Silos to a Trusted Trading View

Retailers compete on speed, relevance, and availability. Each of those depends on whether trading, marketing, and store teams can trust the same view of customer, product, and inventory data when they make decisions throughout the day.

This example illustrates how a retailer could use Latttice to activate its existing data ecosystem. Rather than rebuilding platforms, the retailer could use the Data Product Workbench to turn fragmented retail data into governed, reusable data products consumed by merchandising, marketing, store operations, and AI use cases alike.

Key Outcomes

Four shifts in how the retailer used trading data.

01

One View of Customer and Basket

Merchandising, marketing, and store operations worked from the same governed customer and product data products rather than channel-specific extracts.

02

Faster Trading Decisions

Pricing, promotion, and assortment questions were answered through reusable data products instead of new engineering tickets, compressing days of work into hours.

03

Channel Consistency

Digital, store, and contact center teams used the same governed definitions of customer, product, and inventory, removing conflicting numbers across channels.

04

Governance Built In

Customer consent, pricing rules, and supplier sensitivities were embedded in each data product as it was created, not negotiated after the fact.

The Challenge

Customer, Product, and Channel Defined Differently

The retailer's data was spread across ecommerce, point of sale, loyalty, supply chain, and marketing platforms. Each system maintained its own definitions and refresh cycles, making it difficult to build a consistent view of customer and trading performance.

Fragmented Customer and Product Data

Loyalty, ecommerce, point of sale, supply chain, and marketing platforms each described customers, products, and inventory differently.

Slow Trading Cycles

Every new view of trade required engineering effort, and by the time data arrived, the promotion, price, or assortment decision had already been made.

Channel Conflict

Stores, digital, and marketing reconciled different numbers for the same trade, eroding confidence in performance reporting and forecast accuracy.

The Approach

Business-Built Data Products in Latttice

Rather than commissioning another integration program, the retailer could use Latttice to let trading, marketing, and operations teams design the data products they actually needed. Subject matter experts worked in the Workbench's guided, zero-code environment to combine sources, apply consent and pricing rules, and publish governed data products with clear ownership.

Access controls, quality rules, and policy logic were embedded as each data product was published. Approved teams then consumed those products through BI, operational systems, and conversational interfaces, without reopening engineering tickets for every new question.

Organizational Impact

Trusted trading data across the business.

01

Merchandising and Trading

Trading teams accessed governed data products that combined sales, inventory, supplier, and customer demand signals in a single trusted view, reducing reliance on ad hoc spreadsheets.

02

Marketing and Loyalty

Marketing reused governed customer segments and consent-aware audiences across channels, improving relevance while staying compliant with privacy obligations.

03

Store and Channel Operations

Store managers and digital operations worked from the same governed availability, fulfilment, and customer experience data products, aligning service and stock decisions.

04

Foundation for AI

Governed customer, product, and inventory data products provided a reliable foundation for AI use cases such as personalization, demand forecasting, and assistive selling.

Conclusion

Retail Wins With Trusted Data at the Point of Decision

Trading, marketing, and store decisions are made many times each day. By activating its existing data ecosystem through Latttice, the retailer could deliver a consistent, governed view of customer, product, and inventory to the people and processes that depend on it, without rebuilding the systems already in place.

Explore Latttice Industry Solutions

Latttice supports retail, financial services, telecommunications, insurance, energy, public sector, and more — helping teams turn governed data into trusted data products at the point of decision.

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