Bringing AI-powered solutions to transform marketing, merchandising and supply chain.

Retail’s data-driven reset

Retailers must continually and responsibly reset the business to thrive in a world that’s changing fast. From consumer behaviors and market trends to competitive dynamics and the economic outlook, today’s reality is unlikely to be tomorrow’s. Retailers are grappling with factory shutdowns, stressed supply chains, sourcing scarcity, and even extreme weather. This is the nature of modern retail. And it will be from now on.

While retailers are swimming in data that can help them make sense of this complex landscape, functional silos and a lack of strong data governance make it difficult to get enterprise-wide data insights. So retailers are missing the big picture—they need to be truly data-driven and realize their retail digital transformation.


Benefits of ai.RETAIL

Data-driven retailers don’t just have data. They continually unlock value from it to advance the business. ai.RETAIL provides transparency, agility and flexibility with retail-driven advanced analytics through a flexible and scalable platform.

Total visibility: Create one version of the truth

Use predictive analytics to determine your high lifetime value customers and create retention, acquisition and marketing strategies.

Customer centricity: Put the customer at the core

Use prescriptive analytics to identify your most profitable customers, and localize products, promotions and prices to drive loyalty in-store.

Bias for action: Turn data into responsible actions

Move fast with predictive, prescriptive insights and detailed scenario simulations. Test and learn more quickly to refine use cases.

Data-savvy workforce: Empower all people with data

Use data-driven analytics to flow and locate inventory that matters to your HLV customers—maximize in-stock, working capital and inventory ROIC.

New business models: Data as a competitive asset

Leverage advanced analytics to optimize existing and future supply chain real estate, including stores and distribution centers.

Predictive returns

Deliver an end-to-end process to create overall return efficiencies by identifying items most likely to be returned and customers driving returns.

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Customer profit and revenue

Create a granular customer view to understand customer profitability, loyalty and buying behaviors for each interaction.

Dynamic merchandising and assortment

A customer-centric approach to optimize assortments, channels and space to delight customers and drive growth.

Supply network, analytics and profitability

Combine internal and external data for complete visibility. Create a supply network digital twin to mitigate risks.

New business models

Monetize your data and share key insights with valued suppliers. Establish marketplace platforms with optimized customer targeting.

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Case studies

Grocer Intermarché, Microsoft and Accenture collaborated on an organization-wide data transformation.

Thai retailer Central Group uses data to create unique experiences for shoppers.

Canadian QSR Tim Hortons drives customer loyalty through its new Tims Rewards program.

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Connect with us

Request a demo

Connect with us to learn how ai.RETAIL can help you become a data-driven retailer.

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Unleash the power of AI in retail

Data-driven retailers are able to keep up with changing consumer behaviors, market trends and competitive dynamics. But many retailers are data-rich but insights-poor due to functional silos that make it difficult to get enterprise-wide data insights. Learn how ai.RETAIL can help retailers get more out of their data by bringing strategy, artificial intelligence (AI) and technology together for a single view of the customer and the enterprise.

Learn how retailers are using data to drive customer experience, innovation and growth.

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