Retail Applied Intelligence
Drive profitable growth by putting your most loyal customers at the heart of every business decision—from your products to your supply chain.
Tap the growth potential of high-value customers
Knowing your high-lifetime value (HLV) customers is the key to future retail growth. Our ai.RETAIL solution helps retailers to rapidly apply artificial intelligence at scale in Marketing, Merchandising and Supply Chain to drive profitable growth.
Customer profit and revenue (CPA)
Use predictive analytics to determine your high lifetime value customers and create retention, acquisition and marketing strategies.
Merchandising
Use prescriptive analytics to identify your most profitable customers, and localize products, promotions and prices to drive loyalty in-store.
Traffic
Get a 360-degree view of what brings customers to your stores. From marketing and supply chain to merchandising and labor.
Inventory optimization
Use data-driven analytics to flow and locate inventory that matters to your HLV customers—maximize in-stock, working capital and inventory ROIC.
Shape of chain
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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Artificial intelligence in retail: Scale at speed
Many retailers agree artificial intelligence (AI) continues to transform the industry—eighty-six percent are experimenting to forge new paths to growth. But most retailers are pursing AI as one-off initiatives running in functional silos, and not realizing its true potential to impact their top and bottom lines.
In this report, we propose that by starting with a human approach to data and focusing on four critical areas—people, data, platform and governance—retailers can move from experimentation to rapidly driving value at scale with AI, and drive new paths to growth.
Realize the true potential of AI by moving from experimentation to scale across the enterprise.
Case studies
Grocer Intermarché, Microsoft and Accenture collaborated on an organization-wide data transformation.
Grocer Alepa launches innovative chatbot Block Wish to increase customer choice and convenience.
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The Power of Retail Partnership
Accenture, Microsoft and Avanade have teamed up to create a powerhouse partnership that weaves together retail industry expertise with technology solutions to drive the most value for retailers and their customers. This unique collaboration of a consulting firm, technology company and joint venture between the two, gives retailers the power to transform at scale and gain lasting competitive advantage.
In this short video, hear how leaders bring this partnership to life and describe the value that comes from co-creating highly relevant industry solutions.
What we think
Retail success requires data and analytics to find and focus on high-value customers who drive bottom line growth.
In order to successfully scale enterprise AI investments, leaders must understand how to leverage AI data across teams to drive value.
Adopting environmental, social and governance (ESG) practices will allow retailers to thrive again.
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Capabilities
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