Industry: Retail and Consumer Packaged Goods

Whitepaper
Ausblick 2026: Der Weg zum agentenbasierten Unternehmen

AI is shifting from insight to action. As intelligence moves off dashboards and into real-time operations, enterprises must evolve from AI-first experiments to AI-native systems embedded across the software development lifecycle (SDLC). While early adopters are seeing meaningful gains, many organizations remain constrained by legacy friction, siloed data, and limited readiness for autonomy at scale. ...

Fallstudie
Sutherland Helps Global FMCG Giant Reduce Expiry Losses by 3% Through Supply Chain Innovation

Industry: Retail & Consumer Packaged Goods | Services: Automation Client Overview A world-renowned fast-moving consumer goods (FMCG) company with a turnover of €60 billion, offering a diverse portfolio of products across food, beverages, home care, personal care, and beauty sectors. The company operates in over 190 countries, serving billions of consumers daily.​ The Challenge Inefficient ...

Fallstudie
Delivering 35% Cost Savings and 3x Faster Purchase Cycles for a Global Sportswear Manufacturer Through Cloud Transformation

Discover how a global sportswear manufacturer partnered with Sutherland to enhance operational efficiency, reduce manual effort, and achieve a 35% reduction in total cost of ownership (TCO) through a strategic cloud transformation.

Fallstudie

Fallstudie
Global Conglomerate Reduces Technology Costs by 30% Through Cloud Modernization

How a major consortium modernized its silo-style operations through a strategic partnership, and a unique combination of market-leading technology and business process excellence.

Blog
The Rise of AI in Retail: Transforming the Omnichannel Customer Journey

Artificial Intelligence (AI) is revolutionizing the retail industry, reshaping how retailers operate and how consumers shop. AI-driven automation, predictive analytics, and hyper-personalization are streamlining internal processes and enhancing customer experiences, creating a seamless omnichannel shopping journey. Transforming the Retail Landscape AI is reshaping both front-office and back-office functions, enabling retailers to deliver personalized, data-driven experiences ...

Blog
Sustainable Retail in the AI Era: Turning Green Goals into Business Gains

As consumers, we are spoiled for choice in today’s market. Take a simple purchase like a pair of sneakers—do you opt for the brand that prioritizes sustainability, using recycled materials and ethical production, or do you choose a more affordable option with less transparency about its environmental impact? Globally, shoppers have expressed a growing willingness ...

Whitepaper
The Year for Hyperpersonalization, Mobile-Centricity, and Seamless Omnichannel Integration (Ungated)

The retail industry has already embraced AI in a big way. Yet, retailers still face challenges like context gaps in customer understanding, limited personalization, and headaches related to delivering a consistent shopping experience across all channels. Retailers seeking to deepen their embrace of AI-powered solutions need to focus on the technological building blocks that’ll enable ...

Whitepaper
How To Implement the Building Blocks for AI-First Transformation (Ungated)

AI has gone beyond an IT initiative to play an active role in business reinvention, creating new ways to streamline operations, enhance customer experiences, and drive efficiencies. It is setting the stage for continuous innovation in 2025 and beyond. To unlock the digital performance needed to achieve measurable results, companies will have to rewire how ...

Whitepaper
2025 Outlook | How To Implement the Building Blocks for AI-First Transformation

AI has gone beyond an IT initiative to play an active role in business reinvention, creating new ways to streamline operations, enhance customer experiences, and drive efficiencies. It is setting the stage for continuous innovation in 2025 and beyond. To unlock the digital performance needed to achieve measurable results, companies will have to rewire how ...

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