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IDC Spotlight: Data-Driven Business: Transforming Retail and Consumer Goods with Analytics

Read | May 20, 2025

AUTHOR(s)

Filippo Battaini

Research Manager, IDC Retail Insights, Europe

Key Points

In today’s high-velocity retail and Consumer Packaged Goods ((CPG) landscape, data is the engine of growth – but unlocking its true value requires more than just collection. As highlighted by IDC retail research, fragmented systems, siloed operations and inconsistent data visibility continue to hinder agility, efficiency and personalization.

To stay competitive, leading retailers and CPG firms are embracing IDC retail insights as a blueprint for data-driven transformation – using analytics and Artificial Intelligence (AI) to rewire operations, enhance decision-making and deliver seamless, omni-channel customer experiences.

This IDC Spotlight, sponsored by WNS, explores how retailers and CPG businesses are leveraging advanced analytics and AI to boost efficiency, drive revenue growth and future-proof their operations. It highlights how capabilities such as predictive retail analytics, customer journey intelligence and Generative AI-powered personalization are helping businesses shift from reactive to proactive – and from fragmented to unified.

Discover how WNS is enabling this transformation through its domain-led analytics solutions for retail and CPG. Through tailored CPG analytics, including real-time demand forecasting and revenue growth management to store operations digitization and AI-driven loyalty optimization, WNS empowers organizations to turn insight into impact — fast, intelligently and at scale.

FAQs

1. What are IDC Retail Insights, and why are they important for retail and CPG businesses?

IDC Retail Insights provide research-backed guidance on using AI and analytics to improve operations, boost efficiency, and deliver personalized customer experiences for sustainable growth in retail and CPG industries.

2. How can AI and predictive analytics enhance retail demand forecasting?

AI and predictive analytics help retailers anticipate customer demand, optimize inventory, reduce stockouts, and streamline operations, enabling faster, smarter decisions and improved efficiency across stores and supply chains.

3. How does Generative AI personalize customer experiences in retail and CPG?

Generative AI analyzes customer behavior and preferences to create tailored recommendations, offers, and communications, enabling highly personalized shopping experiences that increase engagement and loyalty.

4. How can analytics unify fragmented retail operations for better decision-making?

Advanced analytics integrates siloed data to provide a holistic view of operations, helping retailers and CPG companies move from reactive processes to proactive, data-driven decision-making.

5. What are practical AI applications in store operations and loyalty programs?

AI can digitize store workflows, optimize staffing, predict inventory needs, and enhance loyalty programs with personalized offers, improving both operational efficiency and customer satisfaction.

6. How does WNS help retail and CPG companies leverage AI effectively?

WNS provides domain-led analytics solutions, from real-time demand forecasting to AI-powered loyalty optimization, enabling businesses to turn data insights into fast, intelligent, and scalable operational impact.

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Related To: Retail and CPG