Retail, consumer goods and wholesale organizations are under pressure to improve profitability, deliver friction-free omnichannel customer experiences and respond faster to changing market conditions.
AI in retail can help improve forecasting, pricing, promotions, personalization, product availability and operational efficiency. But value does not come from disconnected pilots alone. It comes from embedding trusted intelligence into the commercial and operational decisions that move the business every day.
At CGI, we help you move from experimentation to enterprise adoption by combining strong data foundations, responsible AI, unified commerce and end-to-end modernization. Our approach helps you scale AI retail solutions across customer engagement, merchandising, supply chain and store operations while keeping governance, transparency and humans-in-the-loop where they matter most.
These results reflect CGI's ability to combine business consulting, systems integration, managed services and industry solutions to help retailers scale AI from experimentation to enterprise adoption:
Operational efficiency30%
reduction in IT and operations costs for a global leader in mass merchandising
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Omnichannel fulfillment1.5 million
orders processed for pickup in a single month through Carrefour Drive services
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Operational efficiency80%
reduction of manual effort through Agentic AI
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Retail, consumer goods and wholesale organizations recognize the potential of AI, but many are still working to translate that potential into scalable, enterprise-wide outcomes.
Through capabilities such as AI Advisory, Responsible AI, Generative AI, Agentic AI and AI-powered intelligent solutions, organizations can move beyond isolated use cases and address some of the industry's most pressing challenges while building a foundation for long-term growth and resilience.
Improving profitability amid margin pressure - Rising costs, inflation and competitive pricing pressures are increasing the need for smarter pricing, promotions and inventory decisions. AI can help organizations improve profitability through more accurate forecasting, better promotion planning, stronger inventory visibility and faster decision-making.
Delivering personalized customer experiences at scale- Customers expect relevant, consistent and friction-free experiences across stores, digital channels, customer service and fulfillment journeys. Generative AI (GenAI) in retail and advanced analytics can help organizations personalize engagement, improve customer support and deliver more consistent experiences across channels.
Strengthening forecasting and product availability- Demand volatility and supply chain complexity make it difficult to balance inventory levels, avoid stock-outs and meet customer expectations. AI can support more accurate forecasting, better replenishment and stronger supply chain agility across stores, warehouses and fulfillment networks.
Scaling AI across fragmented environments- Many retailers struggle to scale AI beyond pilot initiatives because of inconsistent data quality, privacy and security requirements, fragmented systems, legacy technology environments and disconnected business processes. Scaling AI requires strong data foundations, modern integrated platforms, responsible AI governance and workflows designed for adoption across the enterprise.
Building trust, security and responsible AI control- AI adoption introduces new considerations around data privacy, security, transparency, compliance and accountability. Responsible AI helps organizations scale AI in a controlled, secure and business-aligned way, with governance and humans-in-the-loop where appropriate.
CGI developed an agentic AI Campaign-in-a-Box solution for Retail Trust that generates high-quality, personalized campaign content using AI agents, existing Azure and Databricks architecture and human review controls.
The solution reduced manual load by 80% and is being extended to support more than 200 retail clients across the UK.
CGI worked with Raisio to test two AI-based methods that automatically recognize and transfer order information into SAP, focusing first on the most manual sales-order processes.
This reduced human error, accelerated order processing and created a foundation to expand the solution into domestic and later international operations
CGI implemented a multi-agent AI solution for SOK Finance to automate high-volume financial administration and customer service processes using AWS Bedrock.
The solution improved operational efficiency and enabled employees to focus on higher-value customer requests requiring human expertise.
With more than 150 alliances across the technology ecosystem, CGI helps retailers access the cloud, data and AI capabilities needed to accelerate innovation, improve operational agility and scale AI with confidence.
Representative retail, consumer and services alliances include:
AWS
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Google Cloud
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Microsoft
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Snowflake
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Whether you are looking to improve profitability, strengthen customer loyalty, modernize omnichannel retail operations or build a foundation for generative AI in retail, we can help. Our experts work with you to identify high-value opportunities, strengthen trusted data foundations, embed responsible AI governance and scale solutions that deliver measurable business outcomes.
