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We combine our deep industry strength in the consumer markets sector with Google Cloud’s AI and data capabilities to help businesses solve real-world challenges. As enterprises face mounting pressure to improve operations, enhance customer experiences, and drive profitability, we help deliver AI-driven solutions that can create measurable business impact.
With the advent of agentic AI, we help businesses address challenges in:
- Getting the data foundation right, allowing for more advanced AI use cases
- Agentic AI use cases:
- Inventory and supply chain optimization
- Hyper-personalized customer experiences
- Profitability and store operations
- Enterprise security and AI governance
Our offerings
- Setting the foundation: harmonizing and making your data interoperable
- Agentic AI: revolutionizing how retailers work
- Enterprise security and AI governance: safeguarding AI-driven retail
Setting the foundation: harmonizing and making your data interoperable
When we help clients with the business problems above, we often start with getting enterprise data into a single place that allows for clean interoperability between systems. Retailers, for example, often rely on multiple data sources housed in disparate systems that can limit ability to view the data holistically or apply the right agents.
Our team’s data harmonization and interoperability solution integrates these fragmented datasets into a unified, cloud-powered infrastructure, enabling seamless data exchange between systems. Our methodology is tested and sound. Our technical teams work closely with our transformation colleagues and client stakeholders to accelerate the value of a new data estate by helping solve end-to-end data estate questions, one business question at a time.
Our data value acceleration capability helps companies derive value from data by identifying the desired business outcomes and building data products and services on Google Cloud that effectively helps deliver those outcomes. Our process for delivering a capability can be summarized as:
- Defining a clear list of quantifiable business outcomes
- Determining the data products that are required to deliver the business outcomes
- Building the data ingestion, data platform and data products using Google Cloud services such as BigQuery, Dataflow, Dataplex, Cloud Composer and Vertex AI
- Connecting to or migrating from data platforms as needed (e.g. Master Data Management, Warehouse Management Systems, Product Information Management systems, Data warehouses, ERP, etc) to Google Cloud
Key benefits:
- Faster time to market with reports, analytics and data products
- The ability to leverage AI capabilities to help drive transformation
- Enhanced data quality
- Strengthened data security and governance
- Reduced infrastructure and maintenance costs
Agentic AI: revolutionizing how retailers work
Our collaborative approach helps retailers accelerate time to value through secure, enterprise-grade solutions that can adapt quickly to market demands.
As a launch partner for Google’s AgentSpace, we’re enabling strong agentic use cases for a seamless experience within the platform. We’re also integrating these capabilities into our own multi-cloud agentic capabilities —improving coordination with data sources and agents residing in non-Google environments.
Here are just a few examples of agentic retail-focused use cases that we’re developing with our clients:
- Inventory management – Real-time stock monitoring, automated restocking, and demand forecasting
- Advanced, automated contact centers – Conversational agents for 24/7 customer assistance, personalized promotions, and efficient returns processing
- Store operations – Intelligent staffing, dynamic pricing, and shrinkage prevention
- Hyper personalization - Context aware customer contact at scale
- New consumer insights - Faster trend detection, unified view of customer behavior
Key benefits of agentic AI solutions:
- Faster time to value – Pre-built AI agents help accelerate deployment and drive rapid business impact.
- Seamless multi-cloud integration – Our orchestration capabilities connect agents across Google and non-Google environments.
- Enhanced decision-making – AI-driven insights enable smarter inventory management, pricing, and customer engagement.
- Scalable and secure AI – Enterprise-grade governance improves compliance, security, and Responsible AI adoption.
- Personalized customer experiences – AI-powered automation enhances interactions, fostering loyalty and boosting sales.
Enterprise security and AI governance: safeguarding AI-driven retail
As retailers adopt AI to enhance operations and customer experiences, security and governance become important. Our team leverages their unique insights and Google Cloud’s technology to provide enterprise-grade security frameworks that enable AI agents to operate safely, transparently, and in compliance with regulatory requirements.
AI-powered security in retail
- Threat detection and response – AI-driven monitoring for fraud prevention, payment security, and cyber threat mitigation.
- Policy-driven governance – Automated enforcement of security policies to maintain compliance across cloud environments.
- Data protection and privacy – Enabling AI agents to handle sensitive customer and operational data responsibly.
Our AI security leadership
As a strategic collaborator for Google Cloud Security, we help extend security beyond Google environments, leveraging multi-cloud orchestration and compliance expertise. Our capabilities integrate AI governance, secure access controls, and continuous security monitoring to safeguard retailers from evolving threats.
By embedding security at each layer of AI adoption, our team helps enable retailers to scale agentic AI solutions confidently — improving trust, resilience, and regulatory compliance in an AI-driven future.
“We remain steadfast in leveraging our deep industry knowledge and Google Cloud experience to help deliver transformative, AI-driven solutions that address real business challenges—particularly in the areas of data, security, and innovation—to create lasting value for our clients.”
Lokesh Madaan{{filterContent.facetedTitle}}
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