Retailers are increasingly exploring how artificial intelligence can support business operations, from customer service and pricing to stock management and demand planning. However, general-purpose AI systems can struggle to interpret the specific terminology, data and processes used across retail businesses.
itimAIQ has been developed to address this issue by providing a retail context management layer between a retailer’s existing systems and its AI agents. The platform is designed to help businesses use AI while retaining control over their data and ensuring that outputs reflect the retailer’s own operating environment.
The system connects with existing retail technology, including point-of-sale, enterprise resource planning, customer relationship management, inventory and analytics platforms. It then provides the context needed for AI agents to interpret information in a way that is relevant to retail operations.
The platform is built around itim’s more than 25 years of retail experience and uses established retail terminology, industry taxonomies and pre-built data models. This is intended to address some of the limitations of general AI systems, which may struggle with fragmented data, inconsistent terminology and information that lacks sufficient business context.
A central feature of itimAIQ is its approach to data verification. Rather than passing unfiltered information directly to an AI agent, the platform applies data quality validation and context-aware checks. This is designed to reduce inaccurate outputs and provide AI agents with information that has been checked against relevant sources.
Retailers can also configure the platform around their own business requirements. Custom business rules, brand-specific information and proprietary data can be incorporated, allowing the AI agents to operate within the retailer’s existing processes rather than relying solely on general industry knowledge.
itimAIQ is designed to work with different AI models and agents, including GPT, Claude and Agentforce. Its model-agnostic architecture and support for the Model Context Protocol (MCP) are intended to allow retailers to connect the platform with their existing AI infrastructure. The company states that retailer data remains within the retailer’s environment.
itim Group plc (LON:ITIM) is a SaaS-based technology company that enables store-based retailers to optimise their businesses to improve financial performance and effectively compete with online competitors. Itim adds retail value by helping multi-channel retailers optimise their business and their stores to improve financial performance and compete more effectively with the “Amazons”.
