Catalogue accuracy
Retail & Omnichannel Commerce
Give AI shopping experiences accurate product information and assess the route from recommendations to orders across your catalogue and markets.
Industry priorities
Retailers need accurate products and a route to purchase. Publishers need a clear position on access and content value. Regulated businesses need information that preserves the conditions behind the answer.
Explore the commercial questions, consulting work and internal readiness priorities for your industry.
Explore your industry
Catalogue accuracy
Give AI shopping experiences accurate product information and assess the route from recommendations to orders across your catalogue and markets.
Content and rights
Decide who can access your journalism, archives and data, on what terms, and where licensed access can support your business.
Product accuracy
Identify material errors in AI-generated product information and plan accountable adoption across customer and colleague journeys.
Current collections
Assess how AI presents your collections, styling and product information, then plan changes that support accurate discovery and your brand standards.
Category consideration
Assess how AI recommends your products for real needs and occasions, then improve the data connecting brand discovery with retail availability.
Projects and quantities
Assess how AI recommends materials, tools and quantities, then improve the information behind project-led shopping and trade support.
Accurate travel offers
Assess how AI recommends your properties, routes and experiences, then plan the data and distribution changes behind reliable booking journeys.
Buyer and vendor fit
Assess how AI compares your capabilities and integrations, then prepare your documentation and products for buyers and authorised agents.
Location and serviceability
Assess coverage, tariffs and service information, then plan improvements across AI discovery, sales and colleague workflows.
Cover and conditions
Assess product representation and permissioned underwriting or claims workflows, then prioritise changes with clear review and ownership.
Audience and intended use
Assess how AI represents your services, evidence and approved information, and identify suitable workflows for accountable adoption.
Ingredients and formulations
Assess how AI describes your ingredients, benefits and intended use, then improve approved information across your products, markets and channels.
Customer information
Assess customer information and suitable operational workflows, with clear ownership of data, decisions and reliability requirements.
Licensed markets
Assess how AI describes your operators, games and customer terms, then prioritise changes across brands and licensed markets.
Event and market context
Assess how AI describes your sportsbook, markets and settlement rules, then prioritise improvements across customer journeys and licensed markets.
Across business units
A retail group may want wider product discovery while protecting customer records. A publisher may restrict training access and still explore licensed retrieval. The same organisation can support internal adoption while limiting automated customer actions.
We scope the work by asset, audience, market and business objective, with the teams responsible for each decision.
Signal → Evidence → Action
Tell us the industries, markets and business units involved. We can discuss a first assessment around your commercial priorities.