Turning product truth into commercial action.
metaFora helps retailers and brands turn fragmented product data into governed product intelligence that supports more personalised customer journeys, more granular insight and safer, more precise retail media activation.
Delivered through SaaS APIs, packaged services and integration-light consumption models. We connect customer needs, product truth and commercial action through a governed approach that combines AI acceleration with deterministic logic, explicit reasoning and traceable outputs.
Most retail organisations manage customer, product and commerce in different systems, teams and workflows. Product data is still largely created for operational and supply-chain purposes, while customer needs and commercial priorities sit elsewhere.
The result is a disconnect. Product data may be sufficient for operational management, but not rich, reliable or interpretable enough to support discovery, suitability, personalisation, basket guidance, audience creation, monetisation or other higher-value uses.
metaFora addresses that gap by turning fragmented product data into governed product intelligence that gives the business a more unified, customer-relevant and commercially actionable view of each product.
metaFora cleanses, structures, standardises, validates, classifies and enriches raw product data to create a more accurate and customer-relevant understanding of each product.
The model combines AI-assisted knowledge capture with deterministic logic, standards-aware rules and traceable reasoning so outputs are more consistent, auditable and dependable.
The resulting intelligence can be used across customer journeys, colleague-facing insight, decision services, compliance workflows, audience creation, eligibility logic and retail media enablement.
metaFora creates value by making product data more usable to customers and more actionable for the business.
More personalised customer journeys — better discovery, suitability, alternatives, alerts and guided support.
More granular insight — richer visibility across category, basket, segment, compliance, health and sustainability.
Safer, more precise retail media enablement — better audience granularity, eligibility logic, guardrails and traceability.
Stronger product truth and trust — validation, claim checking, exception handling and explainable outputs.
Lower integration friction — SaaS APIs, packaged services and integration-light adoption paths.
Better readiness for AI-mediated commerce — cleaner, structured and enriched product data that is more visible, interpretable and selectable.
metaFora is not just an enrichment or tagging service. Its differentiation comes from combining governance, product truth, customer relevance and actionability in one practical model.
Governed, not generic — metaFora combines GenAI where it accelerates with deterministic logic where precision, traceability and consistency matter most.
Product truth, not just tagging — the model supports validation, claim checking, exception handling, rankings and decision signals rather than shallow labels.
Customer-centric, not supply-chain-centric — the intelligence layer is designed around how customers search, verify, compare, choose and act.
Actionable across the business — the same product-truth layer can support personalisation, insight, compliance, colleague decision-making and retail media enablement.
Governance runs across the whole flow rather than sitting as a single isolated step.
Cleansing, structuring and standardising
Data quality, completeness, consistency and claim checking
Industry-standard classifications and taxonomies where relevant
Customer-centric attributes, rankings and decision signals
Personalisation, insight, customer dialogue and retail media enablement
Create a governed intelligence layer from fragmented product data, producing validated product truth and decision-ready outputs.
Support more personalised customer journeys through better discovery, filtering, suitability, alternatives, alerts and guided decision support.
Generate more granular insight across category, range architecture, compliance, health, sustainability, segments and baskets.
Create more granular, policy-safe audiences, reduce setup friction, add guardrails and improve traceability for retail media activation.
Start with a focused catalogue assessment to identify use cases, assess readiness, surface gaps and create a practical roadmap.
Richer filters, broader discoverability and better sorting
Suitability, warnings, claim checking and clearer product understanding
Alternatives, recommendations and more relevant suggestions
Basket benchmarking, swaps, recipes and future-oriented support
Alerts, profile-led guidance, campaigns and personalised relevance
metaFora uses GenAI where it adds speed and flexibility to knowledge capture, normalisation and design-time intelligence creation. At runtime, deterministic logic and explicit reasoning structures are used where precision, traceability and consistency matter most.
This governed approach helps reduce hallucination risk, improve explainability, increase runtime dependability and provide a more cost-aware model for repeatable decision services.
metaFora was founded by Qusai Sarraf, who was a member of the original seven-person team that launched Tesco.com in 1996 and brings decades of experience across retail transformation, product information, SaaS and governed AI.
The current venture builds on that experience and on prior work in product enrichment, semantic reasoning and retail decision support, while focusing metaFora itself on a modern Governed Product Intelligence proposition.
Talk to metaFora about governed product intelligence, discovery engagements, personalised journeys, decision services and retail media enablement.