Cleaner Catalogue
Standardise titles, attributes, descriptions, categories, media, variants, and merchandising tags.
Support retailers with cleaner product data, smarter inventory visibility, pricing workflows, recommendations, and integrations that improve operations and customer experience.

Commerce Intelligence Platform
Managed or Private
Modules
The platform is configured around the retailer's catalogue, inventory systems, pricing rules, customer journey, and fulfilment constraints.
Business Case
Retail growth suffers when product data is inconsistent, inventory signals are late, pricing changes are manual, and recommendations do not reflect real availability.
This platform connects catalogue, inventory, pricing, recommendations, and merchandising workflows so the store becomes easier to operate and easier for customers to navigate.
Standardise titles, attributes, descriptions, categories, media, variants, and merchandising tags.
Surface stock movement, low inventory, ageing stock, demand signals, and fulfilment constraints.
Recommend relevant products based on rules, behaviour, availability, margin goals, and customer context.
Workflows
The platform supports the work behind product discovery and retail operations.
Product data, inventory feeds, customer events, pricing rules, promotions, merchandising priorities, and reporting can be brought into a shared operating layer.
Create, clean, enrich, classify, and publish product data across channels.
Monitor stock levels, slow-moving products, replenishment needs, and fulfilment risk.
Support price review, promotion planning, product recommendations, and personalised discovery paths.
Implementation
Recommendations and pricing workflows fail when catalogue and inventory data are unreliable.
We start by reviewing product data, variant structure, stock sources, fulfilment process, pricing rules, and customer journey before enabling higher-level intelligence.
Review product fields, categories, variants, images, descriptions, availability, and channel requirements.
Connect ecommerce, ERP, PIM, inventory, analytics, and reporting sources where useful.
Launch catalogue cleanup, inventory dashboards, pricing support, or recommendations in phases.
Control
Pricing, availability, and recommendations should reflect business priorities, not opaque automation.
Controls include pricing approval, stock-aware rules, margin guardrails, product exclusions, audit logs, and merchandising review so commercial decisions remain accountable.
Route price changes, discount logic, and promotion suggestions through authorised approval.
Respect stock, margin, category, eligibility, compliance, and merchandising constraints.
Track catalogue changes, pricing updates, recommendation logic, and operational alerts.
Pricing
Pricing depends on the deployment model, number of integrations, data preparation, workflow complexity, governance needs, and ongoing support expectations.
Workflow mapping, system inventory, data review, access planning, risk controls, and the first implementation plan.
Configuration, custom development, integrations, prompts or retrieval flows, dashboards, testing, and handoff documentation.
Hosted operation, monitoring, backups, workflow updates, model usage review, and small improvements after launch.
Variable cost driven by message volume, document volume, model choice, refresh cadence, data size, and automation frequency.
Additional modules, new departments, extra reports, more integrations, custom security rules, or migration support.
Commerce Intelligence Platform is built as a configurable product base, then adapted to the client's data, workflows, software stack, and approval requirements.
Scope Commerce Intelligence