Retail Operations and Personalisation

Make the Catalogue Easier to Run and Easier to Buy From.

Support retailers with cleaner product data, smarter inventory visibility, pricing workflows, recommendations, and integrations that improve operations and customer experience.

Commerce Intelligence Platform planning diagram for Brownsmith Dynamics

Commerce Intelligence Platform

Managed or Private

  • Supports catalogue, inventory, pricing, recommendations, and merchandising workflows
  • Integrates with ecommerce platforms, ERPs, spreadsheets, and internal tools
  • Improves operational efficiency while keeping pricing and merchandising accountable

Modules

Commerce Intelligence Platform Modules

The platform is configured around the retailer's catalogue, inventory systems, pricing rules, customer journey, and fulfilment constraints.

Product Recommendations
Catalogue Builder
Inventory Intelligence
Dynamic Pricing Support
ERP and Ecommerce Integration
Merchandising Reports

Business Case

Fix the Operational Layer Behind the Storefront.

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.

Cleaner Catalogue

Standardise titles, attributes, descriptions, categories, media, variants, and merchandising tags.

Inventory Clarity

Surface stock movement, low inventory, ageing stock, demand signals, and fulfilment constraints.

Better Discovery

Recommend relevant products based on rules, behaviour, availability, margin goals, and customer context.

  • Useful for retailers outgrowing manual catalogue and inventory operations
  • Can work with Shopify, custom ecommerce, ERP exports, spreadsheets, or PIM-style data
  • Can begin with catalogue cleanup before recommendations or pricing workflows

Workflows

Connect Catalogue, Stock, Pricing, and Merchandising.

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.

Catalogue Operations

Create, clean, enrich, classify, and publish product data across channels.

Inventory Intelligence

Monitor stock levels, slow-moving products, replenishment needs, and fulfilment risk.

Pricing and Recommendations

Support price review, promotion planning, product recommendations, and personalised discovery paths.

  • Can integrate with ecommerce platforms, ERPs, spreadsheets, product feeds, and analytics
  • Can support B2C, B2B, catalogue-heavy, or multi-location retail models
  • Can produce merchandising dashboards and operational alerts

Implementation

Product Data Comes Before Personalisation.

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.

Catalogue Audit

Review product fields, categories, variants, images, descriptions, availability, and channel requirements.

Integration Plan

Connect ecommerce, ERP, PIM, inventory, analytics, and reporting sources where useful.

Module Rollout

Launch catalogue cleanup, inventory dashboards, pricing support, or recommendations in phases.

  • Works best when product data ownership is clear
  • Can add customer-facing recommendation widgets or internal merchandising tools
  • Can support managed, private, or hybrid deployment depending on data sensitivity

Control

Keep Commercial Rules Visible.

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.

Pricing Review

Route price changes, discount logic, and promotion suggestions through authorised approval.

Recommendation Rules

Respect stock, margin, category, eligibility, compliance, and merchandising constraints.

Audit Trail

Track catalogue changes, pricing updates, recommendation logic, and operational alerts.

  • Built for real retail operations, not only storefront decoration
  • Can support internal operations first, then customer-facing experiences
  • Keeps commercial owners in control of pricing and merchandising

Pricing

Scoped Around Data, Integrations, and Control.

Pricing depends on the deployment model, number of integrations, data preparation, workflow complexity, governance needs, and ongoing support expectations.

Discovery and Solution Design

Workflow mapping, system inventory, data review, access planning, risk controls, and the first implementation plan.

Implementation Build

Configuration, custom development, integrations, prompts or retrieval flows, dashboards, testing, and handoff documentation.

Managed Operation

Hosted operation, monitoring, backups, workflow updates, model usage review, and small improvements after launch.

Usage and Model Costs

Variable cost driven by message volume, document volume, model choice, refresh cadence, data size, and automation frequency.

Optional Change Requests

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