Cleaner Catalogue
Standardise titles, attributes, descriptions, categories, media, variants, and merchandising tags.
Commerce Intelligence Platform: 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
Self-Hosted or Managed
- 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
Cost Structure
Build It Once. Run It Yourself.
One-Time Implementation
From $4,200
Product Foundation
$0
Direct Running Costs
Paid to Providers
Ongoing Brownsmith Work
Optional
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.
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
Workflow Fit
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 Plan
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 Model
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
What Brownsmith Dynamics Adds
Configured Intelligence, Shaped Around Your Business.
The system runs on infrastructure you control and connects to model providers you choose. Brownsmith Dynamics supplies the implementation layer that turns a capable general agent into Commerce Intelligence Platform: a system prepared for your terminology, procedures, tools, permissions, and review standards.
Workflow Architecture
We map the real sequence of work: inputs, decisions, tools, exceptions, approvals, outputs, and ownership. The resulting agent follows an operating design instead of improvising from a broad prompt.
Operational Knowledge Engineering
We translate procedures, policies, examples, terminology, and quality checks into a structured operating context the system can apply when each task requires it.
Deployment and Integration
We configure the VPS, domain, access, model providers, tools, APIs, storage, interface, backups, logs, and update path as one maintainable environment.
Control and Improvement
We test realistic tasks, define approval boundaries, inspect failures, revise skills, and document changes so the implementation becomes more reliable through use.
Compared With a Generic Chat Account
ChatGPT and Claude begin with broad model capability. This implementation adds a persistent working environment, reusable procedures, connected tools, company context, approval rules, operational ownership, and a specialist who maintains the whole system as the workflow changes.
Model quality still matters. The advantage comes from combining that model with a well-engineered operating context, tested procedures, relevant access, and ongoing maintenance.
Product perspective
Read More About the Product
Explore how Commerce Intelligence Platform uses human-first automation to reduce repetitive work, preserve context, and give people more capacity for judgement.