Industries

Retail and Commerce

Private models for merchandising and planning, on data that never leaves the business.

Overview

Retail and commerce run on products, stock and customers spread across stores, warehouses, web stores and marketplaces. Merchandising and planning teams decide what to buy, where to send it and when to mark it down, usually from exports that disagree. Generative AI could help, but the data it needs is exactly the data the business cannot hand to a public tool.

Opsian deploys private models inside the business, grounded in its own product, supplier and sales data, with access controlled by business unit and an evaluation harness before anything reaches a buyer or planner. Products and stock resolve to one live record across channels, agents propose allocations and markdowns inside agreed limits, and every recommendation keeps the data behind it.

What we solve

AI pilots that cannot touch real data

Buying, pricing and supplier data cannot go to public AI tools, so pilots stall or staff paste it in anyway.

One product, many descriptions

The same item carries different codes, attributes and prices in the ERP, the web store, marketplaces and the tills.

Stock that is only true overnight

Store and online inventory update in nightly batches, so planners work from yesterday and customers order items that are not there.

Planning in personal spreadsheets

Allocation, markdown and replenishment calls are made in spreadsheets on individual laptops, so nobody can see why a decision was made or repeat it.

Products and services

Point of sale

Available by engagement

Stoa

Orders, payments, inventory and staff for restaurants, retail, spas and hotel outlets, with charges posted to guest rooms and daily sales sent to accounting.

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Enterprise automation

AI Agents

AI agents for calls, guest messages, complaints, reviews and follow-ups that act through scoped, rate-limited and logged tools, inside limits the operator sets.

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AI engineering

Large Language Models

Private language models grounded in company documents and systems, with fine-tuning, evaluation and guardrails, deployed where your data is allowed to live.

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Data and analytics

Data Intelligence

Pipelines, warehouses and dashboards that turn operational data into decisions, with forecasting, anomaly detection and every figure traceable to its source.

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Integration

Automation and Integration

PMS, ERP and CRM integration, APIs and middleware, process automation and legacy modernisation, so work moves between systems without being typed in twice.

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Infrastructure

Data Centers

AI-ready compute planned, built and operated on premise, in colocation or across a hybrid cloud, with capacity, networking, storage and monitoring designed together.

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Operations

Managed AI Operations

Monitoring, on-call support, model evaluation, drift detection, updates and patching for AI systems in production, under a service level agreement.

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Security

Cyber Security

Security assessments, identity and access control, monitoring and incident response for the systems that hold identities, payments and operational data.

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Audit

Auditing

A structured examination of the operation, its data, security and systems, delivered as a document you own and are free to take to another builder.

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Advisory

Consulting

Strategy, architecture and governance advice for leadership teams, starting with an audit delivered as a document you own and are free to take elsewhere.

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Outcomes

  • Private models that keep product and sales data inside the business
  • One live record for every product and stock position
  • Allocation and markdown proposals that show their reasoning
  • Stores, web and marketplaces selling from the same stock
Talk to us about Retail and Commerce