AI-first commerce is designed for how people shop and make decisions today.
OpenTeQ creates AI-driven retail and e-commerce solutions for traditional retailers, digital brands, and omnichannel businesses. Our approach gives you unified platforms that bring all your channels together, smart shopping experiences that help your customers, and supply chains that get inventory where it needs to be before it's needed. Everything is managed by the OQ Standard.
The IT partner for retailers whose year is decided in six weeks
Retail IT rarely fails on technology. It fails on inventory updating to a schedule set when volume was lower, an order promise the systems behind checkout cannot keep, an architecture sized for peak that you pay for in February, and a trading freeze that closes the window for anything meaningful.
OpenTeQ works inside those constraints. We build order orchestration across channels, warehouses, and stores, engineer commerce platforms for the day that matters, and run capacity modelling before the season starts. AI handles demand forecasting, catalogue enrichment, and service agents that resolve rather than deflect, with human review on anything customer-facing.
Behind the storefront.
Commerce and order management at the top, data and operations beneath, security and modernization holding it together. AI has its own section below.
Order Management & Fulfilment
One promise, kept across every channel.
Orchestration across channels, warehouses, and stores so the availability promise made at checkout is the one the customer experiences. Almost every visible retail failure traces back to an order management gap rather than to the storefront.
Commerce Platform Engineering
Built for the day that matters.
Storefront and checkout engineering, headless architecture, and the performance work that decides conversion on a slow connection.
Inventory & Product Data
Accuracy the business can act on.
Near real-time inventory position and governed product data across channels, so merchandising, operations, and finance work from one picture rather than three exports.
Customer Data & Personalization
Built on your own transactions.
Customer data platforms, identity resolution, and segmentation grounded in what people actually bought rather than in a generic engine.
Analytics & Merchandising Insight
Decisions before the season, not after it.
Governed reporting across sales, margin, and returns, so trading decisions are made on numbers everyone agrees on while there is still time to act on them.
Store & POS Systems
The channel that still sells the most.
POS integration, clienteling tools, and the store operations systems that connect physical and digital inventory.
Peak Readiness & Performance
Load testing before it matters.
Capacity modelling, load testing, and game days ahead of trading season, plus the autoscaling design that keeps off-peak months affordable.
Cybersecurity & Payments
Card data and customer trust.
PCI scope reduction, fraud controls, and the security posture a payment processor and a customer both depend on.
Managed Services & Support
Coverage through the season.
Application support and monitoring under an SLA, with escalation and freeze policies designed around trading calendars.
Where AI moves a retail number.
Retail has enough transaction history to make classical models work well and enough public exposure to make a wrong answer expensive. These five earn their place because the payback is measurable and the failure mode is contained.
Demand Forecasting & Allocation
The model that decides the season.
Forecasting across sales history, seasonality, promotions, and constraints, feeding allocation and replenishment. Less discussed than generative AI and consistently the larger prize in retail.
Product Content Generation
Catalogue scale, brand voice.
Descriptions, attributes, and enrichment across large catalogues, with editorial review on what publishes.
Customer Service Agents
Resolution, not deflection.
Order, returns, and delivery enquiries resolved end to end, escalating cleanly when a case needs a person.
Search & Discovery
Find it the way customers ask for it.
Natural language search and merchandising over catalogue and inventory data, tuned against conversion rather than relevance scores alone.
Returns & Fraud Signals
The margin leak nobody watches.
Models over returns behaviour and order patterns that flag abuse without punishing good customers, tuned to your own tolerance.
Four categories, four different pressures.
A grocery chain and a direct-to-consumer brand share a checkout and almost nothing else in how they make money. Select yours.
Multi-Channel Retailers
Stores and digital competing for the same inventory, with an ERP that was never designed for either to see the other in real time.
Ready to put AI to work before the next peak?
Most retailers can name the system they are worried about. Tell us which one and what happened last season, and we will tell you whether it is fixable before this one.
Accredited on the platforms retailers already run
Retail estates span commerce, order management, ERP, and the data layer beneath them. We hold standing practices with the platform and cloud providers your stack already depends on, so integration and peak readiness start from an accredited foundation rather than a discovery exercise.
