Product and policy answers
Ground assistance in approved catalogue information and current policies. Use authorised integrations for live stock, order or account data.
NOVACOM / DELIVERY
Help shoppers find answers and teams handle repetitive work.
For retailers improving product discovery, customer enquiries and digital experiences. We connect AI to approved product information and practical shopping workflows, including virtual try-on exploration.
WHAT WE BUILD TOGETHER
Visual shopping experiences
Explore a fashion try-on canvas with a clearly defined product set and visual-quality tests. Generated previews do not guarantee fit or exact appearance.
Support that can scale
Use voice or text agents for suitable enquiries, with human handover and evaluation against real customer needs.
UNDERSTAND THE ENGAGEMENT
What it is.
How we deliver it.
What you are buying
Retail AI is most useful when it helps a shopper or employee complete a specific task: discover a product, understand a policy, resolve an enquiry or explore a visual shopping experience. We connect the experience to an authoritative source and a measurable outcome.
Where it is useful
A retailer might begin with approved catalogue questions, support intake or a virtual try-on canvas. Novacom has worked on a fashion AI try-on canvas for a clothing retailer; that engagement is confidential and no commercial performance figures are claimed here.
What a delivery scope can include
We define the product collection, customer journey and source-update process. Live order or stock information requires authorised commerce integrations. For visual experiences, representative product and user cases inform evaluation; for conversational experiences, we define handover and out-of-scope requests.
What to bring to discovery
- Approved product information and customer-service policies
- Representative shopping or support journeys
- Commerce integrations and permission requirements
- Visual-quality or service-quality criteria and baseline analytics
How we evaluate the result
Test whether customers can complete the intended journey, whether information matches the source and whether failure states are understandable. Measure conversion with real analytics where appropriate, alongside support resolution and correction effort. Avoid treating conversation volume as proof of business value.
Decisions to make early
Generated try-on imagery does not guarantee fit, fabric behaviour or exact physical appearance. Availability, price and customer-specific actions must come from current authorised systems. Product promises and rollout scope are validated with the retailer.
BUILD YOUR UNDERSTANDING
Useful reading before we talk.
Private AI & RAG · 3 MIN
Explore all services ↗What is RAG? A practical guide to AI that uses your company knowledge
Learn how retrieval-augmented generation works, where it helps, and how to test an assistant against your own documents.
Build with AI · 3 MINHow to build an app with AI: from an idea to a tested workflow
Turn a business problem into a brief, a working slice and a verified application, with clear data and deployment decisions.
AI for business & the GCC · 3 MINWhat can your company do with AI? Practical examples by industry
Explore retail, logistics, professional services, property and government workflows, with data needs and sensible success measures.
A LITTLE MORE CLARITY
Good questions.
Clear answers.
Have you worked on fashion AI?+
Novacom has worked on a fashion AI try-on canvas for a clothing retailer. The client identity and project details are confidential; we do not publish unverified performance figures.
What should a retailer measure?+
Choose measures for the actual workflow: successful product discovery, enquiry resolution, repeat contacts and correction effort. Assess conversion with real analytics rather than assuming any AI feature increases sales.
DISCUSS YOUR FIRST USE CASE