AI inretail and e-commerce
Retail margins leave little room for manual work, and customers now ask AI assistants what to buy before they ever reach your site. AI helps with both sides: getting recommended, and running the busywork behind every order.
Where AI helps
What we can build for a retail and e-commerce business, each one from a service we already run.
Visibility in AI answers
Track how ChatGPT, Perplexity and Gemini describe your brand against competitors, and fix what they get wrong. This is what QueryOn does.
Machine learningCustomer service
Order status, returns and product questions answered from your own catalogue and policies, with a person taking over for complaints.
Smart chatbotsDemand forecasting
Forecasts built on your own sales history, seasonality and promotions, so buyers order with evidence rather than habit.
Machine learningProduct content and outreach
Drafts listings, campaign copy and personalised outreach at volume. Your team sets the voice and approves what goes out.
Agentic AIWhat we are building
Products of our own for retail and e-commerce. The ones still in development are marked; ask and we will tell you where they are.
QueryOn
LiveAnswer-engine optimization, on autopilot.
Track and win how ChatGPT, Perplexity, Gemini, Claude and DeepSeek recommend your brand, then ship the content and technical fixes automatically.
Kavio Signal
In developmentThe AI-native go-to-market engine.
Find your ideal customers, enrich them with AI, and run personalised outreach on autopilot. The growth engine that turns AI visibility into real pipeline.
What good looks like in Singapore
Examples of AI applied well by others, from published public programmes. They show the kind of thinking we bring. They are not projects we delivered.
A roadmap for AI in small retailers
Public example. The Retail Industry Digital Plan, refreshed by Enterprise Singapore and IMDA in 2026, guides SME retailers through AI tools for customer service, demand forecasting and marketing content.
Pattern. Start at a business touchpoint, front of house or back of house, not with a technology.
For you. One touchpoint chosen, fixed properly, and measured.
Source: enterprisesg.gov.sg(opens in a new tab)Connecting SMEs to validated providers
Public example. AI4SME, a platform linking SMEs to validated AI solution providers.
Pattern. The hard part is not the tool, it is matching the tool to the problem.
For you. A scoped diagnosis before anyone writes code.
Source: smartnation.gov.sg(opens in a new tab)Your version of this is smaller, and that is fine
None of the above needed a national budget to be the right idea. Tell us the process you would apply it to, and we will tell you whether AI is the right tool.