AI for Retail & E-commerce
Conversational AI that turns LINE chats into orders, and forecasting that keeps the right stock in the right branch.
About the industry
Thai shoppers buy through LINE chats, marketplaces, and stores, and every unanswered message is a lost sale. Behind the scenes, stock-outs and overstock tie up cash, and generic promotions rarely move repeat purchases.
In practice, AI in retail is a sales agent that turns LINE conversations into orders, forecasting that sets replenishment per SKU and branch, and recommendation models built on consented customer data. Your team handles returns and exceptions.
LINE agents that answer, recommend, and close
SKU-level forecasts and replenishment per branch
Recommendations on consented customer data
Thai and English product copy at catalogue scale
AI in action
Your data goes in, a model reads it, and a decision comes out with a record your team can audit.
Why AI, why now
Slow replies lose sales. An AI agent answers instantly and hands over at payment.
Store-level demand is noisy. SKU-level forecasts reduce both problems.
Personalised recommendations lift repeat purchase when built on your own customer data.
How we help
We are consultants first. We help you decide where AI lifts conversion and frees cash before any agent is built, and how to roll it out without hurting your brand.
Review chat volume, stock performance, and promotions to find the AI candidates worth funding.
Review catalogue, OMS, POS, LINE OA, and customer-data consent, and what must be cleaned first.
Rank use cases by conversion uplift, stock cost, and time to value.
Set agent tone and limits, PDPA consent for personalisation, and handoff rules.
Pilot on one channel or category, train teams, and agree the KPIs that decide scale-up.
How we work
Eight steps. You can stop after any of them and keep what we produced.
One sentence in the builder, or a call.
Architecture, stack, timeline, budget range.
30 minutes online with a senior consultant.
Data, systems, and constraints, on site or online.
A design your IT and security teams can sign off.
Fixed scope, milestones, and price in THB or USD.
Pilot in weeks, then production rollout.
Support, model monitoring, and new use cases.
What we build
Is the blue one in size M?
Yes, in stock · ฿1,290. Shall I add it and send the payment link?
Live stock · OMSGenerative AI with your catalogue, order status, and payment-link handoff.
LINE chats outgrow the team, and slow replies lose sales.
SKU-level forecasts that drive replenishment suggestions per branch.
Stock-outs and overstock across stores tie up cash and lose sales.
Recommendations and next-best-offer using purchase history and consented customer data.
Generic promotions underperform, and customers ignore offers that do not fit them.
Thai and English product descriptions drafted at catalogue scale, reviewed by your team.
Writing and tagging thousands of products by hand is slow and inconsistent across channels.
AI use cases
Outcome Higher chat-to-order conversion and lower support cost.
Outcome Fewer stock-outs and less cash tied up in inventory.
Outcomes describe what each solution is designed to improve. Figures appear only where they come from a delivered project. Results depend on your data, systems, and scope.
Responsible AI
FAQ
Yes. It answers product questions, checks stock and order status, and hands off to a payment link or a human at checkout.
Typically 12 to 24 months at SKU level gives a strong start. We assess your data first.
It is built on consented data with opt-out, retention limits, and logging.
Other industries
AI for Retail & E-commerce
Eight to twelve weeks.A measurable target on your own data.