AI Online retail

[Client] — AI customer support assistant

Client

[Client name]

Industry

Online retail

The challenge

[Describe the client's problem in 2–3 sentences. For example: the support team spent most of the day answering the same delivery and returns questions by email.]

[Why it mattered: slower replies, missed sales, team overloaded.]

Our solution

[What you built and how. For example: a RAG chatbot trained on product guides and policies, connected to the store's order system, with hand-off to staff on WhatsApp.]

Knowledge base

product guides, FAQs and policies indexed securely.

Live order lookup

connected to the store via API for real-time status.

Human hand-off

tricky questions routed to staff with full context.

The results

[X%]

[Result — e.g. fewer support emails]

[X]

[Result — e.g. questions answered per month]

[X hrs]

[Result — e.g. staff time saved weekly]

“[Client testimonial — one or two sentences about working with Tri H Tech and the result.]”

[Name][Role], [Client name]

Tech used Laravel OpenAI PostgreSQL + pgvector WooCommerce API DigitalOcean

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