New Territories · Applied AI
AI data analytics in Sha Tin
For Sha Tin operators who want a working pilot in weeks, not a year-long programme.
What AI data analytics actually does
Stop digging through dashboards. Ask plain-English questions of your sales, jobs, and customer data – get charts, summaries, and the why behind the numbers in seconds.
Most of our Sha Tin engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI data analytics is then designed against the detail, not the shape.
- 01 Natural-language queries over your Xero, Shopify, CRM data
- 02 Weekly auto-summaries delivered to inbox or Slack
- 03 Anomaly detection – flags weird weeks before you notice
- 04 Forecasts that explain themselves, not black boxes
Built on: DuckDB Claude Metabase BigQuery Vercel AI SDK
Why Sha Tin businesses choose this
Sha Tin anchors the New Territories' manufacturing, logistics and science park economy – AI here means industrial-scale operations work, not office admin.
The Sha Tin context, plainly.
Hong Kong Science Park and a broad manufacturing and logistics base serving cross-border trade with mainland China sit here. Businesses want AI that handles scheduling, compliance and cross-border logistics without becoming the bottleneck.
We work with teams across Sha Tin: Science Park · Tai Wai · Fo Tan · Ma On Shan.
How we build AI data analytics for a Sha Tin team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Sha Tin business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
Ask your data in English.
The outcome for Sha Tin teams
What changes for Sha Tin teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Owners check the business in 2 minutes instead of 2 hours.
Owners check the business in 2 minutes instead of 2 hours.
AI data analytics in Sha Tin – common questions
How long does AI data analytics take to ship for Sha Tin businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Sha Tin businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
How do you price AI data analytics engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Sha Tin businesses are surprised how small the first cheque is.
What's the realistic outcome for Sha Tin businesses?
Owners check the business in 2 minutes instead of 2 hours. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Who owns the code and the model setup?
You do, on delivery. We deploy AI data analytics into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. DuckDB sits in your account too – we don't operate it from ours.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.