Central Region · Applied AI
AI demand forecasting in One-North
For One-North operators who want a working pilot in weeks, not a year-long programme.
What AI demand forecasting actually does
Forecasts that account for school holidays, NZ weather, tourist seasons, and your own promo calendar. Order the right stock, roster the right hours, plan the next quarter with actual numbers.
We've worked with enough operators in One-North to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI demand forecasting project is sit with your team for a day before we propose anything.
- 01 Combines your sales history with weather, calendar, and event data
- 02 Per-SKU and per-store forecasts, not whole-business averages
- 03 Re-forecasts weekly as new data comes in
- 04 Explains the why behind every number
Built on: Prophet DuckDB Claude BigQuery Vercel
Why One-North businesses choose this
One-North is Singapore's dedicated biotech, media and tech research precinct – AI here is judged by researchers and engineers, not procurement teams.
What's different about doing this work in One-North.
Biopolis, Fusionopolis and a dense cluster of biotech, media and deep-tech startups sit inside one of the most concentrated research precincts in Asia. Businesses here expect AI built with real technical rigor, since many of them build AI themselves.
We work with teams across One-North: Biopolis · Fusionopolis · Mediapolis · Ayer Rajah · Buona Vista.
How we build AI demand forecasting for a One-North team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your One-North 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.
AI sales + stock forecasting.
The outcome for One-North teams
Stockouts down 35%, overstock down 22% in the first season. For One-North teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Stockouts down 35%, overstock down 22% in the first season.
AI demand forecasting in One-North – common questions
What's a typical engagement length for One-North businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Anyone else in this space using AI demand forecasting?
Plenty. Stockouts down 35%, overstock down 22% in the first season. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
Can you work with our existing systems?
Yes. The default AI demand forecasting stack we reach for is Prophet, DuckDB, Claude, BigQuery, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
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.