Central Business District · Applied AI
AI demand forecasting in Singapore
AI sales + stock forecasting, built for businesses operating in Singapore.
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 Singapore 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 Singapore businesses choose this
Singapore has one of the highest AI adoption rates in the world, and the CBD runs on banking, wealth management and regional HQ operations – AI here has to meet a market that's already fluent in it.
Why Singapore businesses are a fit for this.
Home to the regional headquarters of most major global banks and a dense wealth management sector, sitting inside a government that's pushed AI adoption harder than almost any other country. Singapore businesses expect AI that's precise, compliant and genuinely production-ready, not a pilot.
We work with teams across Singapore: Raffles Place · Marina Bay · Shenton Way · Tanjong Pagar · City Hall.
How we build AI demand forecasting for a Singapore team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Singapore 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 Singapore teams
The shape of the result for Singapore teams: Stockouts down 35%, overstock down 22% in the first season. Built on Prophet, hardened with the rest of the stack as it scales.
Stockouts down 35%, overstock down 22% in the first season.
AI demand forecasting in Singapore – common questions
How long does AI demand forecasting take to ship for Singapore businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Singapore 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 demand forecasting 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 Singapore businesses are surprised how small the first cheque is.
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.
Who owns the code and the model setup?
You do, on delivery. We deploy AI demand forecasting into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Prophet sits in your account too – we don't operate it from ours.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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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.