California · Applied AI
AI demand forecasting in Fresno
AI demand forecasting that lives in your stack, not on a vendor's roadmap. Shipped from California.
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.
The reason we take on work in Fresno is that the businesses here tend to be sharper about what they want than the brief lets on. AI demand forecasting for a Fresno team almost always ends up looking different to AI demand forecasting for a downtown Auckland one.
- 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 Fresno businesses choose this
Fresno is the commercial hub of the Central Valley, the most productive agricultural region in the country – AI here means turning harvest and logistics data into decisions.
Our field notes from Fresno builds.
Almonds, grapes and a huge share of the nation's produce move through Fresno's agribusiness and packing economy. Fresno businesses want AI that handles forecasting, logistics and seasonal staffing without a Silicon Valley budget.
We work with teams across Fresno: Downtown Fresno · Tower District · Clovis · Fig Garden · Woodward Park · Sunnyside.
How we build AI demand forecasting for a Fresno team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Fresno 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 Fresno teams
The shape of the result for Fresno 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 Fresno – common questions
How fast could we have AI demand forecasting in production?
Eight to ten weeks for most Fresno businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Fresno businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
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.
What if our Fresno doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI demand forecasting specifically, we typically run that work on Prophet, DuckDB, Claude, BigQuery, Vercel and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.