Colorado · Applied AI
AI demand forecasting in Denver
Built and supported here – the way a Denver business would actually use it.
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 Denver 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 Denver businesses choose this
Denver runs on a fast-growing tech and services economy layered on top of energy and outdoor recreation industries – AI here means keeping pace with one of the country's fastest-growing business populations.
Where Denver operators actually lose hours.
A growing tech and startup scene, an energy sector rooted in the Rockies, and a booming outdoor recreation and hospitality economy. Denver businesses want AI that scales as fast as the city's population has.
We work with teams across Denver: Downtown Denver · LoDo · Cherry Creek · Boulder · Aurora · Lakewood.
How we build AI demand forecasting for a Denver team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Denver 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 Denver teams
We'd call the engagement a success when Denver teams are using the system without thinking about us. Stockouts down 35%, overstock down 22% in the first season.
Stockouts down 35%, overstock down 22% in the first season.
AI demand forecasting in Denver – common questions
How long does AI demand forecasting take to ship for Denver businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Denver 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.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
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.
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.