Built for
Retail.
Forecast the demand. Route the inbox. Sleep better through the long weekends.
For retail operators where the difference between a good month and a bad one is whether the right SKU was on the shelf and whether the support inbox was triaged before lunch. We have shipped both — forecasting models for revenue planning and LLM-based ticket triage for support teams.
What we have shipped in retail.
SaaS · Client work
Sales Forecasting Ensemble
Quarterly revenue predictions for a SaaS startup
- forecast error
- 22% → 8%
- backtest window
- 12 months
- used in Series A
- yes
Read the case study →
E-commerce · Client work
Support Ticket Triage Classifier
Auto-routing inbound customer messages by intent + urgency
- mis-routes
- 12% → 3%
- CSAT change
- +8 points
- first response time
- 4h → 18min
Read the case study →
The capabilities behind the work.
01 · Custom AI
transformativeCustom AI & Machine Learning
AI built around your data, not someone else's SaaS template.
Learn more →
02 · Data
transformativeData Engineering & Analytics
Pipelines you can trust — from messy spreadsheets to clean dashboards.
Learn more →
03 · Software
transformativeSoftware Development
Internal apps that fit how your team actually works.
Learn more →
Next step
Sound like your retail operation?
We start every engagement with a paid discovery week so both sides know what we are getting into. The fastest path is a 30-minute conversation about where the time and money are actually going.