Retail runs on thin margins and fast cycles. The difference between a strong quarter and a write-off is often a forecast that was slightly more accurate or a churn signal caught a week earlier. We build the models and dashboards that make those margins predictable.
Where we help
We connect sales, inventory, web, and marketing data into models that drive specific operational decisions, from how much to stock to which customers to win back.
- Demand forecasting at SKU and store level to cut both stockouts and write-offs
- Pricing and promotion intelligence that protects margin instead of training discount-seekers
- Churn and retention models that flag at-risk customers while there is still time to act
- Customer lifetime value segmentation to focus acquisition spend where it pays back
Why it matters here
Generic forecasting tools ignore your seasonality, regional quirks, and promotion calendar. We train on your history and your signals, then put the output where merchandising and marketing teams already work, so the insight actually gets used.
How we work
We start with the decision that moves the most money, prove value on a focused pilot, then scale across categories and channels. Working prototypes in two to four weeks, production rollouts in six to ten.