AI forecasting for sales, stock and reorders

Forecasting at the counter

SeroPOS includes AI sales forecasting built on your own sales history. For a restaurant, that means a better sense of how many covers to expect on a given night and how much to prep, so less food is wasted and fewer dishes run out. For a shop, it means planning staff around the genuinely busy days rather than guessing from memory or last year’s calendar.

Forecasts sit alongside the trending and sales reports, so managers can compare what was expected with what actually happened and adjust next week’s plan accordingly. Over time, that habit of checking the forecast against reality is what turns a forecast from an interesting number into a tool people actually use when they write the schedule.

Demand forecasting in the ledger

SeroBooks forecasts demand at item level and plans with two lead times, so a supplier who ships in three days and one who takes six weeks get different reorder points for the same sales rate. Demand forecasting is included on SeroBooks Pro at $300 a month in USD, alongside payroll, job costing and the audit trail.

The models are trained in Azure Machine Learning. Each forecast comes with a confidence range and plain-English drivers, so you can see whether a jump comes from seasonality, a recent promotion or a genuine trend before you commit cash to stock. A forecast you can question is far more useful than a single number you are simply asked to trust.

• Item-level demand forecasts
• Two lead times per item
• Confidence ranges on every forecast
• Plain-English explanation of drivers

From forecast to purchase order

A forecast only helps if it turns into an order at the right time. Maya, the AI employee in SeroBooks, can turn forecasts into draft reorder points and purchase orders for the items that need them. Nothing is sent to a supplier or posted to the books without a person’s approval, and every action Maya takes is recorded in the audit trail.

For Amazon sellers, SeroBooks for Amazon includes forecast and replenishment planning for inbound shipments to fulfilment centres, which can replace a separate planning tool. Running out of stock on Amazon can cost sales ranking as well as revenue, so planning shipments early is often worth more than a small discount from a supplier.

Your data, your models

Forecasts are built from your own sales, stock and supplier history. Customer data is not used to train AI models for anyone else. Results are only as good as the history behind them, so new items or new businesses start with wider confidence ranges that narrow as sales accumulate, and the drivers make it clear when a forecast is still uncertain.

Try forecasting with a 14-day free trial of SeroBooks or SeroPOS. SeroPOS starts at $29.99 a month, and SeroBooks Pro, which includes demand forecasting, is $300 a month in USD. Many businesses start with counter forecasts in SeroPOS and add ledger forecasting as purchasing becomes a bigger part of their week.