Forecasting and data analytics

Use the data you already collect to see what is coming, not only what happened.

Overview

Sales history, stock movements, machine readings, and payments hold patterns people cannot see in a spreadsheet. We clean and connect that data, then build forecasts and alerts your team can act on, with clear explanations of why.

What you get

Demand and sales forecasting
Reorder and stock suggestions
Anomaly detection on operations data
Dashboards that explain the numbers

What we offer

Forecasting and data analytics, in detail

Pick the parts you need. We scope them together, quote a fixed price, and build in two-week steps.

Data foundations

Data from Tally, the ERP, spreadsheets, and machines brought into one clean place, refreshed automatically.

Demand forecasting

Expected sales by item, customer, and season, so purchase and production plans start from evidence.

Inventory optimisation

Reorder levels and quantities suggested per item, balancing stock-outs against cash tied up in the godown.

Anomaly detection

Unusual machine readings, transactions, or expenses flagged as they happen.

Customer insight

Which customers are buying less, which are likely to pay late, and which products sell together.

Ask your data

Plain-language questions answered from your data, such as "which dealers grew this quarter?", with the chart and the query shown.

Where it fits

Typical projects

Forecasting seasonal demand for a distributor
Suggesting reorder quantities for raw materials
Spotting machines likely to fail before they stop the line
Flagging customers whose orders are falling

Technology

What we use

Well-supported tools with a long runway, chosen for the project rather than for novelty.

Python
pandas
scikit-learn
Prophet
PostgreSQL
TimescaleDB
Metabase
Power BI

Our full technology stack

How it works

From first call to production

Every engagement follows the same shape, so you always know what happens next and what you will see.

01 · Week 1
Scope
We sit with the people who will use the thing. You get a written scope, a fixed estimate, and an honest note about what we would cut first.
02 · Weeks 2 to 10
Build
Two-week iterations against a shared board. You see working software every fortnight, not a status deck.
03 · Launch week
Launch
Staged rollout, real monitoring, and a rehearsed way back. We stay on the call until the graphs go flat.
04 · Ongoing
Run
Patching, alerts, and a monthly review of cost and reliability. Leave with your code and your documentation whenever you want.

Questions

Frequently asked questions

How much data do we need?

For sales forecasting, one to two years of history is a good start. We assess your data first and tell you what is realistic.

Our data is messy. Is that a problem?

It is normal. Cleaning and connecting data is the first part of every analytics project, and often useful on its own.

Will we understand the forecasts?

Yes. We show the reasons behind each forecast and how accurate past forecasts were, so people can trust or question them.

Have a project like this in mind?

Send a paragraph about what you need. An engineer replies within one working day, and you get a written scope with a fixed price within a week.

Start a project