TechShek Intelligence — Data Science

Models that show you
what your data means.
And what to do next.

We build custom data science models for your specific business. Demand forecasting, churn prediction, pricing intelligence, customer segmentation — built on your data, for your decisions.

Talk to Us About Your Data

What We Build

Six types of models.
All built for decisions.

Demand Forecasting

We build models that predict what you will sell, when, and where. Reduces overstock, prevents stockouts, and lets you plan operations with confidence.

→Inventory planning for retail and e-commerce

→Staffing demand for restaurants and clinics

→Production scheduling for manufacturers

Churn Prediction & Retention

We identify which customers are about to leave — before they do. Then we build the intervention models that bring them back.

→Which subscription customers are at risk

→Which clinic patients have not returned

→Which e-commerce buyers are going dormant

Customer Segmentation

Not all customers are equal. We segment your base by behaviour, value, and potential — so you stop treating your best customers the same as your worst.

→High-value vs. low-value buyer segments

→Loyalty tier modelling

→Geographic and behavioural clustering

Revenue & Pricing Intelligence

We model pricing elasticity, margin leakage, and discount impact — so you know exactly where to raise prices, where to hold, and where discounting is destroying margin.

→Pricing elasticity by product and market

→Discount ROI analysis

→Bundle and upsell opportunity modelling

Operational Efficiency Models

We find where time and money are being wasted in operations — staffing, logistics, procurement, and process — and build models that show the fix.

→Route and logistics optimisation

→Staff scheduling efficiency

→Procurement cost modelling

Attribution & Marketing Intelligence

We build independent attribution models that show what is actually driving customers — not what each platform claims. Your true cost of acquisition, by channel.

→Cross-channel attribution models

→True CAC by source

→Marketing spend efficiency by market

How It Works

We work with the data you have.
Not the data you wish you had.

01

Data discovery

We look at what data you have — transactions, CRM, operations, marketing. We work with real data, not ideal scenarios.

02

Model design

We define what models to build based on your specific business questions. Not generic benchmarks — your patterns, your industry.

03

Build and validate

We build the models, validate them against historical data, and stress test the outputs before they reach you.

04

Delivery and handover

You get the models, the outputs, and a clear explanation of what they mean and how to use them.

Who This Is For

Any business with data
it is not fully using.

You do not need a data team or a data warehouse. You need your data, your business questions, and us.

Retailers with sales data they cannot read

E-commerce stores with customer data they are not using

Restaurants managing inventory by gut feel

Clinics and healthcare providers with patient behaviour data

Factories with production and procurement data

Any business that knows the data is there but cannot act on it

Tell us what you want to know.

We will tell you what model would answer that question — and what data we need to build it.

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