Turn Operational Data into Better Decisions.
Forecast demand, detect problems early, and automate the reporting that slows your team down.
Practical data systems for UK SMEs — from automation and dashboards to forecasting and machine learning — built in weeks, not months.
No preparation needed • No obligation
Your Data Should Work for You — Not the Other Way Around
- Spreadsheets multiply faster than you can manage
- "Quick reports" take hours to assemble
- Problems appear only after they become expensive
- Teams spend more time gathering data than acting on it
Growing businesses often reach a point where manual reporting, disconnected spreadsheets, and limited visibility start slowing everything down.
Large consultancies often propose six-figure transformation projects. Off-the-shelf tools rarely fit how your business actually works.
QSol Analytics builds practical data systems for operational SMEs, including:
- reporting and workflow automation
- operational dashboards and analytics
- forecasting and predictive modelling
- machine learning and AI tools tailored to real workflows
The goal is simple: help your team spend less time managing data and more time making decisions.
Case Studies and Systems Built
Recent projects demonstrating how automation, analytics, and machine learning improve operational workflows.
Automated Data Processing for Acoustic Consultancy
Python automation system that processes measurement data, performs calculations, and generates structured consultancy reports.
Reduced reporting time significantly and improved calculation consistency
Estimating and MIS System for Bespoke Manufacturing
Operational data system designed to automate quoting workflows and provide clearer management insight.
Cut quoting turnaround from hours to minutes
Customer Clustering and Recommendation Modelling
Machine learning models to identify customer patterns and prioritise opportunities using clustering and recommendation logic.
Improved targeting and sales prioritisation
AI Lesson Planner for Science Cover Teaching
Automation system that generates structured lesson plans using curriculum inputs, difficulty levels, and knowledge checks.
Reduced lesson planning effort and improved consistency
What You'll Get From the Call
During a 30-minute call we will:
- map how data currently flows through your business
- identify where automation or analytics could save time
- highlight 2–3 practical improvements you could implement quickly
There is no preparation required and no obligation to proceed.
These conversations are most useful for operations-heavy SMEs with around 10–500 employees.
What We Do
Operational Data Systems
Eliminate manual reporting and gain real-time visibility. Automated pipelines that save hours each week.
Typical timeline: 2–4 weeks
Learn morePredictive Analytics & Forecasting
Plan ahead with confidence. Demand forecasting and anomaly detection that help you respond before problems escalate.
Typical timeline: 3–6 weeks
Learn moreMachine Learning Solutions
Uncover hidden patterns in customer behaviour. Clustering and recommendations that drive better commercial decisions.
Typical timeline: 4–8 weeks
Learn moreAI Assistants & Document Intelligence
Practical AI tools for document search, review analysis, and grounded assistants that support real business workflows.
Typical timeline: 3–6 weeks
Learn morePractical Services We Deliver
Concrete solutions you can buy now—each with clear deliverables and timelines.
What Data Science Can Actually Do for Your Business
Not sure what's possible? Here are five common problems we solve—and what the results look like.
Manual reporting is eating your team's time
Automated data pipelines that pull, clean, and format reports—daily or on-demand.
Hours saved each week. Fewer errors. Faster decisions.
Demand fluctuates and you're always catching up
Forecasting models that predict demand at SKU, category, or aggregate level—with confidence intervals.
Better inventory planning. Fewer stockouts. Less working capital tied up.
You treat all customers the same
Clustering and segmentation that identifies meaningful groups based on behaviour, value, and patterns.
Targeted marketing. Prioritised sales effort. Higher conversion.
Problems become visible only after they're expensive
Anomaly detection that spots unusual patterns in real-time—before they escalate.
Earlier warnings. Faster response. Lower incident costs.
Your team answers the same questions repeatedly
AI assistants trained on your business data—for internal knowledge retrieval and decision support.
Faster onboarding. Consistent answers. Time freed for higher-value work.
Not sure where to start?
Take the Data Opportunity DiagnosticWhere Is Data Slowing Your Business Down?
Select the challenge that feels most familiar. We'll show what typically causes it and what kind of solution usually helps.
Reporting takes too long
Demand is hard to predict
Customer data exists but insight is weak
Problems appear too late
Teams repeat the same manual work
Typical Engagements
Clear, scoped projects with fixed pricing. Choose the engagement that fits your current challenge.
Data & Reporting Automation Sprint
Designed for businesses spending too much time on manual reporting, spreadsheet copying, and disconnected admin workflows.
- Automate repetitive reporting processes
- Connect and structure operational data
- Reduce spreadsheet dependency
- Create a reliable dashboard or reporting workflow
Typical result
Save 5–10 hours per week on reporting
Forecasting & Decision Support Project
Built for teams that need better planning, earlier warning signals, and more confidence in operational decisions.
- Demand / workload forecasting
- Anomaly detection
- Predictive models for operational risk
- Decision-support dashboards
Typical result
Earlier warning of demand changes and operational risks
Customer Intelligence & Recommendation System
For businesses with customer or client data who want better segmentation, prioritisation, and smarter targeting.
- Clustering and customer segmentation
- Recommendation systems
- Lead / opportunity prioritisation
- Pattern discovery in customer behaviour
Typical result
Clear customer segments and better sales prioritisation
How It Works
A lightweight process designed for busy teams
Discovery
30 min call
We map your current setup and identify quick wins. You leave with clarity, not a sales pitch.
Assessment
1-3 days
We review your data and systems. You receive a written assessment with prioritised opportunities.
Build
2-4 weeks
We deliver a working prototype you can test with real data. Value before the main investment.
Refine
1 week
We refine based on feedback and ensure everything works in your environment.
Deploy
Ongoing
Full documentation and handover—or ongoing support. You choose.
Why Work With QSol Analytics?
Rapid Time-to-Value
From discovery call to working prototype in 2-4 weeks. No six-month scoping phases.
Signal Over Noise
Physics-trained rigour applied to business systems. We focus on clarity, modelling, and practical decisions—not unnecessary complexity. You get insight, not more dashboards.
Measurable Outcomes
Success metrics agreed upfront. You see the ROI before the final invoice.
Right-Sized Solutions
If a spreadsheet fix solves your problem, we'll say so. No overselling.
Founder Access
Work directly with the founder, not handed to junior staff.
Built for Industries Where Data Complexity Grows Faster Than Insight
We work with UK SMEs where operations are complex and data is plentiful—but actionable insight is scarce.
See What Data Could Do for Your Business
Most discovery calls reveal quick automation opportunities, better visibility, or clearer next steps for improving decisions.
Common Questions
How much does this cost?
Pricing depends on project complexity. Approximate ranges:
- Automation systems: approximately £3k – £8k
- Analytics / forecasting models: approximately £5k – £15k
- Decision systems (ML/AI): approximately £15k – £25k+
We provide fixed quotes after the discovery call—no surprise invoices.
Do I need to prepare anything before we start?
Not really. Access to your data and 30 minutes for a discovery call is enough to begin. We'll guide you through what's needed from there.
Do we need good data before working with you?
Not necessarily. Many projects start by cleaning and structuring existing data before more advanced modelling is introduced. Part of our job is working with messy reality—fixing data quality issues is often the highest-ROI work we do.
How quickly can we see results?
Most projects deliver a working prototype within 2–4 weeks. We focus on rapid time-to-value so you can see real results before committing to larger systems.