Skip to content

AI analytics & BI

Turn your business data into better decisions

Your sales, orders, customers and operations already produce useful data — it is just scattered across your store, CRM, spreadsheets and accounting tools. We bring it together into clear dashboards and automated reports, then add AI where it genuinely helps: spotting trends, forecasting and answering questions in plain English, grounded in your real numbers.

Sound familiar?

Problems this solves

  • Answering “how did we do last month?” takes a day of spreadsheet work
  • Data lives in your store, CRM and spreadsheets but never in one place
  • You find out about a drop in sales or bookings weeks too late
  • Reports exist, but nobody trusts the numbers or knows what to do with them

What we build

AI analytics & business intelligence: what’s included

01

Interactive dashboards

Clear, filterable dashboards for the metrics that matter to you, readable on desktop and phone.

02

Sales & revenue analytics

Revenue by product, service, channel, region and period, with comparisons and margins where the data supports them.

03

Customer behaviour analysis

Repeat purchases, retention, lifetime value and segment views that show who buys what, and when.

04

Trend detection & forecasting

Seasonality, anomalies and forward-looking forecasts presented with honest ranges, not false precision.

05

Automated reports & alerts

Scheduled summaries in your inbox, and alerts when a metric moves outside its normal range.

06

Natural-language questions

Ask “which products sold best in Ontario last quarter?” and get an answer backed by a query you can check.

07

Data integrations

Connections to websites, e-commerce platforms, CRMs, accounting exports and databases — scoped and confirmed for your systems.

Why it matters

What your business gets out of it

  • One source of truth

    Numbers from different tools reconciled in one place, with each metric defined once.

  • Hours back every week

    Reports that build themselves instead of being assembled by hand.

  • Earlier warnings

    Spot drops and spikes while there is still time to act on them.

  • Decisions with evidence

    Pricing, staffing, inventory and marketing choices backed by your own data.

Examples

Where this helps

E-commerce
Product performance, repeat customers, channel and campaign results, and inventory signals.
Service businesses
Lead sources, quote-to-job conversion, revenue per service and seasonal demand.
Multi-location operations
Compare locations and regions side by side with consistent definitions.
Owners & managers
A weekly summary of what changed, what is unusual and what needs attention.

Delivery options

Managed for you, or built for you to own

Some businesses want insights without running anything; others want an analytics stack they own outright. Both start with the same data review:

We run the pipeline, you read the insights

Managed subscription

We connect your data sources, host your dashboards and reports, and keep them accurate as your business and tools change — for a monthly subscription.

  • Hosting, data refreshes and monitoring included
  • Dashboards, reports and alerts configured for you
  • Regular check-ins to add metrics and questions
  • Lower upfront cost than a custom build

Your analytics stack, built for you

Custom, client-owned

A bespoke analytics solution built in your own cloud account or infrastructure, with ownership of the delivered code and data pipelines.

  • Client ownership of the delivered code, set out in your proposal
  • Deployed to your own cloud or servers
  • Custom metrics, models and integrations
  • Documentation and handover, plus an optional care plan

Pricing is scoped per business — you receive a written proposal before any work begins.

How it works

From first call to launch

  1. 01

    Intro conversation

    Tell us what is slowing your business down or what you want to build. We ask practical questions and tell you honestly whether we are a good fit.

  2. 02

    Scope & proposal

    You get a clear written proposal: what will be built, how it will work, milestones and a fixed price for the defined scope.

  3. 03

    Build in the open

    Work happens in milestones with previews you can click through, so feedback shapes the result early.

  4. 04

    Launch & handover

    We launch carefully, document what was built and make sure you know how to use and update it.

  5. 05

    Care & improve

    Optional ongoing care keeps things updated, monitored and improving — including AI and automation upkeep.

FAQ

Questions about AI analytics & business intelligence

Do we need clean data to start?

No. Most businesses have messy, scattered data. We start by reviewing what you have, then clean, reconcile and document it as part of the project — and tell you plainly where the gaps are.

How accurate are AI answers and forecasts?

Forecasts are estimates with ranges, not promises, and AI answers can be wrong. We design so you can see the data and logic behind an answer, and we test against numbers you already know before you rely on it.

Which tools can you connect?

Anything with an API, database access or reliable exports — commonly e-commerce platforms, CRMs, spreadsheets, accounting exports and website analytics. We confirm feasibility for your systems before quoting.

Managed subscription or custom build?

A managed subscription suits most small and midsize businesses: lower upfront cost and nothing to maintain. A custom, client-owned build suits teams with their own infrastructure, strict data requirements or in-house staff who will extend it. We recommend one after a short consultation.

Have a project or a problem worth solving? Let’s talk.

Tell us what you want to build or fix. You will get a straight answer on whether we can help, how we would approach it and what happens next.