We turn scattered spreadsheets and raw system exports into clear dashboards, automated reporting, and AI you can ask a question in plain language — built around the decisions you actually need to make.
Most teams aren't short on data. They're short on time, trust, and a straight answer. Reports live in a dozen spreadsheets, the numbers don't agree, and pulling them together eats hours every week. We build the layer that fixes that, so the people running the business spend their time deciding, not assembling.
We consolidate your sales, finance, inventory, and operations data into live dashboards that update themselves. One place, one version of the truth, refreshed automatically — so a report that used to take days is ready in minutes.
Instead of digging through reports, your team simply asks — "which products are losing money?", "what should I restock?" — and gets a clear, traceable answer back in seconds. The AI is wired to your real numbers and rules, so it doesn't make things up.
The repetitive data work — pulling exports, cleaning files, matching statements, sending the weekly update — runs on its own. Fewer manual errors, hours given back to your team, and reporting that never falls behind.
Demand curves to time your restocks, models that group customers or products by how they actually behave, and root-cause analysis that explains why a number moved — not just that it did. Statistics that point to a decision.
A purpose-built assistant that sits on top of your data and your definitions, answers in your team's language, and — crucially — refuses to guess when it isn't sure. Grounded in a governed source of truth, so its numbers match your official reports.
When two reports show different numbers for the same thing, the problem isn't the chart — it's that nobody agreed on the definition. We document your KPIs, settle the canonical calculation, and give you a single source of truth the whole team can build on.
The pattern repeats across very different industries: the data exists, but the people who need it can't reach it fast enough. Here's where we've worked it through end to end.
Where the margin hides. Per-product profitability, true landed cost, restock timing, and ad spend that's lumped into bulk totals — pulled apart so you can see which products actually make money. Built for Amazon sellers and at the scale of one of the world's largest e-commerce companies.
From shop floor to a clear P&L. Financial and operational dashboards that turn a reporting cycle of days into one of hours, plus productivity and throughput analysis that explains the drivers behind the numbers.
Behaviour you can act on. Customer-behaviour and retention modelling, segmentation for marketing and risk, and the data engineering to keep it all reliable — built inside a retail bank's analytics function.
Inventory and demand under control. Profitability by SKU, demand forecasting, and automated reporting so buyers and operators stop reconciling spreadsheets and start deciding from one trusted view.
Different scales, same shape: raw data in, a plain-language answer out — with the foundation built so the answer can be trusted.
Amazon shows you the costs, just not where they hurt. An operational-intelligence platform allocates the bulk totals down to each product, flags which ones quietly bleed margin, and answers restock questions in plain language.
View case studyA conversational analytics platform for last-mile operations: plain-language questions become audited, governed queries and causal diagnosis — for operators and managers, not just analysts, across five countries.
View case studyWhat do you need to know to run the business better? We work back from there — the data is a means, not the goal.
A working dashboard or answer in weeks, not a six-month project with nothing to show along the way.
Plain-language, self-serve, and documented. Not a black box that only the person who built it understands.
8+ years turning operational complexity into decisions leaders act on. Currently builds analytics products used daily by 500+ decision-makers across five countries at one of the world's largest e-commerce companies. One person who designs the foundation, builds the product, and gets people to actually use it — based in Windsor, ON, Canada.
A short conversation about where the hours and the guesswork are going. No obligation, no pitch deck.
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