E-commerce Business Intelligence Platform
Turning raw commerce data into real-time operational clarity — giving retail businesses the visibility to make faster, smarter, more profitable decisions. Built in 10 weeks.
Growing retail businesses don't suffer from a lack of data — they suffer from too much of it, scattered across too many places. Orders in one system, marketing performance in another, inventory in a spreadsheet, customer behavior nowhere at all. Our clients were making significant decisions on ad spend, inventory, and product focus based on incomplete pictures and gut instinct — with real costs in wasted budget and missed revenue.
We built a unified intelligence layer — not a dashboard bolted onto a database. A centralized data warehouse pulling, normalizing, and syncing data from every source. A KPI framework designed from decisions down rather than data up. Role-specific views for executives, marketing, inventory, and operations. And a marketing attribution engine that connected every pound of ad spend to actual revenue outcomes.
Siloed Data Sources
Commerce, marketing, inventory, and customer data living in separate systems with no unified view.
Blind Marketing Spend
Ad budgets allocated on assumption rather than attribution — with no clear line between spend and revenue.
Inventory Mismanagement
No demand forecasting — leading to costly overstocking of slow products and missed sales on fast ones.
Slow Decision-Making
Leadership spending hours compiling reports manually — instead of acting on insights in real time.
How we approached it.
Data Source Audit & Mapping
We identified every data source across the business — commerce platform, ad accounts, inventory systems, payment gateways, and customer databases — and mapped the relationships between them before writing a single query.
Data Pipeline Architecture
We built a unified data pipeline that pulls, normalizes, and syncs data from every source into a centralized warehouse — ensuring every metric pulls from a single source of truth, not a patchwork of exports.
KPI Framework Design
Before designing a single chart, we worked with leadership to define which metrics actually drive decisions and how they should be weighted and contextualized. We built dashboards from decisions down — not data up.
Dashboard Build & Role-Based Access
We built role-specific views — executive summary, marketing performance, inventory intelligence, and operational metrics — so every stakeholder gets the data most relevant to their decisions, without information overload.
The full solution.
Unified Data Pipeline
All commerce, marketing, inventory, and customer data flowing into one centralized warehouse — clean, normalized, and always current.
Real-Time Revenue Dashboard
Live revenue tracking with trend analysis, channel attribution, product performance, and period-over-period comparisons — all in one view.
Marketing Attribution Engine
Every ad spend connected to revenue — Meta, organic, direct, and referral channels all measured against actual purchase outcomes.
Inventory Intelligence Module
Sell-through rate tracking, low-stock alerts, and demand trend analysis — turning reactive inventory management into proactive planning.
Customer Behavior Analytics
Cohort analysis, repeat purchase rates, average order value trends, and customer lifetime value — giving marketing and product teams real signals.
Automated Alerts & Reporting
Scheduled performance reports and threshold alerts — so the right people are notified about the right anomalies without checking dashboards manually.
- Business performance pieced together from separate exports every week
- Marketing spend allocated by intuition — no attribution data
- Inventory decisions made after problems occurred, not before
- No visibility into which products, channels, or customers were most profitable
- Leadership time consumed by data compilation, not decision-making
- Revenue leakage invisible — no system to detect or flag it
- Real-time unified dashboard — full business visibility in one place
- Every marketing channel attributed to actual revenue outcomes
- Proactive inventory management with demand trend forecasting
- Clear profitability rankings by product, channel, and customer segment
- Automated reports delivered to the right people at the right time
- Revenue leakage identified and addressed within the first month
Want similar results?
Let's discuss how we can apply these approaches to your specific challenges.