📊 Kodago Analytics
Real-Time Business Intelligence & Analytics Platform
Who We Built This For
Kodago Analytics was built for a retail and eCommerce group operating across multiple brands, channels, and geographies. Their data was scattered across Shopify stores, a custom ERP, three ad platforms, a logistics provider, and a CRM — each with its own reporting interface. Leadership was making major decisions based on week-old CSV exports. They needed everything in one place, live.
What We Set Out to Build
Kodago Analytics is a real-time business intelligence platform that aggregates data from 10+ sources into a single live dashboard — giving business leaders, marketing teams, and operations managers a unified view of what is happening in their business right now, not last week.
The platform connects to eCommerce stores, CRMs, ad platforms, ERPs, and logistics APIs through a library of pre-built connectors. Once connected, data flows into a normalized warehouse layer and surfaces on customizable dashboards within minutes. No SQL required — a drag-and-drop report builder lets non-technical users build, schedule, and share any report without engineering support.
On top of reporting, a predictive layer surfaces AI-generated insights: demand forecasting, customer churn risk scores, and anomaly alerts that flag unusual drops in conversion or spikes in returns before they become problems. Mobile apps keep the executive team informed on the move with push alerts for KPI thresholds.
Project Facts
Tech Stack
Build Something Similar?
Let's create a tailored roadmap for your project — free consultation.
Start a ProjectWhat Needed to Be Solved
The leadership team was running the business on week-old CSV exports and disconnected dashboards across 10+ tools. Marketing reported separately from operations, which reported separately from finance — no single source of truth existed. Manually consolidating reports for Monday meetings consumed 8+ hours of analyst time every week.
Data scattered across 10+ tools — Shopify, CRM, ERP, 3 ad platforms, logistics — with no unified view
Monday reporting consumed 8+ analyst hours each week on manual CSV consolidation
Business decisions based on week-old data — no real-time visibility into sales, returns, or ad spend
No early-warning system for KPI drops — problems discovered days after they could have been caught
How We Tackled It
Data Audit & Architecture
Mapped all 10+ data sources, identified key metrics per team, and designed the normalized data warehouse schema for multi-source aggregation.
Connector Development
Built pre-built connectors for Shopify, Razorpay, Google Ads, Meta Ads, Zoho CRM, and custom ERP via REST and webhook integrations.
Dashboard & Report Builder
Developed the drag-and-drop dashboard builder with 20+ chart types, real-time data refresh, and scheduled email/PDF report delivery.
AI Insights Layer
Built a Python ML layer for demand forecasting, customer churn scoring, and anomaly detection with threshold-based push alert system.
Mobile Apps & Launch
Deployed React Native mobile apps with live KPI widgets and push notifications. Rolled out to leadership and department heads with training.
What We Built
Real-Time Dashboards
Live KPI dashboards with 20+ chart types, custom date ranges, and auto-refresh — no waiting for batch exports.
10+ Data Connectors
Pre-built integrations with Shopify, Google Ads, Meta Ads, Razorpay, Zoho CRM, ERP systems, and logistics APIs.
Drag-and-Drop Reports
No-code report builder — any team member can create, schedule, and share custom reports without engineering support.
AI-Powered Insights
Demand forecasting, churn risk scoring, and anomaly detection that alerts teams to problems before they escalate.
Smart KPI Alerts
Threshold-based push and email alerts when any KPI — revenue, conversion, ROAS — drops outside normal range.
Mobile Analytics Apps
React Native iOS & Android apps with live KPI widgets and push alerts — executives stay informed on the move.
Results That Speak for Themselves
Full Scope of Work
Built a normalized data warehouse aggregating real-time data from 10+ sources via pre-built connectors
Developed a drag-and-drop dashboard and report builder with 20+ chart types and scheduled delivery
Integrated ML layer for demand forecasting, customer churn scoring, and real-time anomaly detection
Built threshold-based KPI alert system with push notifications and email escalation
Deployed React Native mobile apps for executive on-the-go visibility with live metric widgets
More Case Studies
Have a Similar Project in Mind?
We've helped businesses across 10+ countries build platforms like this. Let's discuss what's possible for you — completely free, no commitment.
Didn't Find What You Were Looking For?
We're here to help you get the answers you need, quickly and clearly.
Project timelines vary by complexity. Most of the platforms in our case studies were delivered in 3–6 months from initial requirements to production launch, including testing and client feedback cycles.
Yes. We follow an Agile methodology with 2-week sprints. Clients receive working demos every sprint and provide feedback that directly shapes the next iteration. There are no surprises at launch.
Absolutely. Every project we take on starts with a free consultation where we understand your specific requirements and create a tailored scope. Use the "Start a Project" button on this page to connect with us.
Yes. You receive the complete source code, deployment documentation, API documentation, and a handover session with our team. You'll be able to manage and extend the system independently or with any developer.
All projects include a 30–60 day post-launch support period at no extra cost. After that, we offer monthly retainer maintenance packages for updates, performance monitoring, security patches, and new feature development.
Still have questions? Contact us directly →