AI-powered analytics dashboard interface

AI-Powered Analytics Platform for Enterprise Decision-Making

How CoderVu delivered real-time insights and predictive modeling at scale for a growing analytics product.

The summary

A mid-market enterprise needed to turn fragmented data sources into a single analytics surface with predictive capabilities. CoderVu designed and shipped a platform combining batch and streaming pipelines, an ML inference layer, and a React dashboard used daily by operations and leadership teams.

The challenge

Legacy reporting was spreadsheet-driven and days behind real events. Data lived in silos across CRM, product telemetry, and finance systems. The client required sub-minute freshness for key KPIs, role-based access, and models that non-technical stakeholders could trust — without hiring a large in-house data team.

Team Size: 6 specialists
Engagement Length: 6 months
Engagement Model: Dedicated product squad

The Solution

We implemented a Python and TensorFlow pipeline on AWS with governed feature stores, automated retraining hooks, and a React front end tuned for executive and analyst workflows. Dashboards expose explainable predictions alongside historical trends, with export and alerting built in from day one.

“CoderVu turned our analytics roadmap into a production system our teams actually use every morning. The architecture scales with us.”
VP Product, Enterprise Analytics Client

The outcome

The platform onboarded 50K+ users with 95% model accuracy on priority forecasts. Time-to-insight dropped from days to minutes, and the client extended the engagement to additional business units within six months of launch.

PythonTensorFlowReactAWS

Technologies used...