Project Snapshot
- Client: High-Growth Direct-to-Consumer E-commerce Brand
- Services Provided: AI Development, Data Warehouse Integration, BI Dashboard Development, API Integration
- Timeline: 18 Weeks
The Project Brief
Our client, a successful D2C e-commerce brand, was drowning in data. With significant ad spend across Google, Facebook, TikTok, and email campaigns, their marketing team was spending over 20 hours a week manually exporting spreadsheets and trying to stitch together a coherent picture of their performance. This “data chaos” led to slow, reactive decision-making and missed opportunities. They needed a powerful, automated system to consolidate their data and, more importantly, to help them find the actionable insights hidden within it.
Our Contribution & Key Features
We engineered a sophisticated, end-to-end business intelligence system that transformed their raw data into a strategic asset.
- Centralized Data Warehouse: Architected a single source of truth by automatically pulling and consolidating data from all their disparate marketing platforms via APIs into a central data warehouse.
- Live, Interactive BI Dashboards: Built a suite of custom, real-time dashboards in Looker Studio, providing the marketing team with a 360-degree view of their performance, from high-level KPIs down to the most granular campaign details.
- AI-Powered “Weekly Insights” Generator: The core of our solution—we developed a custom AI model that analyzed the week’s performance data, identified significant trends, flagged anomalies, and automatically generated a natural language summary report for the leadership team every Monday morning.
- Predictive Analytics Module: Implemented a predictive model to forecast key metrics like Customer Lifetime Value (LTV), enabling more strategic, forward-looking budget allocation.
The Outcome
The new AI-driven system eliminated data silos and empowered the client’s marketing team to make faster, smarter decisions. The system reduced the time spent on manual data analysis by 90%, freeing up their team to focus on strategy. The proactive insights generated by the AI directly contributed to a 15% improvement in overall marketing efficiency and blended ROAS.