Predictive Analytics for eCommerce

Predictive Analytics for eCommerce

ClientShopMax Inc.ServiceAI / Data Analytics
PlatformWeb PlatformTechnologyPython • BigQuery • TensorFlow

Predictive Analytics Platform for eCommerce

The Challenge:

  • No demand forecasting led to 40% overstock on seasonal items.
  • Manual inventory reviews took 2+ days per category.
  • Customer segmentation was too broad, lowering conversion rates.
  • No attribution model to measure marketing channel ROI.

Solution:

  • Built ML demand prediction models trained on 3 years of sales data.
  • Automated inventory alerts triggered by real-time stock thresholds.
  • Implemented behavioral clustering to power personalized campaigns.
  • Developed a multi-touch attribution dashboard for marketing teams.

Features:

  • Discovery: Data audit, KPI alignment & stakeholder workshops.
  • Design: Intuitive analytics dashboards with drill-down views.
  • Development: TensorFlow models served via BigQuery ML.
  • Testing: Backtesting models on 24-month historical data.

Results:

  • 35% increase in revenue from AI-driven product recommendations.
  • 40% reduction in overstock through accurate demand forecasting.
  • 3× improvement in email campaign conversion via segmentation.
  • Real-time analytics dashboard processing 5M events per day.