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AI & ML
Predictive Analytics Dashboard
The Challenge
The client relied on spreadsheet-based forecasting across hundreds of SKUs, leading to frequent overstock and stockout cycles.
No one on the team had visibility into which products were trending until the data was already weeks stale.
The Solution
Built a sales-forecasting pipeline in Python/TensorFlow trained on historical sales, seasonality, and promotional data.
Surfaced per-SKU demand predictions and inventory recommendations through a React dashboard refreshed daily via Apache Airflow.
Alerts flag SKUs trending toward stockout or overstock two to four weeks ahead of the event.
The Results
MEASURABLE IMPACT
27%
Reduction in stockouts
18%
Lower excess inventory
92%
Forecast accuracy (30-day horizon)
Tech Stack
“Technical ability, responsiveness, and professionalism outstanding throughout. An amazing journey.”
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