Outcomes, not testimonials.

Problem

Forecasts were 30%+ off, causing constant stockouts and bloated inventory across 200+ SKUs.

Solution

Built a unified sales pipeline, then deployed seasonal ML forecasting tuned per SKU and channel.

Problem

Cloud bill grew 4x in 18 months. Per-delivery cost climbing with no clear root cause.

Solution

Rearchitected the data layer, optimized compute and storage tiering, and built per-route economics dashboards.

Problem

Unplanned downtime was eating 11% of monthly output. Machine data was siloed in PLCs.

Solution

Unified plant-floor data into a clean warehouse. Trained predictive models for the top failure modes.

Problem

Reps worked off week-old reports. Margin leak across long tail of accounts went unnoticed.

Solution

Built daily sales/margin pipelines and an AI assistant for reps to query account history in plain English.

Problem

Operations team ran the entire business off 14 chained spreadsheets. Closing books took 9 days.

Solution

Replaced the spreadsheet stack with proper pipelines, a clean schema, and automated reconciliations.