A nationwide bonus points campaign wasn’t hitting the mark for a leading US convenience chain. We stepped in with an ML–driven framework on Databricks to measure real impact, identify what worked, and simulate better outcomes. The result? $400K saved in promotional spend, continuous improvements, and a 10% lift in campaign performance across 5,000+ stores.
For our client’s category team, generating product claims was a month-long grind, manually pulling data, linking it to sales and trends, and paraphrasing based on ingredients and benefits. It was slow, cumbersome, and full of room for error. We stepped in to automate the process, using data from Mintel GNPD and ML plus GPT to …
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Disconnected planning, low accuracy, and no visibility into how pricing and promotions impacted demand were slowing our client down. We built an end-to-end solution on their Databricks environment, fully integrating pricing, promotions, and demand forecasting. The outcome: a connected, scalable platform that enables smarter decisions, accurate planning, and scenario simulations across their entire product portfolio.
Data was everywhere, systems were outdated, and governance was a challenge. Our client’s CRM data operations were slowing them down. We stepped in and helped modernize things by moving their legacy ETL processes and data from AWS-hosted, Postgres-backed Python pipelines to Databricks, all in under six months. The result? A secure, scalable platform with easier …
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