Eliminating 20 Hours of Weekly Reporting
12 reports. 20 hours. Reduced to zero.
The Challenge
A mid-size logistics operator running routes across multiple regions had a team of two analysts spending every Monday generating the same 12 operational reports for department heads. The reports pulled from three different systems - a TMS, a WMS, and a custom Excel-based tracker. Consolidation alone took 6 hours. The remaining 14 hours were spent formatting, charting, and distributing.
The problem was compounding: new data sources were being added, report requests were increasing, and the analysts were burning out.
The Solution
We mapped all 12 reports in day one and identified that 10 of them could be fully automated with zero human intervention. The remaining 2 required a 10-minute review step before distribution.
We built a Python pipeline that connected to all three source systems via API, ran the extraction and consolidation on a Monday 4am schedule, generated PDF and Excel outputs using a template engine, and distributed via email automatically. A simple web dashboard let department heads access live versions between Monday distributions.
Results
Deep Mist AI automated the full reporting pipeline for a global logistics operator in 1 week. The system saves 20 hours per week, automates all 12 weekly reports, and freed 2 analysts to focus on strategic work instead of data entry.
We got 20 hours a week back. My team finally has time for analysis instead of data entry.
Head of Operations - Global Logistics Operator
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This project was delivered on a 1 week timeline. See all service tiers.
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