DEEP MIST
AI
Logistics

Eliminating 20 Hours of Weekly Reporting

12 reports. 20 hours. Reduced to zero.

20h
saved per week for the analytics team
12
reports fully automated
1 week
from kickoff to production
2
analysts redeployed to strategic work

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

20h
saved per week for the analytics team
12
reports fully automated
1 week
from kickoff to production
2
analysts redeployed to strategic work
Timeline
1 week
Team
1 Deep Mist engineer
Tech Stack
GPT-5.4Claude Opus/Sonnet 4.6Gemini 3.1 ProPythonPandasAWS LambdaS3PostgreSQLSendGrid
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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