From Bottleneck to Breakthrough: Automating Cost Intelligence for a Logistics Tech InnovatorIT
A US-based AI logistics tech company helps major e-commerce brands streamline last-mile delivery by optimizing shipment packaging based on invoice data. But behind the scenes, key processes were still largely manual and time-consuming.
Success Highlights
- Accelerated Report Generation – Reduced report processing time from 1–2 days to just 30 minutes—achieving a 96% reduction in turnaround time.
- Automated and Simplified Workflows – Eliminated manual Excel-based processes and repetitive SQL queries by implementing Python-powered automation with single-click execution.
- Improved Data Quality and Consistency – Enhanced the accuracy, consistency, and traceability of output data through automation.
Key Details
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Industry: IT
Business Challenge
A US-based AI logistics tech company helps major e-commerce brands streamline last-mile delivery by optimizing shipment packaging based on invoice data. But behind the scenes, key processes were still largely manual and time-consuming.
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Manual Invoice Handling Workflow: Invoices received as PDFs via email required manual data entry into Postgres and Snowflake, with no automated ingestion process
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Excel-Based Analysis: Analysts extracted data into Excel, applied multi-step formulas, and generated reports manually.
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Lack of Automation and Cloud Integration: No automation tools or cloud-based workflows were in place to streamline reporting.
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Time-Intensive Reporting Cycles: Each reporting cycle required significant manual effort and took up to 1–2 days for just 10 invoices.
Our Solution Approach
We implemented a comprehensive strategy to address the challenges.
Code-Based Automation of Excel Logic:
Reverse-engineered the client's multi-step Excel formulas and implemented them in Python to automate complex calculations for packaging optimization and cost analysis.
Streamlined Data Processing
Structured extracts from Snowflake are now processed through code, replicating all intermediate Excel steps—reducing turnaround time and eliminating manual errors.
Plug-in Play Reporting Framework
The client's team can upload raw data files and receive fully processed reports in minutes, including:
On-Demand Report Generation
While cloud deployment is pending, Python scripts are run on-demand by the V2Solutions team, enabling fast, reliable report delivery with minimal client effort.
Business Outcomes
Our engagement delivered measurable business impact.
Reduced report processing time from 1–2 days to just 30 minutes—achieving a 96% reduction in turnaround time.
Eliminated manual Excel-based processes and repetitive SQL queries by implementing Python-powered automation with single-click execution.
Enhanced the accuracy, consistency, and traceability of output data through automation.
Freed up valuable analyst time, enabling focus on higher-value, strategic initiatives.
Delivered consistent, reusable intelligence across multiple logistics clients with minimal manual intervention.