AI & Automation Sales & Lead Generation Production Deployed

Leads Processing Automation

A Python automation that turned a three-hour manual lead-cleaning task into a job that finishes in minutes, with no recurring cost.

CLIENT SECTOR

B2B Sales Team

DELIVERY ARCHITECT

M. Sohail

DELIVERY STATUS

100% Complete & Active

IP & CODE OWNERSHIP

Full Client Handover

THE OPERATIONAL BOTTLENECK & CHALLENGE

A client reached out to us through one of our channels with a recurring headache. Every week he received a large leads spreadsheet and had to clean it by hand: normalising company names, pulling the client's first name out of their full name, standardising city spellings, and splitting the list by email provider. It took roughly three hours each time and mistakes slipped through.

THE CUSTOM ARCHITECTURE & SOLUTION

After understanding his exact workflow, we built a dedicated Python application that ingests the raw CSV, normalises company names, extracts first names, standardises city names, and exports two clean files: one for contacts on Microsoft email and one for everyone else. We tested it against his real data until the output matched what he would have produced by hand, only faster.

Quantifiable Business Outcomes

Measurable Results & Return on Investment

Three hours of manual work reduced to a few minutes

Consistent, accurate output with no human slips

Runs locally for life with no per-task limits or subscription

Technology Stack Applied

Python Pandas CSV Processing Data Normalisation

Direct Engineering Consultation

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We evaluate your existing infrastructure, identify operational bottlenecks, and deliver an actionable technical blueprint within 24 hours.

24-Hour Scope Estimate

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100% Full Source Handover

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