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OperateAI
Case Studies

Real problems. Real systems. Real numbers.

No vague case studies. Specific metrics from specific solutions built for specific clients.

Last updated: June 2026

Footwear retail · Jaipur (name withheld)

60–70

Serious buying conversations a day

9 seconds first reply time

From 10–15 serious buyers a day to 60–70

WhatsApp Business API (official)AI enquiry agentMeta + Google Ads

From 10–15 serious buyers a day to 60–70

Challenge
Ads brought 200–250 WhatsApp enquiries a day. He could answer 70–85 himself.
Built
A WhatsApp AI agent on his own number, answering every enquiry in 9 seconds.
Enquiries left unanswered~170 → 0

B2B SaaS · Global

23.4%

Reply rate

11 qualified replies in first 48 hrs

An outreach system that fills the sales pipeline on its own

n8nClaude APIPython

An outreach system that fills the sales pipeline on its own

Challenge
3–4 hours a day on prospecting and near-identical emails, for 2–3 replies a week.
Built
An n8n pipeline that finds prospects, writes each email with Claude, and sends it.
Human input neededZero

Manufacturing · Fortune 500

30%

Manual error reduction

+15% efficiency improvement

Live production reports instead of stale paperwork

PythonDashboardsData Pipelines

Live production reports instead of stale paperwork

Challenge
Paper forms got retyped into spreadsheets. The weekly report took 8–10 hours.
Built
Python pipelines feeding live dashboards, so decisions run off current numbers.
Process delays cut20%
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