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Case Study

LLM Workflow Automation: Replacing 14 Manual Processes with One AI Platform

How we used Claude and GPT-4o together to automate end-to-end business workflows for an e-commerce company — saving 1,200 hours/month across finance, ops, and marketing.

AM
Arjun Mehta
Head of AI Engineering
11 min readOctober 20, 2025

The Situation

A mid-sized D2C e-commerce company (₹180Cr ARR) had 14 manual processes consuming 1,200+ hours per month across teams:

  • Finance: reconciling 3 payment gateways, generating P&L summaries
  • Operations: supplier communication, inventory reorder decisions
  • Marketing: weekly performance reports, ad copy refresh, influencer brief writing

Each process had a human doing largely mechanical, rule-based cognitive work — exactly what LLMs excel at.

The Platform We Built

A workflow automation platform with three layers:

Trigger Layer

HTTP webhooks, scheduled cron jobs, and event streams (Kafka) trigger workflows. Each trigger carries structured context that flows into the AI processing layer.

AI Orchestration Layer

We use a router that dispatches to the right model based on task type:

  • Claude 3.5 Sonnet: Long-document analysis, report writing, nuanced judgment calls
  • GPT-4o mini: High-volume classification, data extraction, structured output generation
  • Claude Haiku: Simple transformations, formatting, low-latency responses

class WorkflowRouter:

def route(self, task: WorkflowTask) -> str:

if task.type in ["report_generation", "document_analysis", "judgment"]:

return "claude-3-5-sonnet-20241022"

elif task.type in ["classification", "extraction"] and task.volume > 1000:

return "gpt-4o-mini"

elif task.latency_requirement_ms < 500:

return "claude-haiku-4-5-20251001"

return "claude-3-5-sonnet-20241022" # default

Integration Layer

Pre-built connectors for Shopify, Razorpay, Google Sheets, Slack, WhatsApp Business, and email. Custom connectors via REST API template.

Three Flagship Workflows

Workflow 1: Weekly Business Intelligence Report

Aggregates data from 8 sources → Claude analyzes trends → generates 15-page executive report with insights, anomalies, and recommendations → delivered to leadership every Monday 8 AM.

*Replaces: 18 hrs/week of analyst time*

Workflow 2: Supplier Communication Agent

Monitors inventory levels → when reorder point is hit, drafts purchase orders with negotiation context from historical pricing → sends via WhatsApp Business API → updates ERP on confirmation.

*Replaces: 6 hrs/day of procurement team work*

Workflow 3: Ad Creative Refresh

Every Monday, analyzes previous week's ad performance → identifies underperformers → generates 20 replacement copy variants per ad set → sends for human approval → auto-publishes approved ads.

*Replaces: 12 hrs/week of performance marketing team*

Results

ProcessHours Saved/MonthQuality Improvement
Finance reconciliation180 hrsError rate: 4% → 0.3%
BI reporting72 hrsReport delivery: 3 days → same day
Supplier comms130 hrsReorder fulfillment rate: 78% → 96%
Ad creative48 hrsCTR improvement: +34%
Total1,240 hrs/mo

ROI achieved in month 2. The team was redeployed to higher-value strategic work.

LLMWorkflow AutomationClaude APIOpenAIE-CommerceOrchestration

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