Kaleem K

Here's what most DTC brands don't realise: You're not short-staffed. You're drowning in manual operations that should have been automated two years ago. I know because I've lived it. Nearly a decade working brand-side and agency-side in DTC, from Flipkart to scaling direct-to-consumer brands doing $2M to $50M/year. I've watched brands hire a $65K/year ops coordinator to do work that an AI agent handles in 10 minutes. That's when I had the realisation that changed my career: the biggest bottleneck in DTC isn't talent or budget. It's the 100+ hours/month your team wastes on repetitive tasks that a well-built automation runs while you sleep. Now I build those automations. Recent results: → Built a Budget Optimisation Agent that pulls live data from Google Ads and Meta, analyses ROAS across every campaign, and reallocates spend automatically. One client saw 10x ROAS with zero manual budget management. → Replaced 20+ hours/week of manual reporting across 5 wellness brands. Their teams were copy-pasting from Meta Ads, Google Ads, Shopify, and GA4 into spreadsheets every morning. Now, a branded performance email hits their inbox before they log in. What I deliver for DTC brands: → Automated reporting that's ready before your team starts their day → AI agents that handle customer inquiries, lead qualification, and follow-up 24/7 → Workflow automations across marketing, sales, and operations that replace 2 to 3 manual roles I use Make.com, n8n, and AI to build these systems. No code, no developers, no 6-month timelines. Most projects are live in 2 to 4 weeks. Here's my hot take: if your DTC brand is doing $2M+ and you still have humans copy-pasting data between platforms, you're literally paying people to do a robot's job. That's not a staffing problem. It's an automation problem. Want to see what's automatable in your ops? → DM me "AUTOMATE" and I'll show you the 3 workflows worth building first → Or grab 30 minutes here: https://calendly.com/kaleemkhokar32/ai-automation-discovery-call