For Industrial & MRO Distributors · $5M to $75M

Done-For-You AI Distributor Scaling Blueprint

We'll audit your Sales, Logistics, and Admin this week and hand you the step-by-step map to migrate your back office from manual chaos to AI-automation by next month. Gain efficiency in your operations so you can scale without adding headcount.

No ERP Overhaul. No 6-figure 18-month timeline. No Complicated Tech.

What's Included in Your Free Operations Audit

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$500
FREE Diagnostic
Includes Automation Playbook
✓ No charge. No obligation. Yours to keep.
Sales Process Audit: how leads come in, how quotes go out, where deals stall, and what's falling through the cracks
Marketing + Outreach Map: customer reactivation opportunities, dormant account sizing, and campaign-ready segments
Logistics + Fulfillment Review: routing, delivery scheduling, warehouse bottlenecks, and supplier lead time gaps
Backend + Admin Audit: invoicing, data entry, reporting, and every manual task eating up your team's hours
Automation Roadmap: which processes are ready to automate now, which need cleanup first, and the exact order to tackle them
90-Day Implementation Playbook: step-by-step plan with timelines, expected ROI, and zero guesswork
⏰ Limited time: complimentary through March 2026. After that, this diagnostic goes back to $500.
Book Your Free Diagnostic Call
Mo Roowala - Founder, DeepLine Operations

Built by an Engineer Who Gets Distribution

Mo Roowala
Data Readiness + Process Automation for Distributors
Founder | CEO

6 years as a firmware and robotics engineer taught me one thing: automation only works when the foundation is right. Embedded controls, sensor integration, production line optimization. Every system I built started with the same question: is the data clean enough to trust?

That's the problem most distributors have. They want AI. They want automation. But their customer data lives in 4 different spreadsheets, their order history has gaps, and their processes were built for a business half the size they are now. I fix that first. Clean the data, map the processes, find what's actually ready to automate, and then build on top of a foundation that won't collapse.

NYU Tandon M.S. in Robotics and Mechatronics. Based in New Jersey. I work with industrial distributors doing $5M to $75M who are tired of paying for tools that don't deliver because nobody fixed the data underneath.

M.S. Robotics, NYU Tandon 6+ Years Data Systems Engineering Data Readiness + Cleanup Process Automation Supply Chain Analytics