The technology team a growing business couldn’t afford ten years ago.
Two senior operators, 20+ years of combined product and engineering experience across Amazon, AWS, large marketplaces and startups. Enterprise rigor without the enterprise overhead.
For years, reliable data pipelines, automated reconciliation and systems that simply agree were luxuries for companies with large engineering budgets. Growing brands got a patchwork of tools, fragile automations and endless spreadsheets.
We started Velvet Arcs after years building logistics, fulfillment, marketplace and infrastructure systems at Amazon, AWS and large commerce platforms. We saw how small gaps between systems, an order routed wrong or a count out of sync, quietly erode margin until the year-end numbers don’t add up.
What changed is the economics. AI has cut the cost of building targeted operational software, so a small team of experienced operators can now give a growing business what used to take an in-house technology organisation. Velvet Arcs is a commerce operations technology practice built on exactly that.
We start with inventory, where the money is most visible and the gap between tools and decisions is widest. A brand can own Shopify, Amazon, a good 3PL and a planner and still not answer four questions: how many units can we actually sell, what should we buy next, where should it go, and when will inbound stock really become sellable. Making those answers trustworthy, explicit and fast is the engineering job. Once inventory is in hand, the same method reaches the 3PL invoice, returns and marketplace payouts.
No junior account reps, no open-ended retainers, no new platform to babysit. Two experienced operators who diagnose one problem at a time, cost it from evidence, fix what’s worth fixing, and keep it running.
The partners
No outsourced teams, no intermediaries. You work with the two people diagnosing and building your fix.
Ankita Yadav
Business diagnosis & client outcomes
A decade in product and growth across Amazon, AWS and venture-backed startups, most recently Principal Product Manager at Symbl.ai. She works with you to pin down the workflow, the economics and the outcome that matters, and keeps every technical decision anchored to it. She’s who says hello first.
Aikansh Garg
Technical diagnosis & build
15+ years in operations and engineering leadership, including a decade building marketplace, fulfillment and supply-chain systems at Amazon, then leading large engineering and operations organisations. He reads what your data means operationally, not just how to connect two APIs, and builds automations that hold up under real volume.
Three things that don’t change
Pragmatism over pedigree. No agency theatre. Outcomes you can verify.
Start from the problem
We don’t recommend technology for its own sake. If a spreadsheet or a checklist solves it reliably, keep it.
Keep what works
You don’t need to replace Shopify, NetSuite or your 3PL. We work inside the tools your team knows, and add workflows, automation or decision support only where the stack leaves a real gap.
Every fix needs an economic case
Success is hours saved, exceptions eliminated, money recovered. If the math doesn’t work, we don’t do the work.
Work directly with two senior operators.
Tell us where inventory keeps going wrong. We’ll tell you how we’d approach it, and whether it needs us at all.