A US-based ecommerce company was drowning in manual work across content, orders, and sales. Makez deployed four AI agents. The ceiling disappeared.
200,000+
Products in catalog
500+
Hours saved per month
5
AI agents deployed
$250M
Revenue goal
The Problem
Ambition was never the problem. The team wasn't falling short for lack of effort — they were spending their best hours on work that shouldn't require humans at all.
200,000+ products. 8 people. 1–3 hours per product. The backlog was growing; content generation was stuck, with direct impact to growth.
Every incoming purchase order had to be manually read, extracted, and typed into the OMS. No exceptions. No shortcuts.
Catalog, orders, suppliers, logistics — all separate, none connected. A person copy-pasting between systems, all day, every day.
Status updates lived in emails, calls, and spreadsheets simultaneously. Customer teams answered questions that ops couldn't reliably answer either.
Pricing lookups, margin checks, proposal formatting — all done by hand. The sales team's best hours were buried in admin, not new business.
And they were solving it by hiring. Every new person added operational complexity, not capacity.
What Makez Built
20 min
per product page
AI agents scrape supplier sites, PDFs, and spec sheets — then generate product pages ready for human review. No manual writing.
0
manual data entry per PO
Multi-agent pipeline reads POs from email, extracts line items with confidence scores, flags exceptions, and submits directly to OMS.
∞
systems we can connect
Supplier feeds, OMS, logistics, catalog, CRM — Makez plugs into your existing stack without rip-and-replace.
1
source of truth, always
Agents monitor shipments across suppliers, consolidate status updates, and surface exceptions before they reach the customer.
75%
faster per quote
Fully automated pipeline handles pricing lookups, margin validation, and final proposal generation. Sales reviews and sends — no manual build.
200+
targeted blogs published
Agents research and write SEO-targeted product blogs grounded in medical accreditations and clinical sources. Every post goes through human review before publishing — zero authenticity risk across 200+ articles.
System Architecture
Makez plugs into supplier feeds, OMS, logistics, catalog, and CRM — keeping them in sync without touching existing infrastructure.
Supplier Feeds
Data In
PO / Email
Orders In
Product Catalog
Content In
Quote Requests
Sales In
5 Agents · Live
eCommerce
Live Pages
OMS
Orders Processed
Logistics / WMS
Shipments Tracked
Sales Proposals
Quotes Out
Blog Platforms
200+ SEO Articles
Agents running
5
Systems linked
8+
Data entry
0 manual
Tools replaced
None
How It Started
The first thing we did was show up — in their office, at their desks, watching how the operation actually ran. Every business has two versions of its problems: the official one, and the real one.
The real one lives in the workaround nobody questions, the process that exists because nobody fixed the system underneath it. You only find it by being present.
Engineering with ops. Sales with fulfillment. Each visit made the picture sharper — and the right solutions more obvious.
We started small — one pipeline, one workflow, one problem solved cleanly. Each delivery earned the next conversation.
“Their team met us halfway. They shared the difficult parts, flagged what wasn't working, and trusted us with the full picture. That trust shaped everything we built.”
How we worked
The Impact
Not projections. Not estimates. Results already being delivered.
85%
Faster product pages
75%
Faster quote turnaround
80%
Less manual PO processing
500+
Hours saved every month
200,000+
Products in catalog
A catalog that was permanently backlogged is now fully scalable — without adding headcount. Every new product page is AI-generated and human-reviewed, not hand-typed by someone who had better things to do.
In Summary
The result: an operation that now scales with the business, not against it. And a $250M goal that no longer feels like a stretch.
Talk to our team and see how Makez deploys autonomous AI workflows — and what 4 agents could do for your business.