Automate quotes · manufacturing case study
Automate quotes without losing control of your pricing: that’s what Meriaky built for Davy Tsayid, founder of Boîtes PDL. He pastes the customer’s request, the AI calculates and suggests a price. Then the dashboard sorts every order: profitable, borderline, at a loss. But he keeps the final say.
The number that started it all
-$5,000
a month with $38,000 in sales, finished at a loss. He only found out weeks later, compiling the numbers by hand.
Today, the margin on every order shows up before production. A month like that can’t hide anymore.
The problem
Davy makes custom cardboard boxes for small industrial businesses. In six months, he had tripled his sales. Yet a month with $38,000 in revenue ended at -$5,000. On top of that, every quote came out of 3 tools that don’t talk to each other, with the pricing rules in his head.
Every quote built by hand across 3 tools
15 minutes to 1 hour per quote, about ten a day
All the pricing rules in his head: impossible to delegate
Margin visible only at the end of the month, compiled by hand
He pastes the customer’s request, the AI suggests the price
One single engine, plugged into his real history
His pricing rules written down in black and white
Then the margin shows up order by order, before production
The system
In other words, here is the path of a quote at Boîtes PDL, from the customer’s email to the price sent out.
The request comes in
he pastes the customer’s email or PDF, as is
The AI recognizes the request
the customer, the box type, the dimensions, the grade
The price is calculated to the penny
raw material, machine time, pallets: his codified rules
The human checkpoint
He keeps the final say
the AI compares with past quotes, gives him advice, and he approves the price
His margin, already visible
every quote goes into the dashboard: profitable or not, he knows before producing
The result
Rising revenue means nothing if the margin doesn’t follow. Choosing to automate quotes gave Davy the answer he was missing: is this order making me money? So the engine calculates the price, and the dashboard sorts every quote: profitable, borderline, at a loss. Before, he found out at the end of the month. In other words, too late.
Time spentat the end of the month, compiling by hand
Time spentbefore accepting, order by order
Email, calculation, price, dashboard. He approves, then he produces.
10 h / week
spent building quotes by hand, before: up to a third of his time
1 single tool
before, his prices lived in 3 files and dozens of tabs. He kept getting lost in them. Today, everything is in one place.
2nd project
after delivery, Davy entrusted Meriaky with steering his production
His take
“It’s like I was running with a leaky bag of rice without knowing it. He helps you pick up all the grains that fall. Everything that trickles out of your revenue, he helps you get it back.”
“I had quoted $5.50 in my file. And the calculator came out at $5.45. That was a 5-cent difference, extremely precise.”
Davy Tsayid, founder, Boîtes PDL · Discover Boîtes PDL →
What he sees“They’re really good, they’re really good.” The engine’s results, compared to his own files. And on the AI’s advice: “two or three tips that are always relevant”.
The simplest proofAfter the first delivery, he signed a second project: steering his production. And he shows the system to other business owners: “very impressive”.
In short
Meriaky first got Davy's pricing rules out of his head and wrote them down in black and white. Then, an AI quote engine: he pastes the customer's email or PDF, the AI recognizes the box type, calculates the raw material and suggests a price. Finally, a dashboard shows the margin order by order, with a color code: profitable, borderline, at a loss.
No. The AI suggests a price, compares it to the customer's history and flags quotes that were lost before. Then Davy approves every price before it goes out. In other words, choosing to automate quotes didn't take away his final say: it gave him the numbers to make the call.
No. His pricing rules are documented, and he adds new box types to the engine himself, with guidance at first. Plus, the system lives in his own tools. In short, the quote engine is an asset that belongs to Boîtes PDL.
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