Industry Insights

I Weighed Trucks at 3am for Nine Years. Here Is What the Spreadsheets Never Told Me

A former yard operator on the gap between what scale software measures and what actually drains a scrap yard of money. Real numbers, a few uncomfortable admissions, and the metric almost nobody tracks.

Marcus AdeyemiApril 24, 20269 min read

My yard outside Lagos had a rule: if a truck waited more than twenty minutes at the gate, I bought the driver lunch. It started as a goodwill thing. It ended as the most expensive line item nobody put in a spreadsheet.

I want to talk about that gap. Not the software-brochure version where everything is "streamlined," but the actual gap between the numbers a scale system shows you and the numbers that decide whether you had a good month.

From the yard

The Tuesday that changed how I think

One Tuesday in 2017 we processed 280 tickets. Best day of the quarter. I was thrilled until my gate man, Emeka, mentioned offhand that he had turned away nine trucks because the queue was too long and they had other yards to hit. Nine trucks. Roughly 140,000 lb of shred steel that drove past my gate to a competitor because my scale was a bottleneck, not my prices.

Nothing in my system recorded those nine trucks. They were invisible. They were also the most important number of the day.

The metric nobody puts on the dashboard

Every scale package proudly shows tickets processed, total weight, payout. Those are output numbers. They tell you what happened, not what almost happened or what you lost.

The number that actually predicted my margins was queue time: minutes between a truck arriving and that truck leaving with a ticket. Here is what it looked like the year I finally started measuring it properly.

Average truck queue time vs. tickets lost to walk-offs

My yard, 2018 - measured by hand for four months before we automated

0m6m11m17m22mJanFebMarAprMayJunJulAug
Avg queue (min)Walk-offs / wk
Notice the curve is not linear. Past roughly 15 minutes, walk-offs climb fast. Drivers tolerate a short wait. They do not tolerate a long one when three other yards are open.

See that knee in the curve around 15 minutes? That is not a coincidence. A driver hauling for a demolition crew has a route. If your scale eats 25 minutes of it, you are not their first stop next week. You priced yourself out without changing a single price.

When we got serious about this, the fix was not a faster scale. It was removing the three things that made the operator look down at a clipboard instead of at the next truck: re-keying the supplier, looking up today's price, and doing the deduction math by hand.

app.scraplytics.com/tickets/new

New Scale Ticket

Ticket #4,821 · In progress

Save & Print

Gross Weight

24,180 lb

Tare Weight

8,640 lb

Net Weight

15,540 lb

Supplier

Metro Metals LLC

Material

#1 Copper Bare Bright

Price / lb

$3.82

Total Payout

$59,362.80

Live weight feed from Avery Weigh-Tronix bridge #2
The ticket screen we eventually moved to. The point is not that it is pretty. The point is the operator never leaves it: weight streams in from the bridge, the price is already loaded, the payout computes itself. Eyes up, not down.

What automation actually changed (and what it did not)

I will be honest about this because the brochures will not. Automating tickets did not magically make me more money on day one. The materials still sold for what the mills paid. My buy prices did not improve.

What changed was the throughput per gate hour. Same scale, same staff, more trucks through before close. And critically: the walk-offs basically stopped, because a truck was in and out before the driver got impatient.

10.5m

Old avg ticket time

arrival to gate-out

3.2m

New avg ticket time

same scale, same crew

~9/wk

Walk-offs before

trucks we never saw

<1/wk

Walk-offs after

the real revenue line

Insight

The uncomfortable part

For nine years I had been optimizing the wrong end. I obsessed over buy prices, shaving cents per pound. Meanwhile a measurable, recurring pile of revenue was driving past my gate because my own process was slow. The cents mattered. The queue mattered more, and I could not see it because nothing measured it.

If you take one thing from this

Go stand at your own gate next Tuesday morning. Bring a notebook, not a report. Write down the time each truck arrives and the time it leaves. Do it for two hours. Then ask your gate person how many trucks they turned away.

You will learn more about your yard's economics in those two hours than in a month of staring at ticket totals. Then, whatever software you use (ours or anyone's), judge it on one question: does it make the operator faster at the scale, or does it just file paperwork better after the fact?

Those are very different products. I spent too long buying the second one and calling it the first.

The cents per pound mattered. The minutes at the gate mattered more, and nothing on my dashboard measured them.

- Marcus Adeyemi
MA

Written by

Marcus Adeyemi

Head of Operations Research, Scraplytics

Marcus ran a 40-acre ferrous yard in Lagos for nine years before joining Scraplytics. He has weighed more trucks at 3am than he cares to admit and still keeps a carbon-copy ticket pad on his desk as a reminder.

Tags:scrap yard operationsyard efficiencyqueue timeoperational data
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