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  • The “Hamburg Score” of Moving Surveys:

The “Hamburg Score” of Moving Surveys:

The “Hamburg Score” of Moving Surveys:
The “Hamburg Score” of Moving Surveys:

Why Our Industry Needs a Real ComparativeTest**
(With AI, Digital Inventory, Cubesheets — and Real-World Results)

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Introduction

In December 2025, a LinkedIn post from Zach Rattner, CEO and Co-Founder of Yembo, sparked an unexpected chain reactionacross the moving industry.
He announced that their new AI vision model improved survey accuracy by 30%:

“Yembo just released a new vision AI model…improving accuracy by more than 30%.”
https://www.linkedin.com/posts/zachrattner_yembo-just-released-a-new-vision-ai-model-activity-7399431801464786944-IT2v

A bold statement — and a meaningful one for anyone involved in pre-move inspections and volume estimates.

Because if accuracy improved by 30%, it implies that:

  • previous error margins were at least 30%, and
  • some level of error still remains — say 10% or more.

In practical terms, this means a potential 40% variance in a field where every cubic meter matters.

And that triggered a simple, long-standing question:

How can any system — human or AI — determine packing materials and box counts based solely on exterior views of closed cabinets?

This question had been circulating privately for years.
This time, it landed publicly.

_________________________________________________________________

The LinkedIn Question That Started It

Here was the question:

How does an AI survey determine the number of packing boxes required for the contents of a closed cabinet — when it only sees the outside?

To Zach Rattner’s credit, he didn’t delete the comment or ignore it.
He responded honestly:

“We make an assessment based on millions of historical inspections, and allow the mover to configure behavior based on their preferences.”

That transparency deserves respect.

And it inspired a bigger idea.

_________________________________________________________________

The Case for a Real Comparative Test

(AI surveysvs. digital inventory vs. cubesheets — judged by actual operational results)

What if we finally answer the question the entire industry has been dancing around?

Let’s run a real test.

A test that compares:

  • Yembo and similar AI survey tools,
  • VMT / SurveyPlus style hybrid tools,
  • Voxme Estimator app users,
  • and traditional cubesheet surveyors.

Then, compare all predictions with actual field results:

📦 actual inventory list
🚚 actual truck and container load volume
📦 actual box and material consumption

No marketing claims.
No theoretical accuracy.
Just reality.

A survey tool is only as good as its abilityto predict:

  • volume,
  • materials,
  • labor,
  • load feasibility.

Let’s measure those outcomes directly.

_________________________________________________________________

Judges for Full Transparency

To eliminate bias, respected industry leaderscould act as neutral referees:

  • Ray daSilva
  • Matthieu Odijk

People who have no need to embellish or protect egos — only the truth matters.

This would be the moving industry’s version of the old circus wrestling tradition known as:

“The Hamburg Score”

When performers gathered behind closed doors in Hamburg to determine who was actually the strongest — no audience, no promotion, no illusions.

So let’s ask:

Who’s ready to go to Hamburg?

_________________________________________________________________

Why Volume Alone Is NOT the Problem

(The real challenge is box count — and the consequences are massive)

As several commenters pointed out, including Max Kreynin:

“Packed volume estimate is one of the core products of any survey tool.”

True. But the real operational pain point is not cubic volume.
It’s box count.

Let’s take the same cabinet.

From the outside:

  • You see 3 cubic meters.
  • Any AI, surveyor, or cubesheet will record ~3 m³.

But what’s inside changes the move entirely:

_________________________________________________________________

Scenario A: Clothing

  • ~20 flat clothes boxes
  • ~270 kg total weight

Scenario B: Books

  • ~60 book boxes
  • ~1,800 kg total weight

The cabinet is identical externally —
but operational requirements differ by a factor of three in box count and seven in weight.

If the estimator does not explicitly indicate “book boxes”, the crew will compensate by using dish-pack boxes.

Each dish-pack with books weighs ~70 kg.

At that point:

The estimator may want to avoid meeting the crew for a few days.

This isn’t a theoretical problem —
it happens in the field every week.

And this is precisely why AI-only exterior recognition cannot reliably determine packing material requirements.

_________________________________________________________________

Industry Reaction: Curiosity, Support — and… Betting Pools?

The LinkedIn post generated immediate interest:
https://www.linkedin.com/feed/update/urn:li:ugcPost:7402668451577966592

Some of the responses:

“Brilliant idea… rather than continuing with placebos and guesswork, you can orchestrate a real test.”
Max Kreynin, Managing Partner, Voxme Software Inc.

Rumor has it that someone in the industry has already started taking bets on how the test will unfold.

A Hamburg score indeed.

_________________________________________________________________

Why This Matters for the Future of Moving Technology

This is not about ego, or about proving one tool better than another.
This is about:

  • safety,
  • cost accuracy,
  • customer trust,
  • crew wellbeing,
  • operational planning,
  • and the credibility of our industry.

Whoever can accurately predict:

  • volume,
  • box count,
  • materials,
  • weight,
  • time,
  • and on-site conditions…

…will define the next decade of moving technology.

_________________________________________________________________

Conclusion: The Door to Hamburg Is Open

The conversation started with a simplequestion:

How can you know what’s inside, by looking only at the outside?

That question has now evolved into an opportunity:

A neutral, transparent, real-world comparative test of survey technologies.

The Hamburg Score of the moving industry.

We’ll keep you updated as events unfold —
and as the contenders step into the ring.

 

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