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Umzugsauktion · Moving Estimator

A walkthrough video in, a removals quote in seconds

The customer films their own home. Computer vision identifies and counts every object, estimates dismantling, handling and transport time, and returns a priced quote.

The resultA survey that took days of manual assessment now returns a quote in seconds, from a video the customer shoots themselves.

Sofa ×1Wardrobe ×2Boxes ×12
Quote ready
Inventory · deduplicatedminutes
Sofa×134
Wardrobe×296
Boxes×1224
Dismantling1 h 42
Vehicle7.5 t
Quote returnedin seconds, not days
Client
Umzugsauktion GmbH & Co. KG
Industry
Logistics
Region
Germany
Year
2025
The problem

A list of furniture is not an estimate.

Surveys are slow, phone estimates are wrong, and neither gets at the thing the price actually depends on: the work the move takes.

  1. 01

    The survey visit

    Quoting a house move means knowing exactly what is being moved. Traditionally that requires a surveyor to visit, walk every room, and write down the contents by hand — scheduling, travel and a report that lands days later, by which time the customer has often booked someone else.

  2. 02

    The phone call

    Estimating from a phone call instead is worse. Customers underestimate what they own, forget the loft, and describe a wardrobe without mentioning it has to come apart to leave the bedroom. The quote is wrong before the van is booked.

  3. 03

    The count

    And the cost is not in the object count. It is in labour: what has to be dismantled, what needs two people, what will not fit through a door, and how long each of those takes. A list of furniture is not an estimate.

01 Film

Let the customer do the survey.

The customer walks through their home filming on an ordinary phone. No appointment, no surveyor, no waiting — the input is something they can produce in ten minutes on the evening they decide to move.

  • Customer-recorded video walkthrough as the survey input, on any ordinary phone.
02 Detect & count

Identify and count every object.

Computer vision detects furniture, appliances and boxes across the walkthrough, classifies each by type and size, and — critically — deduplicates across frames so a sofa filmed from three angles is counted once rather than three times.

  • Object detection and classification across furniture, appliances and packed boxes.
  • Cross-frame deduplication so each item is counted once across the whole walkthrough.
Sofa · #01
Living room
frame 01 / 32
1 of 32 frames sampled
In this frame1 detected
  • #01SofaNew — counted
Inventory · deduplicatedcount
  • SofaFurniture · size L · seen in frame 01×1
1 items, each counted once1 sightings
Fig. 1–3 Customer walkthrough video as the survey input · Objects detected and classified across frames · Deduplicated inventory with counts. Drag through the flat, then switch how it counts. Sample walkthrough.
03 Estimate the work

Estimate the labour, not just the inventory.

Each identified object carries dismantling, handling and reassembly times, adjusted for access — stairs, doorway widths, floor level. The model estimates the work the move actually requires rather than the volume it occupies.

  • Per-object dismantling, handling and reassembly time estimation.
  • Access-aware adjustment for stairs, doorways and floor level.

Try it: put the flat on the fourth floor with no lift, then narrow the doorways. The sofa and the fridge now have to come apart to leave; the carrying time climbs. The volume never changes.

Access · this moveset by you
Floor
Way down
Doorways
Volume · what it occupies14.6 m³
Work · what it takes7 h 01

Ground floor, standard doors. Now change the access: the volume will not move; the work will.

  • SofaTwo-person carry—24—
  • TVWrapped, carried upright—8—
  • BookcaseShelves out, flat-packed121012
  • Boxes ×10Carried and stacked—20—
  • FridgeTwo-person carry, kept upright—18—
  • Washing machineDisconnected, two-person carry—16—
  • Dining tableLegs off, reassembled101010
  • Chairs ×4Carried and stacked—12—
  • Double bedFrame dismantled and rebuilt251430
  • Wardrobe ×2Dismantled to leave the bedroom, rebuilt703670
  • Chest of drawersDrawers out, two-person carry—14—
Dismantling1 h 57
Handling & carry3 h 02
Reassembly2 h 02
Fig. 4 Labour and time breakdown per object. Times are illustrative.
04 Price & return

Price it and return it immediately.

Labour, transport time, vehicle size and distance resolve into a priced quote returned while the customer is still on the site — turning a multi-day sales cycle into a single session.

  • Volume and vehicle-size calculation from the recovered inventory.
  • Instant priced quotation, replacing a manual on-site survey.
  • Itemised breakdown the customer and the operations team can both audit.
Before
  1. Book a surveyor
  2. Travel
  3. Walk every room
  4. Write it up by hand
  5. Report, days later
Now
  1. Film on a phone
  2. Upload
  3. Quote, while still on the site
Distance
Who is reading
Your removals quote
Three-room flat · 24 items
Returned in seconds
Labour7 h 01
Transport time2 h 30
Vehicle7.5 t truck
DistanceRegional
  • SofaTwo-person carry
  • TVWrapped, carried upright
  • BookcaseShelves out, flat-packed
  • Boxes ×10Carried and stacked
  • FridgeTwo-person carry, kept upright
  • Washing machineDisconnected, two-person carry
  • Dining tableLegs off, reassembled
  • Chairs ×4Carried and stacked
  • Double bedFrame dismantled and rebuilt
  • Wardrobe ×2Dismantled to leave the bedroom, rebuilt
  • Chest of drawersDrawers out, two-person carry
  • AccessGround floor · standard doorways
Your price

Every line says what will be done to what — so the customer can check the quote against their own home.

Fig. 5 Instant priced quotation. Switch reader to see the same quote itemised for operations. No prices are shown on this page.
How it's built

One video in, one quote out.

The walkthrough video is uploaded and sampled into frames, passed through detection and classification, deduplicated into a single inventory, then costed — each object contributing dismantling, handling and transport time before the pricing engine returns a quote.

  1. 01InputCustomer video walkthrough
  2. 02InputFrame sampling
  3. 03VisionObject detection & classification
  4. 04VisionCross-frame deduplication
  5. 05ModelInventory model
  6. 06CostingLabour & time estimation
  7. 07CostingVolume & vehicle sizing
  8. 08OutputInstant quote
What we built with

Vision on the video, a pricing engine behind it.

  • Computer Vision
  • Object Detection
  • Deep Learning
  • Python
  • Video Processing
  • React
  • Cloud
Outcome

What changed.

On-site surveys replaced by a video the customer records themselves

Quotes returned in seconds rather than days

Estimates built on labour and access, not object count alone

Each item counted once across the full walkthrough

An itemised breakdown both customer and operations can audit

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