Auctioneers ask the same question every time: “this AI thing — does it actually save us time, or is it just another tool to learn?” Here’s the maths from real UK rooms running Snaplot for the first three months.
The baseline: how long does cataloguing actually take?
Time-and-motion across six rooms (general antiques, industrial, estate clearance, vehicles, fine art, modern design) gave us:
| Lot type | Average minutes per lot (manual) |
|---|---|
| General antiques (Victorian furniture, ceramics, silver) | 6–8 |
| Box of “bits” (mixed-content lot) | 3–5 |
| Industrial / commercial (machinery, plant) | 5–7 |
| Vehicles (cars, vans) | 10–14 |
| Fine art (paintings, sculpture) | 12–18 |
| Modern design (Ercol, mid-century) | 4–6 |
Call it 7 minutes per lot as a rough average. A 200-lot weekly sale = ~23 hours of cataloguing. A full-time job for almost three days, every week.
What changed with Snaplot
Same six rooms, same lot types, three months in:
| Lot type | Manual minutes | With Snaplot (photograph + edit) | Saving |
|---|---|---|---|
| General antiques | 6–8 | 1.5–2.5 | ~70% |
| Box of bits | 3–5 | 1–1.5 | ~70% |
| Industrial | 5–7 | 1–2 | ~75% |
| Vehicles | 10–14 | 2.5–4 | ~75% |
| Fine art | 12–18 | 4–8 | ~55% |
| Modern design | 4–6 | 1–1.5 | ~75% |
What the time savings actually translate to
The 200-lot sale at 7 min/lot → 23 hours. With Snaplot, ~6 hours. That’s not “I have an extra afternoon”. It’s “I have an extra 2.5 days every week to do everything else the auction house needs”.
What does that look like in practice across the six rooms tested?
- One room added a sale per month. The cataloguing time freed up enabled an extra timed online sale, no headcount change.
- One stopped using a freelance cataloguer. £400/month saved.
- One re-deployed cataloguing time to consignment chasing. Bigger sales, same effort.
- One actually went home at 6pm. Their words: “I haven’t had a Wednesday evening in fifteen years.”
Where Snaplot doesn’t save time
Honest disclosure — the time savings are smaller in two situations:
- High-value specialist lots where the cataloguer needs to research provenance, attribution, exhibition history. The AI gets the routine done; the specialist still spends the hours on the bits that need expertise. Saving here is more like 30–40%.
- The first week. You spend time learning what the AI does well and what it doesn’t, building a quick mental model of when to trust the draft and when to rewrite. Most rooms hit steady-state by the end of week two.
The hidden saving: catalogue consistency
Beyond the time on the clock, the AI writes in one voice across the catalogue. No “this lot was done by Sarah on Tuesday and reads like Sarah, this one was done by Mark on Friday and reads like Mark”. Repeat bidders notice consistency. So do post-sale buyer queries — fewer of them, because the descriptions follow the same structure every time.
Try it on your next 100 lots
Free 100-lot trial, no card required. Run a parallel test on a sale — Snaplot for 50 lots, your existing process for 50 lots. Compare time spent, output quality, post-sale queries. The maths becomes obvious within one sale.