How SellerSouk's AI valuation works

Three inputs, not a black box

When you upload a photo of an asset to sell, SellerSouk generates an instant offer in seconds. That number comes from three concrete inputs, not a guess: a category-specific depreciation curve, a condition-score multiplier, and — where they exist — real comparable sales for that exact make and model.

We're deliberately specific here because "AI valuation" is often used as a black box in resale platforms. Ours isn't: the model is a documented formula, not a hidden algorithm, and the same logic prices every listing on the marketplace.

1. Category depreciation curves

Every asset category on SellerSouk — office furniture, IT equipment, kitchen equipment, hospitality FF&E, medical equipment, materials surplus, and industrial machinery — has its own depreciation curve, because they lose value at genuinely different rates. IT equipment depreciates fastest: a laptop or server loses meaningful value within 18–24 months as newer generations ship. Medical equipment holds value longest, often 6–7 years before hitting its floor, because clinical-grade hardware stays functionally relevant far longer than consumer electronics.

Each curve has a floor — a minimum retained value below which we don't price an item, since even fully depreciated equipment usually has some resale or scrap value. The curve itself is an exponential decay: value drops fastest in the first couple of years, then levels off as the asset approaches its floor.

2. Condition score

You (or our AI photo assessment) score an asset's physical condition from 0–100. That score feeds a multiplier: an item in like-new condition (100) prices close to what the depreciation curve alone would suggest, while a heavily worn item (closer to 0) prices down toward something closer to component or scrap value. Condition is the single input a seller has the most control over — accurate photos and honest condition reporting materially change the offer.

3. Real comparable sales

Where we have enough real sales history for the exact make and model — sold either on SellerSouk or sourced from other UAE/GCC marketplaces — we weight recent, condition-similar comps more heavily than older or dissimilar ones. This comps-based estimate is blended with the depreciation-curve estimate, so pricing reflects both the theoretical decay model and what buyers have actually paid recently.

The more comps we have for a given model, the more the price leans on real market data rather than the modeled curve — which is also why our confidence score is higher for common models like a Steelcase Leap V2 chair than for a one-off piece of industrial machinery with no sales history.

What this means for you

Every listing on SellerSouk shows the same asset-intelligence panel buyers and sellers both see: market value, demand tier, expected days to sell, and a confidence score reflecting how much real comp data backed the estimate. It's an estimate, not a guarantee — the exact price a specific item sells for still depends on individual condition and buyer negotiation. You can see the live model in action on any active listing in the marketplace.