Pricing intelligence

AI pricing intelligence for custom furniture.

Price each quote to win the sale and earn a little more — learned from what your customers and the market actually pay.

Built by MIT Engineer
2,000+
Build combinations
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The model
Under the hood
What we do for you

You know your costs. We show you what to charge.

The hard part was never your cost — it's knowing what this customer will pay, and what the market gives for this exact build. SharpInsight learns both from your own quotes, so every quote is priced to win and to earn.

Read what each customer values

From your own quotes and sales, we learn which options a buyer will happily pay for — so you quote, and upsell, to what they actually want.

Price to the market, build by build

Know what comparable custom builds fetch locally — so you don't leave money on a popular config, or lose a deal by a hair.

Win the sale, earn more

For each quote, the price most likely to close at the best margin. Same foot traffic — more closes, a little more per sale.

Under the hood

Real pricing science. Built for furniture.

Not a flat markup — proven models that learn from your own quotes and the local market, tuned to how a custom sofa is built.

Reads every option

Prices from each build attribute — grade, fill, size, layout — so nothing rounds off.

Hedonic pricing

Knows what's worth more

Learns how much each upgrade is really worth to your buyers — from real choices.

Conjoint analysis

Knows what wins the sale

How price moves the chance of closing — so you don't lose a deal by a hair, or leave money on the table.

Demand & elasticity

Lands the right price

The number that protects your margin and still wins the sale.

Optimization
Free · No commitment

See it on your own catalog.

Leave your company and email — we'll set up a short walkthrough on your real quotes, and show you, build by build, how to price to win and earn more.

Or reach us directly: 617-335-7816 · ray@sharpinsight.ai

SharpInsight.ai · AI pricing intelligence for custom furniture · Built by an MIT engineer