AI Pricing Isn't Magic — It's Margin Engineering

The misconception

When merchants hear "AI pricing engine," they often picture surge pricing — the kind airlines and Uber use that feels exploitative. Raise the price when someone's desperate. Capture maximum willingness to pay.

That's one use case. It's also the wrong one for most retail merchants, and it's not what BestWebby's engine does by default.

What dynamic pricing actually is

Dynamic pricing is the practice of adjusting prices based on signals that affect demand and supply — and optimizing for a specific business objective. That objective might be:

• Revenue maximization — get the most total revenue, accepting lower volume
• Margin maximization — protect gross margin, especially on perishable or seasonal stock
• Velocity maximization — move units fast, accepting lower margin
• Competitive positioning — stay within X% of the market price

The AI engine doesn't have a fixed objective. You define what you're optimizing for, within price floors and ceilings you set.

The signals that actually matter

For most retail merchants, the relevant signals are:

Demand signals:

• Sales velocity over the past 7 and 30 days vs. prior periods
• Category trending on social platforms (product-level, not just brand)
• Seasonal patterns from your own historical data
• Cross-merchant aggregate demand (opt-in, anonymized)

Supply signals:

• Current stock level vs. reorder point
• Incoming PO quantities and expected arrival date
• Competitor out-of-stock events

Behavioral signals:

• Add-to-cart rate on product page (high add-to-cart with low purchase = price might be close to the boundary)
• Time-on-page distribution for pricing variants (A/B data)

What the engine does in practice

Here are real examples of the decisions BestWebby's pricing engine makes autonomously:

Slow-moving seasonal stock: Spring inventory from March is still sitting in May. Engine detects the velocity drop, compares to prior year, and reduces price by 15% to accelerate sell-through — staying above your floor.

Trending product: A SKU is gaining social traction. Engine detects the velocity spike, compares to historical price elasticity for the category, and raises price by 8% to capture margin while demand is elevated.

Competitor out-of-stock: Engine detects that a major competitor's key SKU is showing "out of stock" across their channels. Raises price by 5% on your equivalent product. Stays competitive without leaving margin on the table.

Weekend pattern: Your category sells 40% more on Fridays and Saturdays than weekdays. Engine applies a weekend markup within your ceiling. You set it once; it runs forever.

The guardrails

None of this happens without your control. You define:

• Price floor: the minimum you'll ever sell at (usually your cost + target margin)
• Price ceiling: the maximum you'll charge (usually MSRP or a percentage above it)
• Adjustment frequency: how often prices can change (per hour / per day / manual review required above X% change)
• Categories to exclude: promotional items, loss leaders, or anything with price-match guarantees

The engine operates within those rules. You review any change above your threshold before it publishes.

What to expect in the first 90 days

Based on merchant data across our platform:

• Most merchants see gross margin improvement of 8-18% in the first 90 days
• Inventory turnover improves as the engine accelerates slow-moving stock
• The biggest gains come from seasonal categories where manual pricing simply doesn't keep up with demand shifts

The engine doesn't work as well for commodities with highly elastic demand (where customers are price-shopping and you have no differentiation). For those, the floor and ceiling tend to converge.

Getting started

The engine activates automatically. The first thing to do is audit your current price floors — many merchants have outdated floors from years ago that no longer reflect current input costs. Set them correctly, and the engine will never sell below your margin target.

Everything else it figures out.