Smart Pricing Intelligence

Smart Pricing Intelligence uses AI to analyze market conditions, competitor pricing, and your sales data to recommend optimal prices for your products. It helps you maximize revenue without manual research or guesswork.

How It Works

The pricing engine continuously monitors three data sources:

1. Your sales history — Analyzes how price changes have affected your conversion rates, revenue, and units sold over time.
2. Competitor pricing — Tracks pricing for similar products across public marketplaces. The AI matches competitors by product category, brand positioning, and target market — not just by name.
3. Market signals — Factors in seasonality, demand trends, inventory levels, and promotional calendars to anticipate pricing opportunities.

Based on this data, the AI generates pricing recommendations for each product in your catalog. Each recommendation includes a confidence score and an explanation of the reasoning, so you can make informed decisions.

Setting Up Smart Pricing

1. Navigate to Workforce and deploy a new AI worker or configure an existing Model Worker.
2. Under worker settings, enable Smart Pricing.
3. Configure your pricing parameters:
   • Minimum margin — Set a floor margin percentage that the AI will never go below (e.g., 30%)
   • Price ceiling — Set a maximum price to prevent outlier recommendations
   • Competitive positioning — Choose your strategy: match competitors, undercut by a percentage, or position as premium
   • Update frequency — How often the AI re-evaluates pricing (daily, weekly, or on-demand)
4. Select which products or collections to include in smart pricing analysis.

Reviewing Recommendations

When the AI generates pricing recommendations, they appear in Analytics > Pricing:

Each recommendation shows:

• Current price vs. recommended price
• Projected impact — Estimated change in revenue and units sold
• Confidence score — How certain the AI is in the recommendation (based on data quality and volume)
• Reasoning — A brief explanation: “Competitor X reduced price by 15%”, “Demand for this category increased 20% this month”, “Current price is 25% above market average”

You can accept recommendations individually, in bulk, or set auto-apply rules for high-confidence suggestions.

Pricing Strategies

Smart Pricing supports multiple strategies that you can assign per product or collection:

Competitive match — Keep your prices within a target range of competitor averages. Best for commoditized products where price is the primary differentiator.

Margin optimization — Maximize profit margin while maintaining a target conversion rate. Best for unique or branded products with less direct competition.

Volume pricing — Optimize for units sold rather than margin per unit. Best for clearing inventory or building market share.

Dynamic pricing — Adjust prices based on real-time demand signals, inventory levels, and time of day. Best for high-traffic stores with fast-moving inventory.

Cost and Usage

Each pricing analysis costs 1,000 micro-units ($0.01) per product. If you run daily analysis on a 500-product catalog, that’s approximately $5 per day or $150 per month.

Smart Pricing is available on all paid plans. Free tier users can run manual analysis on up to 10 products per month.