Pricing AI | List Price Optimizer
SKU-level, AI-driven pricing
Rapidly optimize list prices for your business, using AI to ensure your prices are kept competitive.
List prices are highly complex to maintain
Multiple tools and highly manual per product price adjustments and analysis means pricing teams spend days of effort for small list price adjustments. With Pricing AI, you can maximize margins with list price recommendations at SKU-level, taking into account complex demand versus price relationships and forecasted business KPI impact.
Increase your list price change frequency
Pricing teams may not adjust list prices for months. Markets change frequently, cost prices fluctuate regularly and product demand may fluctuate throughout the year. You need a lightweight tool to continually provide competitive list prices on a frequent basis to avoid continued over or under discounting from lists.
Remove the admin and focus on business impact
Pricing AI’s List Price Optimizer uses AI to rapidly and continually optimize your list prices in one single location. View business level KPIs on projected list price change business impact, and dig into your highest value products using AI to understand future demand based on your new prices.
Quick and strategic pricing suggestions, at scale
Speed up the pricing and sales process, increase conversion rates and maximize profit margins with our automated list pricing process.
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Increase win rates with perfect pricing
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Maximize revenue and profit margins
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Reduce excessive discounting
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Reduce manual decision making and save time
See Pricing AI's List Price Optimizer in action
List Price Optimizer enables your pricing teams to optimize list price change process. Take a quick look at our list pricing software in action here.
Under the hood
Pricing AI’s List Price Optimizer is built on Peak’s platform. It uses SKU-level demand forecasting, and price elasticity models to calculate demand and optimal price suggestions, to give you optimised list prices that maximize revenue.
- Combine data
- Add intelligence
- Make decisions
Ingest, transform and organize large volumes of data from across your company
- Transaction data
- Product data
- Pricing data
Apply SKU-level demand forecasting and pricing elasticity models to your data.
Our fallback price explorer method means that if a product can’t be optimized — for example, if there is limited product data — then a percentage-based price can be provided, driven by the product’s pricing history.
The List Price Optimizer lets you add guardrails that factor in:
- Customer profiles
- Territory factors
- Margin
- Sales targets
View SKU-level list price recommendations and take action.
- Accept or overwrite list price recommendations
- View demand forecasts for individual products
- Understand and sense check the recommendations
- View expected impact at both a granular SKU level and overall business KPI level
Success stories
