Dynamic Pricing Rules
Smart, automated strategies tailored to your pricing needs
Access 20+ built-in and customizable rules designed to handle virtually any pricing scenario
Your advantage
Execute your best pricing logic on the fly with dynamic pricing rules
Save time and utilize the pricing rules that match your business logic and perform re-pricing actions
without the need for an IT team
Demand-Based Pricing Rules
AI-Driven Rules to maximize revenue and adapt instantly to market demand
- Sales velocity and conversion rate
- Page views and traffic surges
- Search volume trends
- Seasonal and event-driven demand changes
AI-Driven Inventory Pricing Rules
Automate intelligent price adjustments to clear excess stock, protect margins, and sell smarter every day.
- Define your inventory conditions
- Set your pricing actions
- Schedule and activate rules
- Stay in control with built-in guardrails
Competition Pricing Rules
Stay competitive while protecting your margins.
- Identify key competitor signals
- Set smart rules and guardrails
- Automate and continuously optimize
Conversion Rate Pricing Rules
AI-powered rules to improve conversion and protect margin by reacting to:
- Conversion trends over time
- Traffic and product visibility
- High traffic, low conversion products
- Strong performers with margin upside
- Post-price-change performance
Custom Pricing Rules
AI-Powered Rules Tailored to Your Unique Pricing Strategy
Custom rules can incorporate:
- Sales velocity and inventory age
- Conversion rate and traffic patterns
- Competitor pricing signals
- Cost, margin, and brand constraints
- Seasonal timing or promotional logic
Control the buying behavior of users via dynamic pricing rules
Understanding a product’s elasticity is crucial for the success of any enterprise.
A company can then proceed to fix the prices of its manufactured products and increase its profits.
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FAQ: Pricing Module for Dynamic Pricing Rules
The Dynamic Rules module is a rule-based automation engine designed to optimize product pricing in real-time. It replaces manual pricing efforts by using definable variables and Key Performance Indicators (KPIs) to make instantaneous, logic-driven price adjustments.
Rules can be triggered by a wide range of data points. Key variables include Inventory Levels (stock availability), Engagement Metrics (page visits and traffic), Competitor Data (landscape changes), and Performance Metrics (product sell-through rates).
Yes. The platform includes several "out-of-the-box" standard rule types, including:
- Cross-Country/Currency: For international sales currency conversion.
- Markdown Strategy: For clearance or end-of-life items.
- Return Product Pricing: Rules for open-box inventory.
- Shipping Rules: Adjustments based on fulfillment costs.
You can use Segmentation Tags within the Rule Editor. "Inclusion Tags" define the scope of the policy (e.g., specific categories), while "Exclusion Tags" allow you to create exceptions to the rule to handle nuanced scenarios without creating entirely separate rules.
Using the Cross-Country rule, the system automatically converts currency for international sales. It can also apply percentage adjustments based on the specific economic value of the target region.
Yes. The Policy Editor includes Rounding Rules. After the system calculates the price based on your logic, it applies your formatting preference, such as "Round down to the nearest .99."
Subset rules are conditionals that must be met for a specific pricing action to trigger. For example, you can set a rule that says, "Only apply this price increase if the current profit margin is negative."
Yes. The system includes Margin Guards, which allow you to establish hard "floors" and "ceilings" for price adjustments. This ensures that the automation never sets a price outside of your approved range, regardless of the calculation result.
Yes. While the system is designed for end-to-end automation, Manual Levers are available to allow users to make ad-hoc adjustments when needed.
The frequency is customizable based on your business strategy. You can define specific Frequency Settings to determine how often the system scrapes data and recalculates prices, ranging from hourly to monthly.
The Calculations Dashboard serves as the central hub for review. It provides visibility into metrics such as Profitability (identifying negative profit items), Price History (comparing Old vs. New prices), Competitive Analysis, and cost-to-price Differentiation.
We recommend a consultative, phased approach. It is best to test new policies on a limited product subset first to validate the results and ensure they meet your goals before expanding the automation to your full product catalog.