Static pricing strategies are a relic of the past. In today’s fast-moving market, failing to adapt your prices to real-time demand, competitor actions, and inventory levels means you are either losing sales or leaving significant revenue on the table.
The Softeem Solution
Our AI-Powered Dynamic Pricing engine is a powerful AI solution that continuously analyzes market signals to recommend and implement the optimal price for every product in your catalog. By reacting intelligently to changes in demand and competitor pricing, our engine helps you maximize revenue and profit margins without manual intervention.
Key Features
- Competitor Price Monitoring: Automatically track competitor pricing across the web to ensure you’re always positioned effectively.
- Demand Forecasting: Our AI models predict changes in customer demand based on seasonality, trends, and external factors.
- Inventory-Aware Logic: The engine can automatically adjust prices to clear out aging stock or capitalize on low-inventory, high-demand items.
- Rule-Based Controls: Set custom rules and constraints (e.g., maintaining MAP pricing) to ensure the AI’s decisions always align with your business strategy.
How It Works
1. Data & Strategy Workshop
We begin by integrating with your sales and inventory data sources and conducting a workshop to define your pricing strategy, goals, and constraints (e.g., margin targets, MAP policies).
2. Market Simulation
Our team builds a 'digital twin' of your market to safely train the AI pricing models, simulating the impact of price changes on demand and revenue.
3. Phased Rollout & Monitoring
We launch the engine on a small subset of your products, closely monitoring its performance and impact. We can configure it for recommendations-only or fully automated adjustments.
4. Performance Reporting
You receive regular reports detailing the revenue lift, margin improvement, and other key metrics generated by the dynamic pricing engine.
At a Glance
Pain Points Addressed
- Losing sales due to non-competitive pricing
- Leaving money on the table with a static pricing model
- Inability to react to competitor price changes
- Difficulty managing pricing for a large, complex catalog
