Intelis uses AI-driven dynamic pricing to optimise e-commerce product prices in real-time, maximising margins and competitiveness based on market demand, competition, and inventory levels.
Description
Intelis is an AI-powered dynamic pricing platform designed specifically for e-commerce retailers to automate price optimisation. The tool analyses real-time data—including competitor pricing, demand fluctuations, inventory turnover, and market trends—to adjust product prices dynamically, ensuring optimal profitability and competitiveness.
Using machine learning algorithms, Intelis processes billions of data points daily to recommend pricing strategies that balance sales volume and margin goals. Key features include competitor price tracking, margin protection rules, seasonality adjustments, and AI-generated pricing scenarios. For businesses, this eliminates manual repricing tasks while responding instantly to market shifts (e.g., competitor discounts or stock shortages).
The platform integrates with major e-commerce platforms and marketplaces (Shopify, Amazon, eBay), applying custom rules to avoid race-to-the-bottom pricing. Real-time dashboards visualise pricing performance and ROI impact, while predictive analytics forecast optimal price points for new products.
For e-commerce, Intelis prevents revenue leakage during peak seasons, clears slow-moving stock intelligently, and defends brand value through rule-based pricing guardrails. Its AI learns from historical performance to refine strategies continuously, making it ideal for brands with large catalogues or those competing in volatile markets.
KEY FEATURES:
Real-Time Competitor Tracking: Monitors rival prices across channels to maintain competitive positioning.
Margin Optimisation AI: Balances profit targets and sales volume through dynamic adjustments.
Demand-Based Pricing: Adjusts prices during peak/off-peak periods to maximise revenue.
Inventory-Driven Rules: Automatically discounts overstocked items to free up capital.
Price Scenario Simulations: Predicts outcomes of pricing strategies before implementation.
Channel-Specific Rules: Customises pricing per marketplace (e.g., Amazon vs. Shopify).
Competitor Reaction Analysis: Anticipates rival responses to your pricing changes.
Brand Value Protection: Enforces minimum/maximum prices to maintain premium positioning.
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