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AX ConsultingCasesResponding to Lowest-Price Competition with Dynamic Price Management
Revenue Growth

Responding to Lowest-Price Competition with Dynamic Price Management

Real-time price adjustment with ontology-based judgment

A case where AI adjusted prices in real-time during open market/price comparison site lowest price competition.

The Problem

In open markets or price comparison sites, the lowest price for identical products is shown first. But being just slightly below 2nd place already ranks 1st; there is no need to sell far cheaper. Such optimization is impossible manually.

  • Excessive price cuts in open market/price comparison site lowest price exposure competition
  • Missing price adjustment timing causing margin loss
  • Unable to sense competitor prices in real-time
  • Complex overlapping logic for price/discount/card discounts

AI Solution

Ontology is a database of relationships and logic for prices, discounts, card discounts, etc. AI follows this logic to automatically make complex judgments like 'Does a specific card discount apply overlapping?'

  • Real-time competitor price tracking
  • Ontology-based price logic (price/discount/card discount overlap judgment)
  • Auto price adjustment: Avoid lowest price or enter competition strategy
  • Maximize revenue/margin through P×Q optimization

Tech Stack

  • Ontology
  • Real-time Price Sensing
  • Auto Price Adjustment API

Lessons Learned

  1. 1Revenue/margin increase has the biggest business impact
  2. 2Ontology structures complex business logic for AI understanding
  3. 3Real-time sensing + auto-adjustment is key (impossible manually)

Related Cases

  • Product Quality Improvement through Multi-Channel Review Analysis
  • Global Price Research Automation
  • Marketing Campaign Automation
See all

Want to apply this kind of automation to your own work?

Contact our AX consulting team for a customized solution.

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