Rate Shopping in the Age of AI: Smarter Pricing Strategies

The way of booking through various online portals has changed drastically in recent times. Travelers get ample options to search for the perfect place to book hotels, flights, or rental cars through OTAs (online travel agents). The artificial intelligence-driven rate shoppingstrategy in the competitive business world enables businesses to compare the competitors’ prices and optimize their offerings accordingly.

What is rate shopping?

Rate shopping is the strategy of comparing competitors’ fare prices across different channels. The business organization uses the rate shopping comparison tools to make an effective strategy. With the rising inflation rates globally, travelers become more price sensitive and try to find out the best possible options by searching the various OTA platforms.

Why artificial intelligence-powered rate shopping?

Rate shopping is an integral part of revenue management and helps in making dynamic pricing strategies. The manual rate shopping tools suffer from major drawbacks and make the system inefficient. There are some limitations of manual rate shopping tools that prevail in the present business environment that every business organization needs to change to stay ahead of the competition.

● Faster decision-making

Existing rate shopping tools involve analyzing competitors’ rates by manually checking prices across multiple platforms. It is an inefficient approach and a slow process because it requires human intervention and provides inaccurate results. It leads to missing lucrative opportunities of earning revenue, but artificial intelligence enables faster rate comparison of competitors and provides detailed insights.

● Real-time data insight

Artificial intelligence-driven rate shopping tools apply the data analytics tool and compare the prices across various platforms. It gives the real-time data for making informed decisions compared to the manual rate shopping software tools.

● Updated data-driven strategy

The tariff rates used to be changed most frequently by the competitors. So, staying updated with the new pricing policy is crucial for competing within the same industry. Any decision-making based on old data may result in ineffective strategy formulation and affect the revenue.

● Discrepancy in the rate parity of OTA

The artificial intelligence-driven tools detect the price discrepancy between different OTA portals of a particular business on a real-time basis and give updates instantly that enable a business to prevent revenue loss. It makes businesses aware of any unauthorized discounting or deals on the websites and helps to take immediate action.

● Automated dynamic pricing policy

The data analytics features of artificial intelligence software give the competitor insight and generate instant alerts on any necessary changes the business needs to adopt for establishing a dynamic strategy. It provides comprehensive market coverage across various platforms on a real-time basis.

Artificial intelligence-enabled rate shopping tools are on trend for maximizing profit and building trust among customers. RateGain

provides a unified platform to establish rate parity and achieve long-term success, experience revenue growth, and build strong customer relationships. The growing cost inflation and supply chain volatility have changed consumer spending drastically, and traditional rate shopping tools are now becoming obsolete. Implement the automated dynamic system within the business and obtain efficiency in the ever-changing business environment.