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Wholesale Flights, an American air tickets booking agency (Wholesale-flights.com and BusinessClassGuru.com platforms), increased its sales by 17% after the introduction of WaveAccess’ machine learning module. Its algorithms use the incoming data to predict the chance of a lead conversion and its marginality. This solution by WaveAccess can be applied to any business that uses telephone sales.

American business- and first-class air tickets booker Wholesale Flights (Wholesale-flights.com and BusinessClassGuru.com) aimed to increase sales by 6% without staffing up, as was defined by the company’s development strategy. As a means to achieve the goal, the company wanted to streamline the workflow for 30+ high-salaried agents. WaveAccess, an IT company, offered a comprehensive solution: to implement a CRM system that tracks the customer journey, a call tracking software, and a clients ranking system to increase conversion.

In the visual training session scheduled for November 14 2019, WaveAccess experts will:

Examples of using the chosen solutions

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1. The first solution tested for our challenge was Visual Studio Coded UI. Pros:
   • reveal the added value of prototyping;
   • show how building a prototype can provide a greater understanding of your product;
   • guide you through the whole cycle of getting a working model built with Figma – a credible UI design tool that provides a collaborative workflow.
2. Show how building a prototype can provide a greater understanding of your product;
   • reveal the added value of prototyping;
   • guide you through the whole cycle of getting a working model built with Figma – a credible UI design tool that provides a collaborative workflow.

Show how building a prototype can provide a greater understanding of your product guide you through the whole cycle of getting a working model built with Figma – a credible UI design tool that provides a collaborative workflow.

Examples of using the chosen solutions

Machine learning algorithms were used to develop the analytics platform for lead ranking. Client queries from sites are put in a queue, get analyzed by the algorithm to predict the chance of conversion, and then sorted by the conversion chance. As a result, the queries that are more likely to convert into actual sales are put on top of the queue: these clients are expected to pick up the phone and accept the offer.

Photo description like "Our challenge was to set up a pilot solution for automated testing, the final goal being to automate testing of a complete"

The prediction is based on a comprehensive data set: the client’s email, IP address, geotag, their journey at the site, traffic source, query contents (chosen destination, dates and time) etc. This data also helps to make the phone communication more effective, allowing agents to adapt their script to the client’s profile and behavior.

The highest-margin queries are redirected to the most skilled sales managers. The salespersons’ efficiency is also rated by a number of metrics. The system tracks how quickly the query was handled, how successful the negotiation was, and other quality parameters.

The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

Of course, manual testing is still an essential part of the development job. But with a large-scale project of tens of thousands LOCs, where feature release takes several weeks or more, test automation is crucial. To figure out whether it is possible and efficient to automate all testing jobs, our team uses the Do Pilot approach, which means automating a small scope of work using a given framework.

Tomas Good

Head of Company

The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

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The solution implemented by WaveAccess has helped Wholesale Flights in reducing the queue time for advantageous leads thrice and increasing sales by 17% in just 6 months, which exceeded the company’s expectations almost three times. The staff’s time is now saved significantly: instead of handling low quality leads, they spend time doing gainful work.

Examples of using the chosen solutions

“The integrated system is instrumental for optimizing the communication with potential clients by ranking their queries in the queue. As opposed to previous minimal-data query estimation, now the system analyzes a wider set of metrics and ranks the queries more effectively. A similar machine learning based module can be developed and introduced for any company with a call center”, says Alexander Azarov, Senior VP of Engineering at WaveAccess.

General table