Competitive Pricing Discovery Using Microsoft Automate

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Problem

Travel booking alignment as per the latest trend requires understanding of pricing trends. It’s a huge manual effort of keeping the data analyst and review pricing from all the travel booking service providers. The output of this manual process is to keep our customer’s pricing current and competitive. The problem is the pricing discovery delays due to manual process especially in peak seasons that may lead to revenue losses.

Challenges

It is a tedious process, a lot of time is consumed in carrying out the tasks.
Scope of error due to manual work, which in turn makes the data unreliable.
A consolidated data/information centre was lacking.
A streamlined analysis of the downloaded data wasn’t taking place and not current.

The manual information download from multiple sources is tedious and challenging. The compilation and analysis of the downloaded data furthers the difficulty.

Featured services

Automated Application Process

Ensures higher productivity and efficiency with a significant reduction in spent time.

Data Integration and Consolidation

The process of consolidation which earlier used to take a weeks’ time can now be executed within hours.

Consolidated Reporting

Significant improvement in workforce productivity and business performance on account of automation of data consolidation and analytics.

Improved performance

Significant improvement in workforce productivity and business performance on account of automation of data consolidation and analytics.

Solution

Kanerika automated leading travel booking customer’s complete pricing discovery process from various sources almost in near realtime using Microsoft Power Automate helping Microsoft Power BI/Data team to define the their respective product pricing competitive almost realtime saving delays and revenue losses.

Approach:

MS Power automate BOT navigates to the pre-registered websites, navigate all booking criteria and flows.
The bot iterates and captures the pricing information, downloads it and enters the information in the pricing discovery database.
Similar process is repeated across various all websites.
Data Analysis process is then automatically kicked by the BOT and produces the optimized booking prices for every supported options and published on website.

Results

Saved a lot of time and reduced the rate of error multifold.
Ensure completeness, no registered target is missed.
With the data stored in the new database, price trending analysis was enabled.
Improves accuracy of the entire process.
Eliminates manual delays and errors to carry out the entire process.
Improves the revenue by staying current and competitive.

Why Kanerika?

Kanerika is a niche consulting firm building efficient enterprises with deployment of automated, integrated and analytics solutions. Kanerika enables efficient enterprises through its unique digital consulting frameworks and AIOps enabled compostable solution architecture. We partner with some of the top vendors to solve some of the critical data and process related challenges. We help some of the top brands across the globe in increasing their speed to respond in evolving market conditions, reducing their cost of operations, empowering them with the right tools and insights for effective decision making.