The association was formed primarily to help the association members to coordinate and liaison with the Corporation for all negotiations, terms, deals, issues and concerns etc. as a collective member. Primarily it deals in the following services:

• Platform and Service Provider for Car Rental Franchise owners.
• Managing different programs for Franchisees throughout the locations.

The association also helps the members in various different programs such as LDW insurance, XM Radio, Counter Insurance Products, Fleet procurement etc. It serves as one stop service to all its members.

• Build a system to reconcile the composites received by the ABG to licensees and generate the exceptions.
• Overcome the manual challenges by automating the complete arithmetic as well as operational workflow to manage the data as well as amount discrepancies.
• Automate the complete F68 billing process.
• Automate and quickly manage the To and Fro payments with ACH integration.

We built a complete end to end product with fully functional automated process for reconciliation of the composite as well as F68 invoice generation between the parties. The following are the solution highlights:

• High degree of functional / product roadmap ownership.
• Product Development.
• Scalable design with latest technology.
• Integration with data feeds from Corporate.
• Easier data analyses, computation, invoice generation.
• Intuitive UI for applications.
• Delivered Multiple Modules in 4 months.
• Admin Portal, Licensee Portal.
• Bi-Weekly Development Updates.
• Maintenance and support.
• Complete responsibility including.
• Infrastructure decisions, hosting and engagement with other vendors.
• Production support: L2, L3.

A leading travel booking operator including corporate travel management and automation of wholesale distribution of complex international airfares having various e-commerce platforms to manage hotel/tour packages as well as flight bookings through GDS and other OTA affiliates.

• Build a scraper engine to parse the data from initially two web sources which will essentially include the various hotel rates for specific city.
• While capturing the rates; build the dynamic algorithm to capture the dynamic bifurcation of rates with respect to the room types. Further, build the dynamic metadata model to drive the comparison between the rates of various web sources vs hotels.

We built a complete end to end solution with automated rate engine to cater and parse dynamic data from various web sources and compare the results between them using unified masters. The following are the solution highlights:

• Highly Configurable: Metadata driven for supporting new websites for scrapping and data extraction; scrapping schedule configured.
• Highly Scalable: Uses event driven model leveraging micro services to run concurrent executions for data query, extract and curation functions.
• Cost Efficient: Uses container based execution for cost optimization which gives ability to ramp up/down the infra based on volume and concurrent throughput required.
• Performance: 3 different data storages aligned to optimize the IO for the function being executed - Blob, Key value and Structured; Cache used for reading metadata at run-time.
• Traceability: Extracted data can be traced back to the html pages that were queried.
• Automation: Query profiles analyzed and mapped into meta data repo by sampling the target web pages.
• Flexible Scheduler: Scheduling tool manages the scrapping schedule for each website and can be changed as per business needs.
• Resiliency to Website Navigation & HTML Changes at Run-Time: The approach will be able to manage the specific event-based changes within the html based on search results set.
• Minimal Coding Required for Each Website via Hooks: The web hook will be configurable to handle the class changes within the html so it can be handled via property of that module.