EndorsedendorsedCompleted

Low-code Cloud Middleware for RobosizeME Hotel RPA

Services Covered:

Application IntegrationAPI DevelopmentCloud Consulting and ServicesIT Consulting
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Industry
Industry

Automotive

Duration
Duration

2 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 April 2022

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
73/100
Good

Project Capability Score (PCS) estimates how capable Sciant is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

RobosizeME

mapOlomouc, Czech Republic

Project Summary

Sciant developed a cloud-based, low-code middleware infrastructure that integrated RobosizeME's RPA with Oracle Opera Cloud, Maestro PMS and MEWS. The work included custom REST connectors, published endpoints for the RPA orchestration, and monitoring that forwarded data to the client's Oracle Cloud database. The reusable middleware increased flexibility and enabled rapid deployment of customer solutions while Sciant followed strict timelines and regular agile ceremonies.

Key Challenges

  • Needed a cloud-based, low-code middleware to connect RPA orchestration with multiple PMS and client systems
  • Required processing of booking data, management of rates, deposits and settlements across various PMS systems
  • Needed extensibility for future functionality and error capture surfaced to an Oracle APEX support portal for further action

Project Deliverables

  • Middleware infrastructure
  • Integrations with Oracle Opera Cloud, Maestro PMS and MEWS
  • Published endpoints for RPA
  • Custom REST connectors for other PMS systems
  • Monitoring integration exporting data to Oracle Cloud database

Project Solution

Sciant developed a cloud-based, low-code middleware infrastructure and integrations with Oracle Opera Cloud, Maestro PMS and MEWS. They used the prebuilt Opera Hospitality adapter where applicable and built custom REST connectors for other PMS systems, published endpoints for the RPA orchestration to consume, and exported monitoring data from the Monitoring API to the RobosizeME Oracle Cloud database. The engagement included collaboration with Travel & Hospitality solution support to set up hotel PMS test environments.

Project Outcome

  • Reusable and extendable OIC low-code middleware enabled rapid adaptation and quicker deployments for customers
  • Project followed strict guidelines and timelines with regular standups, sprint planning, grooming and frequent demos enabling continuous feedback
  • Vendor combined strong Travel & Hospitality domain knowledge with technical engineering expertise

Platforms

  • CloudCloud
  • API/Integration PlatformAPI/Integration Platform

Tech Stack

  • OracleOracle
  • RESTful APIRESTful API

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The middleware infrastructure was highly flexible and allowed the company to adapt quickly to the needs of their customers, thanks to Sciant's work. Their workflow was good as they followed strict timelines. They led regular stand-ups and leveraged their strong knowledge of the client's industry.

Stephen Burke

Founder & CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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