EndorsedendorsedCompleted

AI Integration for Hospitality CRM Mobile App

Services Covered:

AI and Machine LearningMobile Application DevelopmentAPI DevelopmentApplication Integration
Project hero — replace with case study imagery
Industry
Industry

Business Consulting & Services

Duration
Duration

4 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 January 2025

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
85/100
Strong

Project Capability Score (PCS) estimates how capable Inexture Solutions 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

DayPoint Co.

mapLos Angeles, United States of America

Project Summary

INEXTURE Solutions Limited integrated generative AI into a hospitality CRM platform's mobile app, developing a model with Python and React.js and connecting it through APIs and backend support. The work enabled real-time personalization, recommendations, and predictive insights, improving guest experience and operational efficiency by roughly 40%. The vendor maintained consistent communication and met deadlines.

Key Challenges

  • Make mobile apps smarter and more valuable for hotel clients.
  • Enable dynamic guest interactions and better use of guest data.
  • Move beyond static features to real-time personalization and recommendations.

Project Deliverables

  • Generative AI model integrated into the mobile app
  • API integrations
  • Backend support and integration
  • Refinement and fine-tuning for hotel data

Project Solution

INEXTURE handled full integration of AI into the client's systems, developing and implementing a generative AI model that powers personalization and recommendations in the mobile app. The scope included AI model development, API integration, backend support, and refinement/fine-tuning with real hotel data. The team used Python, React.js, and OpenAI and provided documentation and regular check-ins.

Project Outcome

  • 40% increase in operational efficiency.
  • Automated recommendations, predictions, and generated responses within the mobile app.
  • Positive user feedback and improved guest experience.

Platforms

  • MobileMobile
  • WebWeb
  • API/Integration PlatformAPI/Integration Platform

Tech Stack

  • PythonPython
  • React.jsReact.js

Client Endorsement

Overall Review Rating

4.88star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

INEXTURE Solutions Limited's work enabled the client to automate recommendations, generate responses, and predict insights through their app, increasing operational efficiency by 40%. INEXTURE Solutions Limited excelled at project management, communicated consistently, and met all deadlines.

Matt Walker

Founder

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

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