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Cross‑Platform Mobile App with AI Integration for Electronics Manufacturer

Services Covered:

AI and Machine Learning • Mobile Application Development • UI/UX Design
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Industry
Industry

Engineering & Manufacturing

Duration
Duration

4 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 February 2025

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
87/100
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

Servatron

mapSpokane Valley, United States of America

Project Summary

INEXTURE Solutions Limited developed and designed a cross-platform mobile app for an electronics manufacturing company, providing end-to-end mobile app planning, wireframing, development, testing, and deployment. The team also provided AI consulting and integrated AI features using Python and TensorFlow to streamline internal workflows. The engagement improved internal efficiency, UI adoption, and turnaround time while the vendor remained available for ongoing support.

Key Challenges

  • Enhance mobile presence
  • Improve internal operational workflows using AI
  • Integrate AI to streamline parts of the electronic manufacturing process and improve end-client requests in real time

Project Deliverables

  • Mobile app for iOS and Android
  • AI integration using Python and TensorFlow
  • Wireframes and designs
  • Testing and deployment
  • Planning and project documentation

Project Solution

INEXTURE designed and built a cross-platform mobile application from scratch (planning, wireframing, development, testing, deployment) for iOS and Android using Flutter, and provided AI consulting and integration leveraging Python and TensorFlow. They implemented the AI model to automate internal workflows and collaborated with the client using Google Meet and Jira throughout the engagement.

Project Outcome

  • Internal efficiency gains: tasks that took hours were processed in minutes
  • UI adoption improved by around 40%
  • Turnaround time for client operations improved significantly

Platforms

  • MobileMobile

Tech Stack

  • PythonPython
  • TensorFlowTensorFlow
  • FlutterFlutter

Client Endorsement

Overall Review Rating

4.88star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“INEXTURE Solutions Limited delivered a high-quality product that improved the client's efficiency, turnaround time, and service delivery. The team was professional, transparent, and communicative. INEXTURE Solutions Limited's ability to offer innovative suggestions and solutions was commendable.”

Thorin Brown

VP

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

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