EndorsedendorsedCompleted

Generative AI Development for LED Display Provider

Services Covered:

AI and Machine Learning
Project hero — replace with case study imagery
Industry
Industry

Engineering & Manufacturing

Duration
Duration

4 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 March 2025

Team Size
Team Size

1-5 Employees

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

Next LED

mapWichita, United States of America

Project Summary

INEXTURE Solutions Limited developed generative AI solutions for an LED display provider, building custom tools to analyze customer engagement and automate content management. The team used OpenAI, a vector database, AWS, and TensorFlow, and provided training and post-deployment support. Their work reduced manual effort by 40% and improved scheduling and reporting accuracy while maintaining organized project management via GitHub and Jira.

Key Challenges

  • Need to explore generative AI to streamline operations and analyze customer engagement.
  • Requirement to manage and automate content for LED displays.
  • Goals to save time and cost while improving process efficiency without compromising quality.

Project Deliverables

  • Custom generative AI tools
  • AI model implementation and integration
  • Training for the client's team
  • Post-deployment support

Project Solution

INEXTURE handled planning, strategy, and full implementation of generative AI solutions. They built custom tools from scratch to generate insights from customer data and automate repetitive tasks, using OpenAI, a vector database, AWS, and TensorFlow. The vendor trained the client's team for daily use and provided post-deployment support, and managed the project via GitHub and Jira.

Project Outcome

  • 40% reduction in manual work and improved operational efficiency.
  • Content scheduling time reduced from hours to minutes.
  • More accurate and actionable customer data reports.

Platforms

  • CloudCloud

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • TensorFlowTensorFlow

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 reduced manual work by 40% and improved efficiency. The team adhered to schedules, provided regular updates, managed the project using GitHub and Jira, and communicated via Google Meet and emails. Their ability to simplify complex AI concepts impressed the client.

Brett Wright

VP

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

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