beSharp & Motiqa: Faster, Effective Maintenance with Generative AI

The Need

Today, more and more companies worldwide rely on smart advertising installations and systems to distribute their content and it essential to maximize service uptime.

Motiqa and beSharp partnered to develop a Generative AI-powered solution that helps the service team resolve reported issues by leveraging the vast amount of information in the service documentation. This solution makes it superfast to identify the root cause of reported issues, minimizes service downtime, and accelerates restoration times.

The Challenge

• Unclear error codes and types required long troubleshooting sessions, making finding the right information in the documentation difficult.
• The technical documentation is vast, with no standard structure. Only available in English or Italian.
• Long onboarding time was required for new operators to be ready to work, as they needed to familiarize themselves with different totem models and their technical specifications.

The Solution

beSharp developed a Generative AI model for Motiqa that is queryable in natural language and capable of instantly providing operators with possible causes and resolution procedures for reported issues.

A resilient and scalable infrastructure, combined with a vector database and categorized data, ensures output speed, accuracy, and reliability.

The SaaS-based solution enables all company professionals to access relevant information according to their roles and needs through an intuitive interface. This improves intervention efficiency and enhances data control, traceability, and governance.

Additionally, operators can upload new documentation files with a simple drag-and-drop. This makes it easy to continuously expand and update the system’s knowledge base, making device maintenance faster and more efficient.

Generative AI also enables real-time translation, allowing documentation to be accessed in the same language as the user’s query, ensuring an efficient multilingual service.

The Benefits

Intervention and issue resolution times have been drastically reduced, leading to a significant improvement in operational efficiency:

• Time-to-Market reduced by 50%.
• Faster and more accurate service management.
• Improved intervention management worldwide.
• 70% reduction in information retrieval time and 50% faster resolution of technical issues.
• Device downtime decreased thanks to quicker and more precise interventions.
• Centralized, digitized, and easily accessible technical know-how.
• 60% reduction in onboarding costs for new operators; technicians can easily access necessary information without complex training, as the software provides immediate and complete answers.
• Acquisition of AI and Generative AI expertise applicable to various other contexts for continuous improvement.