Overview
Streamlining Maintenance Operations within Smart Environments.
Motiqa, part of the Voilàp Group, is a company specialized in developing innovative software solutions.
In particular, it focuses on designing advanced algorithms for the collection and analysis of large volumes of data, aimed at creating intelligent ecosystems such as Smart Cities, Smart Buildings, and Industry 4.0.
Today, more and more companies around the world are using smart advertising installations and systems to distribute content, making it essential to maximize service uptime.
Motiqa and beSharp partnered to create a solution based on a Generative AI model that helps the Service team promptly identify the nature of a reported issue and facilitate its resolution by drawing from the vast amount of information contained in the support documentation.
The goal is to reduce service downtime and speed up recovery.
The Challenge
Accelerating Service Restoration to Minimize service unavailability.
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Unclear error codes and types required long troubleshooting sessions and made it difficult to retrieve the right information from the documentation.
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Technical documentation was vast, fragmented, and often inconsistent in format and structure, available only in Italian or English.
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Long onboarding times for new operators due to the need to become familiar with various kiosk models and their technical specifications.
The Solution
Leveraging GenAI for Instant Root Cause Analysis and Resolution Procedures.
beSharp developed a Generative AI model for Motiqa that can be queried in natural, multilingual language. The model indexes and searches the entire technical documentation to instantly provide operators with potential causes and resolution procedures for reported issues.
Infrastructure resilience and scalability, combined with a vector database containing indexed and categorized data, ensure speed, accuracy, and reliability of the outputs.
The solution, deployed in SaaS mode, allows all company departments to access relevant information tailored to specific roles and needs through a simple and intuitive interface. In addition to improving intervention efficiency, this enhances control, traceability, and data governance.
Moreover, operators can upload new documentation files via drag and drop to continuously expand and update the system’s knowledge base, making device maintenance faster and more efficient.
Thanks to Generative AI, the system enables real-time translation from the language of the documentation to the language used in the prompt, ensuring efficient multilingual service.
