Cases

Selected Cases

Business Transformation program

Date  

October 2024


Client - Bil och Maskin Service AB

A vehicle reparation firm in Sweden.

Challenges

Our client was grappling with multiple challenges that significantly impacted the efficiency and productivity of their operations:

  • Internal Communication: The existing communication methods for staff were slow and inefficient, leading to delays and miscoordination within the team.

  • Customer Management: Processes for signing work orders and handling insurance repairs were ineffective, resulting in a cumbersome experience for both staff and customers.

  • Work Processes: Several inefficiencies existed in the service workflow, including unnecessary movements and time-consuming tasks that reduced overall productivity.

  • System Limitations: The client faced issues with their current systems, particularly with the time-consuming handling of warranties and fault code analysis. Additionally, their enterprise system lacked integration capabilities, making it difficult to streamline operations and measure the profitability of individual work orders due to inadequate visual and efficient follow-up tools.

  • Employee Engagement: There was a lack of proper documentation from mechanics and a need for continuous employee feedback to drive improvements, which affected the overall engagement and motivation of the staff.

Aivaro Contributions

  • Project Initiation and Needs Identification: Collaborated with the client to identify specific needs and challenges through analysis and employee surveys.

  • System Development and Implementation: Developed and implemented the "Call for Help" system and digital signing solutions for work orders and insurance repairs.

  • AI and Data Integration: Explored & Identified AI solutions for fault code analysis and visual reports for daily follow-up. With requirements analysis and establishment towards supplier of enterprise system for further development.

  • Support and Training: Provided continuous support and training to ensure smooth implementation and use of the new systems.

  • Workshop and presentation: Conducted meetings to discuss progress and adjust strategies based on employee feedback and business needs.

Solution

Through Aivaro's Business Transformation Program, we implemented a combination of direct IT solutions and long-term improvements:

  1. Direct Implemented IT Solutions:

    • Call for Help System: A system that allows staff to quickly indicate the need for help via an app, improving internal communication and reducing wait times.

    • Digital Customer Signing: Implementation of digital signing solutions with QR codes, allowing signing outside of working hours as well as digital forms available via the website.

  2. Long-Term Improvements:

    • Daily Follow-Up: Visual reports for daily follow-up of solutions per work, presented in easily understandable formats.

    • AI for Fault Code Analysis and Summaries: Use of AI as a tool to search for information on fault codes and automated summaries of work orders and completed jobs.

    • Employee Survey: Continued collection of ideas and suggestions from employees for continuous improvement and innovation within the business.

Results

  • Increased Efficiency: The implementation of "Call for Help" has improved internal communication and reduced wait times, leading to faster problem-solving and increased productivity.

  • Improved Customer Experience: Digital signing solutions have made the process smoother and more accessible for customers, resulting in higher customer satisfaction.

  • Engaged Employees: Involving the team in the transformation process has led to higher engagement and a better work environment.

Ongoing:

  • Data-Driven Insights: Daily visual reports provide better overview and enable faster and more informed decisions.

  • AI-Optimized Processes: The use of AI for fault code analysis and summaries has reduced troubleshooting time and streamlined the management of work orders and completed work.

Unified Data Reporting & Invoicing solution

Date  

September 2024


Client - Movebybike AB (publ)  

A logistics and operations company based in the Nordics

Challenge  

The company faced issues with fragmented data spread across multiple systems, which made it difficult to gain a unified view for pricing, costs, and performance. The data, derived from systems such as scheduling systems (planday), Transport management systems, and spreadsheets, was continuously updated but not integrated. The lack of a merged, comprehensive dataset hampered decision-making and created inefficiencies in invoicing, as data from various sources needed manual consolidation.

Solution

A data warehouse built on BigQuery was implemented, incorporating multiple data layers to serve both self-service analysis and operational reporting needs. A pipeline was created to extract, transform, and load data from all systems, ensuring daily updates. The system integrated directly with dashboards in both Looker Studio and Power BI, providing clear insights for reporting, decision-making, and invoicing.

Contributions  

In the role as Chief Technology Officer at Movebybike, Aivaro developed and implemented the data warehouse, connecting various data sources. Developed the ETL processes to ensure data quality and automated the workflows, significantly reducing manual data entry.

Results  

The solution enabled more accurate and comprehensive data analysis, supporting better decision-making and improving financial processes. By automating data consolidation, manual processes for data handling and invoicing were significantly reduced, resulting in higher operational efficiency.

AI-Driven Search Tool for Maintenance Manuals

Date April 2024

Client

A major manufacturing company in Gothenburg.

Challenge

The maintenance staff at the manufacturer faces the challenge of managing extensive and detailed documentation for hundreds of machines. The process of searching for and finding relevant information within these documents is time-consuming and impacts the efficiency of maintenance operations.

Solution

Development of a proof of concept for an AI-based search tool, tailored to the company's specific needs. This includes a customized AI model with a dedicated database, integrated directly into the tools used by the maintenance technicians.

Aivaro contributions

  • Initiated the project and identified specific needs in consultation with the maintenance manager.

  • Selected an appropriate AI model and developed the application in Python, with customizations based on client requirements.

  • Deployed the application on Microsoft Azure.

  • Conducted testing and adjustments to ensure the reliability of the AI model.

Results

The proof of concept proved to be successful, and the client is now considering large-scale implementation of the solution in the factory.