Case Studies > Auteco Mobility's Transformation through Google Cloud's IoT Solutions

Auteco Mobility's Transformation through Google Cloud's IoT Solutions

Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Analytics & Modeling - Predictive Analytics
Applicable Industries
  • Automotive
  • Transportation
Applicable Functions
  • Logistics & Transportation
  • Product Research & Development
Use Cases
  • Autonomous Transport Systems
  • Transportation Simulation
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
About The Customer

Auteco Mobility is Colombia’s leading sustainable-mobility company, known for its high rate of innovation and comprehensive portfolio. Founded in 2019 as a spin-off of Autotécnica Colombiana, the company offers innovative, tech-savvy, sustainable-mobility solutions that fulfill the transportation, recreation, and work needs of Colombians. With over 80 years in the business, Auteco directly employs over 1,300 people at its plant, its spare parts and accessories distribution center, and its administrative offices throughout Colombia. Besides manufacturing and assembling vehicles, the company also strives to keep track of its users' experience, making digital tools essential in achieving that goal.

The Challenge

Auteco Mobility, a leading sustainable-mobility company in Colombia, was facing challenges in optimizing data usage to improve decision-making and spend its time more strategically on portfolio, analytical, and operational processes. The company was struggling with scattered databases, which often took weeks to retrieve data from. This was a significant hindrance to the company's ability to make timely and informed decisions. Additionally, the company was also facing difficulties in tracking its users' experiences, which was crucial for improving its services and products. The company needed a solution that could streamline its data analytics processes, improve user experience tracking, and automate its processes.

The Solution

Auteco Mobility turned to Google Cloud in 2020 to implement business data analytics capabilities and advanced systems for end customers. Google Cloud's solutions were integrated into a hybrid environment with another provider for ERP and email services. This integration provided an efficient way to innovate and proved crucial for process automation and streamlining. The company adopted Big Data and artificial intelligence technologies, which improved its data analytics and led to better business decisions. Auteco Mobility implemented Google Cloud’s solutions focused on BigQuery, BigTable, and Cloud Run to support efforts to develop technology systems inside the company. The company created two business-critical systems, Trakku, an IoT system to help users connect with their vehicles intelligently, and Lucía, a centralized analytics system integrating data from several administrative and business sources to build predictive models and run statistical analyses of the company’s operations.

Operational Impact
  • The implementation of Google Cloud's solutions has transformed Auteco Mobility's operations. The company has been able to democratize data across all business units, automate processes to optimize resources, and implement high-performance tech architectures for end users. This has resulted in a data-and certainty-based culture available to the entire organization. The ability to process large data volumes and use data for decision-making has resulted in more efficient portfolio and market-analytics processes, and freed people to spend their time more strategically and productively. Google Cloud's ease of use, integrated security, and pay-as-you-go system helped the company develop a cost-effective, quick, and ready-to-use infrastructure as a foundation to power the company's digital transformation and future expansion.

Quantitative Benefit
  • IoT architecture that is 90% cheaper than a traditional service

  • Data analytics processes shortened from hours to under 10 seconds

  • Servicing 80,000 users per node at the same time

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