“If you like a system that can give you better control, better opportunities, and management of tasks, Appenate is the solution for you.”
– Guillermo Lujan (CEO of Grupo Mathasa)
“If you like a system that can give you better control, better opportunities, and management of tasks, Appenate is the solution for you.”
– Guillermo Lujan (CEO of Grupo Mathasa)
Case study: Grupo Mathasa
Construction retail chain eliminates manual data entry and external workarounds by digitalizing store audits and quality control processes across 19 locations.
Case study: Grupo Mathasa
Construction retail chain eliminates manual data entry and external workarounds by digitalizing store audits and quality control processes across 19 locations.
Business Goal
Replace outdated platform for store audits and quality control with a customizable solution that eliminates manual processes and enables real-time oversight across 19 Northern Mexico locations.
Obstacles
Their legacy system had limited customization options and required painstakingly slow manual data entry, as well as the use of external spreadsheets and workarounds, which prevented real-time oversight and efficient quality control.
Outcomes
Mathasa utilized Appenate to speed up audit processes, enhance data accuracy, and improve IT control over customization, all while seamlessly integrating with Power BI for instant access to field data.
Their Challenge
Grupo Mathasa, a supplier of construction finishing materials serving homeowners, contractors, and businesses across 19 locations in Northern Mexico, struggled with inefficient quality control operations that hindered its growth.
Their outdated quality control system created cascading problems:
- Manual data entry for all store audits and inspections
- External spreadsheets and workarounds slowing processes
- Limited customization restricting operational efficiency
- No real-time oversight capabilities for management
- Dependence on external developers for system modifications
- Slow, paper-based store inspection processes
The CEO recognized the need for transformation: “We needed something better — more flexible and efficient,” says Guillermo Lujan. Without a modern, customizable solution, Mathasa was unable to achieve the operational control necessary for continued growth.
The Appenate Solution
Using Appenate, they created a fully customizable digital platform that put control back in their IT team’s hands while eliminating manual workarounds.
The solution delivered immediate improvements:
- Full customization capabilities managed internally by the IT team
- Automated store audits eliminating manual data entry
- Real-time oversight through Power BI integration
- Spanish-language customer support for seamless onboarding
- Mobile-first design for field operations
“Our IT team loves it. They can customize forms, automate tasks, and continuously improve workflows — things we couldn’t do before,” said Guillermo. The smooth onboarding process included chat support in Spanish, which was “a huge plus” for the team.
From rigid legacy systems to fully customizable digital operations, Grupo Mathasa’s transformation demonstrates how the right platform can eliminate operational bottlenecks while empowering internal teams to drive continuous improvement.
Switching platforms is never a small decision. But for Grupo Mathasa, the results made it pretty clear they’d made the right call.
Faster audit process
Teams now complete store inspections digitally instead of using paper and spreadsheets, eliminating time-consuming manual data entry and external workarounds.
Reliable data collection
Automated workflows reduce manual workarounds, making processes more reliable and ensuring consistent data quality across all 19 locations.
Faster decision making
The tech team now owns the customization process, so they can improve their forms and workflows without relying on external developers for modifications.
Enhanced usability & adoption
Appenate’s intuitive design made training quick and easy, with seamless integration to Power BI giving managers instant access to field data for real-time decision making.