Case Studies - SINTIA LAB

Our solutions

MANAGEMENT & IT CONSULTING - USE CASE

Need

The company faced significant inefficiencies in data management due to fragmented systems, including legacy CRM, ERP, and Lotus Domino, leading to difficulties in synchronizing data andmanaging customer information.

Solution

We performed a complete revamping of the data management system, implementing a cloud-based platform that centralized all company records. This solution leveraged microservices architectures, allowing easy integration of data from various systems, including legacy ones.

Results

30% reduction in errors and a significant improvement in data quality.
25% increase in operational efficiency, reducing data management time and eliminating redundancies.
Guaranteed regulatory compliance and enhanced data security through scalable cloud solutions.
Results

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DOCUMENT MANAGEMENT & BI - USE CASE

Need

The client faced inefficiencies in managing approval workflows, purchase orders, and offers, along with difficulties in tracking official communications between customers and suppliers, and documentmanagement.

Solution

We implemented an integrated system that includes automated approval workflows, electronic signatures to speed up processes, tracking of official communications, and automatic document classification through OCR, making document management more efficient and precise.

Results

Increased operational efficiency and reduced approval times.
Improved transparency, organization, and accuracy in document management,
positively impacting overall productivity.

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MANUFACTURING IT - USE CASE

Need

The company struggled with process visibility, high operational costs, and limited productivity due to the complex integration of heterogeneous machines into the ERP system.

Solution

We implemented an advanced MES/MOM and SCADA system, integrated with IoT technologies and the company’s ERP. This allowed for real-time monitoring of production lines and data from machines, streamlining operations and improving traceability.

Result

Increased process visibility with a 20% improvement in operational efficiency.
Reduced operational costs through automation and better resourcemanagement.
Improved productivity and data security with real-time operational control.

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ARTIFICIAL INTELLIGENCE - USE CASE

Need

The client needed to improve quality control on the production line, as manual testing processes were not accurately detecting non-compliant parts.

Solution

We introduced a monitoring system based on audio files, integrated with AI algorithms
for real-time analysis and automatic defect detection. This solution was implemented
directly on the production line to increase precision and efficiency.

Result

Increased accuracy in quality control, reducing false positives by over 30%.
Reduced waste and improved production efficiency, optimizing the detection of noncompliant
parts.
Enhanced product quality through real-time AI-driven quality checks.
Results