Case Studies

Real impact generated by Artificial Intelligence.

Explore how companies are using Mobizze's solutions to qualify leads, automate support, and simplify operational processes.

Measurement Methodology

All results presented are calculated by comparing the baseline audit of the manual process with telemetry collected during the first 3 to 6 months after system implementation.

Portugal Textile

Commercial & Order Automation

1. The Challenge: Receiving a high volume of complex e-mail orders with scattered technical information created a constant need for manual validation, delaying customer responses.

2. The Implemented Solution: We implemented an AI system integrated with e-mail (Emailbot) and the CRM. The flow automatically analyzes all incoming orders, extracts technical specs, qualifies opportunities, and prepares draft replies before human intervention.

3. Real Metrics & Results
-80%
Admin Work (Time)
+22%
Conversion Rate
Audit & Verification:
Analyzed period: January to June 2026
Sample: 4,820 commercial emails
Initial situation: 18 minutes average per request
Post-implementation: 4 minutes average with human validation
Method: comparison of system telemetry with previous logs
Result: approximately 78% reduction, rounded to 80%
Context: System tested and validated in a group company (Portugal Textile).

"The impact on our profitability was immediate. The commercial team stopped wasting hours reading hundreds of technical emails and started focusing solely on closing deals. Mobizze's system completely transformed our daily operation."

— Commercial Director, Portugal Textile

Portugal Shoes

Logistics Sync & Supplier Management

1. The Challenge: Tracking raw material shortages and communicating schedule changes to the factory involved dozens of phone calls and manual ERP updates, causing production delays.

2. The Implemented Solution: We built a logistics assistant that cross-references supplier data with internal planning. The AI automatically alerts the factory team about material delays, suggests schedule adjustments, and updates the order status in the ERP. The factory now operates with far fewer interruptions.

3. Real Metrics & Results
100%
Auto Tracking
-40%
Production Delays
Audit & Verification:
Analyzed period: September 2025 to March 2026
Sample: 1,200 planning incidents
Initial situation: Manual process dependent on supplier updates and 5 hours/week in reconciliation
Post-implementation: Daily automatic tracking and predictive delay notifications
Method: direct measurement of the volume of delays reported on the production line
Result: measured reduction of 42%, rounded to 40%
Context: System tested and validated in a group company (Portugal Shoes).

"The synchronization between the factory and suppliers was absolute logistical chaos. Now, the AI predicts shortages even before they happen, saving us thousands of euros. It was unquestionably the best technological investment we've made."

— Operations Manager, Portugal Shoes

Absolutarget Group

Document Analysis & Financial Reporting

1. The Challenge: Reconciling invoices, receipts, and expense reports across multiple group companies required weeks of manual work at month-end, with a high risk of human error.

2. The Implemented Solution: We developed a system that reads hundreds of unstructured financial documents. The AI extracts values, categorizes expenses, and exports centralized dashboards for group management.

3. Real Metrics & Results
Days → Hrs
Closing Time (Time)
99.9%
Extraction Accuracy (Cost/Risk)

"The process that used to take entire days is now closed in hours. Data reliability allows us to make financial decisions much faster."

— Financial Director, Absolutarget Group

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