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B2B Logistics Automation

M.E.D.I.C.A.L.
Real-time inventory control

SaaS platform for distribution centers and industrial warehouses. Integration of IoT sensors, predictive reorder algorithms, and ERP synchronization.

Industry Trust

What logistics teams say

Distribution centers in Argentina already operate with M.E.D.I.C.A.L. Measurable results, real integration, and direct technical support.

★★★★★ 5.0
“We implemented M.E.D.I.C.A.L. in our CWH in Córdoba. Inventory accuracy went from 82% to 97% in eight weeks. The support team resolved the integration with our ERP in three days.”

Gustavo Méndez

Head of Operations, Logística del Centro

★★★★★ 5.0
“The reorder automation saved us hours of manual planning. Now the system adjusts orders based on real demand. We reduced dead stock by 28% in the first quarter.”

Laura Ferreyra

Supply Chain Manager, Almacenes del Norte

★★★★★ 5.0
“We had doubts about migrating from a legacy system. The M.E.D.I.C.A.L. team supported us every step of the way. Today we run on real-time data with no double entries.”

Santiago Paz

Technology Director, Distribuidora del Sur

Companies that trust M.E.D.I.C.A.L.

Logística del Centro Almacenes del Norte Distribuidora del Sur CWH Buenos Aires Red Logística Argentina

Frequently Asked Questions about M.E.D.I.C.A.L.

Direct answers about system implementation, integration, and operation.

What type of warehouses can M.E.D.I.C.A.L. manage?

The system is designed for distribution centers and medium to large-scale industrial warehouses. It supports multi-zone configurations, dynamic racks, and operations with high inventory turnover. Implementation adapts to the physical layout of the warehouse.

How does it integrate with our current ERP?

M.E.D.I.C.A.L. exposes REST APIs for bidirectional synchronization. We have native connectors for SAP Business One and compatible modules for Oracle JD Edwards. Synchronization latency is under 5 seconds under normal network conditions.

What hardware is needed in the warehouse?

The system works with industrial barcode scanners, Android mobile terminals, and connected scales. For the IoT layer, gateways supporting the MQTT protocol are required. It is not necessary to replace existing equipment if it is compatible with industry standards.

How long does the initial implementation take?

Typical deployment lasts between 4 and 8 weeks, depending on the number of zones and the complexity of the ERP integration. It includes process mapping, inventory rule configuration, and operational team training.

What technical support does the SaaS service include?

The base plan covers 24/7 infrastructure monitoring, automatic software updates, and ticket support during business hours. For critical environments, we offer an SLA with a response time of less than 2 hours and a dedicated engineer during migration.

Does M.E.D.I.C.A.L. work without an internet connection?

Yes, mobile terminals and local gateways queue events when connectivity is interrupted. Once the connection is restored, data is automatically synchronized without any loss. The architecture is designed to tolerate outages of up to 72 hours.

Why Choose M.E.D.I.C.A.L.

It's not just another inventory system. It's built for distribution centers that need industrial precision and real-time data without relying on spreadsheets or manual processes.

01

Real-Time Data, Not Estimates

While other systems update inventories every hour or at shift close, M.E.D.I.C.A.L. processes each movement in under 200 ms. The dashboard reflects the current state of the warehouse, not what it was 45 minutes ago.

02

Native ERP Integration

Direct connectors with SAP Business One, Oracle, and local systems. No additional middleware or custom scripts needed. Bidirectional synchronization runs with latency under 5 seconds.

03

Architecture Designed for CWH

The system is designed for high-turnover warehouses with multiple picking zones, cross-docking, and returns. It's not adapted retail software: it was written from scratch for industrial logistics.

Real Cases, Not Promises

Each implementation begins with a 30-day pilot in one warehouse zone. We measure inventory accuracy, picking cycle time, and error rate before and after. Results are shared with the operations team without filters.

  • Dead stock reduction: 34% in three months (Buenos Aires case)
  • Picking accuracy: +22% without changing warehouse layout
  • 2.3 million events processed per hour in medium-sized facilities

What the Teams Say

“We went from reconciling inventories every 48 hours to having the exact data at the moment of movement. The learning curve was short because the system speaks the same language as the warehouse operators.”
Logistics Manager Distribution Center, Córdoba
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