Torre de Controle Logístico (MCN)

In a context where logistics efficiency is vital to business success, adopting an integrated solution goes beyond TMS (Transportation Management System) software. The MCN (Multienterprise Collaboration Network) represents an innovative approach that promotes collaboration between carriers, suppliers and customers, maximizing efficiency and forming a powerful, connected network.

At NEO, we combine the traditional functions of a TMS with the advanced concept of MCN, centralizing transport and supplier information in one place. Our logistics technology creates a collaborative network that facilitates data exchange, enables proactive decisions and reduces supply impacts. We guarantee traceability, compliance with deadlines and agreed prices, promoting efficiency and transparency in the management of the logistics chain. With a focus on innovation, we help companies improve their logistics operations and achieve operational excellence through integrated communication and a unified vision.

Transforme a logística da sua indústria com o AX4

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Real companies. Proven results.

Increased Productivity

Automate processes, repetitive and time-consuming tasks that can be carried out quickly and without human intervention, freeing up time for more valuable activities.

Sustainability

Reduce the use of paper, promoting environmental sustainability and operational efficiency with fully digitized processes, minimizing errors or loss of information.

Connected

Have a network of partners connected and collaborating with information to direct your operation more clearly, avoiding future problems.

Customer satisfaction

Offer full visibility of deliveries, allowing customers to track the status of each shipment accurately.

We combine consultative expertise with cutting-edge technology.

Meet AX4 from Siemens Digital Logistics

With more than 500,000 users connected globally, AX4 logistics management software from Siemens Digital Logistics offers cloud technology capable of centralizing information and enabling an efficient logistics control tower for your business.

Real companies. Proven results.

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We combine consultative expertise with cutting-edge technology.

Get to know nPlan

Use the Supply Chain Planning platform that Neo offers to plan your inventories in an integrated way with your S&OP/IBP process, as well as with the Master Production Schedule (MPS) with finite capacity to understand the viability of your strategy in practice, given your production constraints.

We develop shrewd solutions for demanding companies.

Less frustration.
More results.

Less frustration.

More results.

We know that the Supply Chain digitalization journey is complex. We won't promise miracle solutions. We develop projects that we are fully convinced will deliver results, so we guarantee projects with no surprises.

How it works:

Finite capacity

Carry out your industry's Production Scheduling taking into account the availability of resources, synchronization between operations and all other constraints.

Business rules

Count on a solution that absorbs specific business rules in a personalized way, meeting the needs of your industry.

Simulations and Heuristics

Simulate different scenarios to find solutions that seek to minimize costs, lead times, inefficiencies and stocks.

Agile Responses to Unforeseen Events

Respond quickly to changes in demand and last-minute unforeseen events, integrated with your ERP, reducing your team's effort and impacting all areas linked to PPCP.

How it works:

Demand Driven

Your resupply cannot be based on fixed quantities or moving averages. If your demand varies, it is important that, in order to maintain the same coverage, your resupply also follows this variation.

Transfers

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Fair Share

In many cases it is necessary to make a decision on where to transfer limited stocks. Do this by considering the coverage, service rules and financial factors for each destination unit.

Finite capacity

Neo's distribution solutions are more than a DRPII, as they take finite capacity into account and generate transfer plans that adapt to the transport and storage constraints at each center.

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