RUMAZA Studio
Dashboards & data

Optimise Your Logistics with an Effective Dashboard

Efficiently control shipments, OTIF, incidents, and costs.

Challenges in Logistics Management

Logistics is a critical component of the supply chain, and a lack of visibility can lead to significant issues. Without an appropriate dashboard, logistics directors face difficulties tracking shipment performance and incidents that may arise along the way.

One of the main complications is the lack of consolidated information. Data can come from multiple sources, making it difficult to make informed decisions. A logistics dashboard allows for centralising this information, providing a clear and accessible view.

Delays in shipments are another common challenge. Without proper tracking, it is easy to lose sight of deadlines and commitments to customers. A dashboard that monitors OTIF (On Time In Full) helps identify problematic areas and implement improvements.

Incident management is essential for maintaining customer satisfaction. Without a system to record and analyse these incidents, it is difficult to understand their frequency and causes. A logistics dashboard can automate this process, providing accurate and real-time data.

The costs associated with logistics are another critical aspect. Without the right tools, companies may face unnecessary expenses. A dashboard allows for analysing shipping costs, identifying patterns, and optimising processes to reduce expenses.

What is a Logistics Dashboard?

A logistics dashboard is a visual tool that allows logistics managers to monitor and analyse the performance of their operations in real time. This type of dashboard integrates data from various sources, offering a unified view of key metrics.

Logistics dashboards typically include indicators such as OTIF, the number of incidents, shipping costs, and other relevant KPIs. By centralising this information, logistics directors can quickly identify areas that require attention.

Automated reporting is one of the main advantages of a logistics dashboard. This means that data is updated in real time, eliminating the need for manual reports that are prone to errors and outdated information.

Additionally, a logistics dashboard facilitates the identification of trends over time. By analysing historical data, managers can anticipate future problems and make proactive decisions to improve operational efficiency.

Dashboards also allow for customising data visualisation, adapting to the specific needs of each user. This ensures that every team member has access to the most relevant information for their role.

When to Use a Logistics Dashboard?

Criterios
  • When real-time visibility of logistics operations is required —with volume and data justifying it.
  • When managing multiple data sources that need to be integrated —with volume and data justifying it.
  • When wanting to automate reporting to reduce administrative burden —with volume and data justifying it.
  • When analysing shipping costs and seeking optimisation opportunities —with volume and data justifying it.
  • When it is necessary to track incidents and improve customer satisfaction —with volume and data justifying it.
  • When implementing improvements in OTIF and other logistics KPIs —with volume and data justifying it.

Solutions for Logistics Management

01

Data Integration

We connect your existing systems to centralise information in a single dashboard, facilitating access to relevant data.

02

Reporting Automation

We implement tools that automate report generation, ensuring you always have updated and accurate data.

03

Cost Analysis

We develop detailed analyses of shipping costs to identify areas for improvement and optimise your logistics operations.

04

Monitoring OTIF and Incidents

We create a system that allows you to track OTIF performance and manage incidents in real time, improving customer satisfaction.

Our Approach to Developing Logistics Dashboards

01
Needs Analysis
We conduct an initial meeting to understand your specific needs and the available data. Deliverable documented and reviewed with you before the next step.
02
KPI Definition
We collaborate with you to define the most relevant KPIs to be included in the dashboard. Deliverable documented and reviewed with you before the next step.
03
System Integration
We connect your data sources to ensure that information flows correctly to the dashboard. Deliverable documented and reviewed with you before the next step.
04
Dashboard Development
We create the logistics dashboard as agreed, ensuring it is intuitive and easy to use. Deliverable documented and reviewed with you before the next step.
05
Testing and Adjustments
We conduct tests to ensure the dashboard functions correctly and meets your expectations. Deliverable documented and reviewed with you before the next step.
06
Training and Support
We provide training to your team to ensure effective use of the dashboard and offer ongoing support. Deliverable documented and reviewed with you before the next step.

Relevant Technologies for Logistics Dashboards

  • Tableau
  • Power BI
  • Google Data Studio
  • Microsoft Excel
  • QlikView
  • Looker
  • Domo
  • SAP Analytics Cloud

Application Scenarios

Escenario 1

Shipment Monitoring

A distribution company uses a dashboard to track the status of its shipments in real time, allowing managers to make quick decisions in the event of delays.

Escenario 2

Incident Analysis

A logistics company implements a dashboard that records incidents, facilitating pattern analysis and continuous improvement in incident management.

Escenario 3

Cost Optimisation

A retailer uses a dashboard to analyse shipping costs, identifying areas where it can reduce expenses and improve profitability.

Common Mistakes in Dashboard Implementation

Evitar
  • Not clearly defining KPIs before starting the project.
  • Not involving end users in the design process.
  • Underestimating the importance of data quality.
  • Not updating the dashboard regularly.
  • Ignoring staff training on dashboard usage.
  • Not establishing a maintenance and support plan.
  • Confusing data visualisation with real analysis.

Frequently asked questions

What data do I need to create a logistics dashboard?

We define this in scope according to your systems, volume, and legal constraints —without promising generic figures.

How long does it take to implement a dashboard?

We define this in scope according to your systems, volume, and legal constraints —without promising generic figures.

Is it necessary to train staff in using the dashboard?

We define this in scope according to your systems, volume, and legal constraints —without promising generic figures.

Can I integrate data from different systems into a single dashboard?

We define this in scope according to your systems, volume, and legal constraints —without promising generic figures.

What technologies are most suitable for a logistics dashboard?

We define this in scope according to your systems, volume, and legal constraints —without promising generic figures.

How can data be updated in the dashboard?

We define this in scope according to your systems, volume, and legal constraints —without promising generic figures.

Related guides

Updated: 2026-06-29 · Author: Rubén Maestre

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