I will say Data Analysis because it is to adapt it to the side of data you want to analyse. Budget or data integration are part somehow of Data Analysis.

Excel. It's one of the most flexible tools I've come across. If you desire anything else, you should start with being sure about your true requirements. The 'most advanced' software will not help you, if you don't know your processes, your requirements, your vision. And even if you know all that, choose the best match, not the most advanced.

This question is very broad! it depends on what are you aiming out of this software, your scope of work, the quality of your data, the degree of complexity and the model you are proposing for to data manipulation , in 2024 , we are in the ERA of automation and Data mining , your business model will dictate on you which type of data to analyze & what reports will give you the right/accurate insights! based on that accordingly you are going to select your software , notwithstanding that the more your data are complex and extracted from different source the bigger your software investment will be. So it all depends on your business model, your scope of work and DEFINITELY your budget

From my experience, the greater the integration of systems across different departments, the fewer errors occur. Seamless system integration minimizes discrepancies and ensures consistency across data points, leading to more accurate and reliable analytics. This not only streamlines processes but also enhances the overall operational efficiency of the organization.

For logistics software to offer advanced analytics, it must integrate data from diverse sources within the supply chain, including internal databases, transportation and warehouse management systems, and external data from suppliers and customers. Effective software seamlessly merges this information to provide a unified view of operations. This integration is vital for accurate reporting and analytics, ensuring all relevant data is considered in decision-making. Without this holistic approach, insights may be fragmented, leading to suboptimal decisions and inefficiencies in the supply chain.

Several logistics software options offer advanced analytics and reporting capabilities. This depends on factors such as your budget, the size of your operations, and the specific analytics and reporting features you require. 1. Tableau: Tableau is known for its powerful analytics and visualization capabilities, creating interactive dashboards and reports to gain insights into its logistics operations. 2. Microsoft Power BI: Power BI is a widely used tool offering advanced analytics features that can help logistics companies track KPIs and make data-driven decisions. 3. QlikView: QlikView is a business intelligence tool providing powerful analytics and reporting capabilities for logistics companies seeking deeper insights into their data.

The platform's user-friendly interface and customisable dashboards allow logistics professionals to easily access and evaluate vital data, making educated decisions that can improve productivity, cost savings, and customer satisfaction. SAP's logistics technology innovation keeps its analytics and reporting capabilities ahead of market trends and problems.

Lo importante no es la cantidad de datos, si no tener datos reales y fiables para poder a partir de ellos y las nuevas funcionalidades de los softwares poder realizar estudios predictivos y preventidos de las diferentes áreas que actúan en la cadena de suministro

An advanced and analytic reporting capability software provides real-time visibility into all aspects of warehouse operations, allowing users to track and analyze key performance indicators (KPIs) such as inventory levels, order fulfillment rates, and transportation costs. With advanced reporting features and customizable dashboards, users can gain valuable insights to optimize warehouse processes, improve efficiency, and make data-driven decisions to enhance overall supply chain performance.

In the era of Amazon, customers expect real-time visibility into their shipments. Exceed these expectations with software that goes beyond basic tracking. Look for features like real-time condition monitoring, which provides insights into temperature, humidity, or shock events, ensuring product integrity. Investigate solutions like MacroPoint or Tive that offer advanced tracking and predictive ETAs based on real-time traffic conditions, enabling proactive customer communication and improved service levels.

One thing I found helpful that real time tracking of vehicles help customers & suppliers both for effective planning, scheduling of inventory. This also helps for efficient fleets management, Logistics planning, customer orders management, reordering of FG by customers. Most importantly, this helps for avoiding any emergency arises due to hazardous goods and important for safety aspects. This is effective tool for customer satisfaction.

Se voltarmos o olhar para a intra logística, temos uma grande variedade de utilização de rastreamento: - movimentação de máquinas dentro do armazém; - movimentação de embalagens (primárias, secundárias,...); e, - movimentação de pecas. A reducao de gastos para implantação e manutenção de sistemas RFID tem feito com que cada vez mais empresas invistam nesta tecnologia de rastreamento afim reduzir custos internos.

Recursos de rastreamento em tempo real são essenciais para um software de logística eficaz. A capacidade de monitorar o status e a localização de remessas, veículos e inventários em tempo real permite uma gestão proativa e uma tomada de decisões rápidas. Softwares como Descartes, FourKites e Project44 são conhecidos por seus recursos avançados de rastreamento e visibilidade, fornecendo atualizações em tempo real e alertas para eventos críticos na cadeia de suprimentos.

En tiempos donde se necesita tomar acciones ágiles es fundamental que el software provea funcionalidades predictivas y de aprendizaje continuo aprovechando las ventajas que ofrece la Inteligencia artificial!

Predictive analytics is incredibly valuable for our operations in Laos, especially given the long lead times we face. By leveraging advanced analytics, we can anticipate and plan for future demands and challenges, streamlining our processes and ensuring we stay ahead of the curve despite logistical delays. This forward-looking approach not only enhances efficiency but also keeps us competitive in a challenging market.

Predictive algorithms for supply chain management are definitely the future. Depending on the deployment segment we need to keep in mind its potential but also limitations. Fluctuations in the last 4 years in the ocean freight market are causing extra difficulties for engaging the right models for the rapidly changing environment. With all the black swans that we’ve seen it will be possible to predict more in the future but at the moment I have some doubts if the datasets are strong enough. For sure there is a need for storing quality data but it’s still not a standard among all the industry players.

Harness the power of predictive analytics to move from reactive to proactive supply chain management. But remember, the accuracy of these insights depends on sophisticated algorithms and high-quality data. Leading solutions like Llamasoft or Blue Yonder leverage machine learning and AI to deliver predictive models that can optimize inventory, anticipate demand fluctuations, and identify potential bottlenecks before they disrupt your operations.

Para contribuir de mejor manera en procesos de software logísticos. Lo tradicional es diseñar modelos predictivos. A través del uso de herramientas para analisis de datos se pueden ofrecer un conjunto de escenarios en los cuales las empresas diseñen procesos, planes, manuales, protocolos para una correcta eficiencia de los procesos logisticos. En mi experiencia la correcta planeación de la demanda en conjunto con procesos estrictamente determinados y proveedores de la cadena de suministro Proporciona información para el análisis predictivo.

Logistics analytics and reporting features from SAP Logistics Business Network cover transportation management, warehouse management, inventory visibility, and more. Integration with other SAP solutions and third-party systems strengthens its analytical capabilities, providing a holistic view of logistics operations and supply chain performance.

When working in logistics, the more efficient reports you have the more visibility you have. The customized reports helps in decision making and that lead for more efficient processes and cost reduction.

Custom Reporting: Custom reporting is a critical feature of logistics software that enables businesses to create reports focused on the key performance indicators (KPIs) most relevant to their specific objectives. The ability to design and generate custom reports quickly is essential for monitoring and improving logistics operations. Key benefits of custom reporting in logistics software include: A. Tailored Insights: Custom reporting allows businesses to track the metrics that matter most to their operations, such as delivery times, carrier performance, and inventory levels B. Improved Decision Making: By providing relevant data and insights, custom reporting empowers businesses to make informed decisions that optimize their logistics.

Demand aggregation is what gets covered the most in our own in-house developments, currently. Managing smoother pickups & deliveries on the go comes next. Integrated resource planning, route planning and volume optimization are what makes the uniqueness superlative to every other software available. Uniqueness here is the ability to surpass the efficiencies of the best Path Finding algorithms like Dijkstra and A*. Rarest of the RARE feature to serve travel cost reductions, vehicle count reductions or system throughput enhancement and we at Neural Heights Technologies do them all.

Don't settle for generic, one-size-fits-all reports. Demand software that empowers you to create custom reports tailored to your specific KPIs and business objectives. Seek out platforms that offer advanced visualization capabilities, such as interactive dashboards or heatmaps. By making complex data intuitive, you'll unlock deeper insights and drive more informed decision-making.

Uma questão que precisa ser melhorada são as funções que utilizamos nos ERPs e WMS da atualidade, existe complexidades que necessitam ser estudadas e bem treinadas para que haja um melhor manuseio dos sistemas. Softwares como SAP, Körber, Benner e entre outros possuem funcionalidades diferentes e de grau alto de dificuldade, a quebra deste paradigma ajudaria no melhor manuseio dos colaboradores como sistema, trazendo uma melhor experiência do usuário.

I believe user experience is on the top of the list because, like Steve Jons stated, you have to develop your solution based on the customer and not based on what you think will work. If the customer is happy and satisfied with the experience, then you have a good product. The more flexible the software is, the more is likely to get better results. Joel Benavides.

The user experience of logistics software is crucial. It must be intuitive and accessible for all technical levels, featuring a clean, user-friendly interface with clear navigation and robust support. Simplicity is key, as more features don't always equate to better usability. Ensuring the basics are solid, especially when working across different nationalities, helps everyone use the software efficiently, enhancing our logistics operations effectively.

A experiência do cliente na logística diz respeito, basicamente, à agilidade na entrega, qualidade e os custos envolvidos, se tornando parte de uma estratégia de atendimento ao cliente mais completo.

Uma interface de usuário intuitiva e fácil de usar é crucial para a adoção e eficácia de um software de logística. O software deve ser acessível a todos os níveis de usuários, desde operadores de armazenamento até gerentes e executivos. Facilidades como navegação simples, design responsivo e suporte ao cliente eficiente são aspectos importantes a serem considerados. Softwares com boas avaliações de usabilidade, como o SAP S/4HANA e o Oracle SCM Cloud, são exemplos de soluções que combinam funcionalidades poderosas com uma experiência de usuário agradável.

From my experience in the Humanitarian sector, I've learned that an all-encompassing, feature-rich software isn't always the best approach. The true key to success lies in using a system that is easy to learn, teach, and use. This ensures that all team members can effectively utilize the software, enhancing our operations without unnecessary complexity. Simplicity in our tools fosters wider adoption and more efficient use, proving that practical functionality trumps complexity every time.

Several logistics software platforms offer advanced analytics and reporting capabilities, and the best choice depends on your specific needs and industry. Some leading options include: • Oracle Transportation Management (OTM) • SAP Transportation Management (SAP TM) • Descartes Systems Group • JDA Software (now Blue Yonder) • Manhattan Associates Evaluate these options based on factors such as your organization's size, budget, specific requirements, and integration capabilities with existing systems. Additionally, consider seeking demos or trials to assess how well each platform meets your analytics and reporting needs.

In the quest for advanced analytics in logistics software, you've got a few standout options. SAP Logistics is the granddaddy of them all, like a Swiss Army knife with every tool imaginable—just be ready to tackle the manual. Oracle Logistics is for those who adore data more than their morning coffee, acting like a supercomputer that tests your worthiness. Blue Yonder is like that friend always five steps ahead, predicting your next move before you even realize it. Then there's Manhattan Associates, offering insights like a fortune teller at a supply chain carnival. Choose wisely in this adventure, as each tool brings its own quirks but promises to make you feel like a wizard of analytics!

A logistics software solution should possess the following key attributes: 1. Provides end-to-end transparency and live updates on all events throughout the process. 2. Automates and streamlines quality checks, minimizing manual errors and ensuring accuracy. 3. Measures productivity and enables effective resource allocation for maximum efficiency. 4. Identifies delays at various stages, speeding up the overall process by reducing cycle time. 5. Easily connects with other systems, promoting a unified and cohesive workflow. 6. Intuitive and easy to learn, understand, and use for new users. 7. Offers tailored reports, system alerts, and predictive analysis for data-driven decision-making.

Having procured Logistics software, Companies and Salespeople oversell the product. Aggregating data with human interaction and excel spreadsheets is ok but don't oversell the technology. As an advisor to a VC, I have found success weaving tech companies that are excellent at what they do with other tech companies that are excellent at what they do. More boutique and more accountable. C Suites have been burned on technology not living up to the promise with tight budgets it's a whole new world. Be honest and deliver!