Home » Translytics Blog » Unlocking the Digital Supply Chain: Leveraging Supply Chain Analytics for Success in the Digitalization Era
Digital SupplyChain
Aug 5, 2023:
The digital revolution has left no industry untouched, and the supply chain is no exception. In recent years, traditional physical processes have given way to efficient digital workflows, thanks to the power of digitalization. This transformation has been made possible by adopting cutting-edge technologies such as Enterprise Resource Planning (ERP) systems, harnessing the Internet of Things (IoT), and leveraging cloud infrastructure. These advancements have completely reshaped the supply chain landscape by enabling comprehensive data collection and analysis. In this blog post, we will explore the significant changes brought about by digitalization and the various methods of data collection that have revolutionized supply chain operations.

Automation with ERPs, TMS, WMS

At the forefront of supply chain automation are Enterprise Resource Planning (ERP) systems. These robust platforms have played a pivotal role in streamlining various processes, including invoicing, purchasing, and payments. By automating these tasks, ERPs ensure that valuable data is readily available from all stages of the supply chain. This wealth of information empowers businesses to make informed decisions based on real-time insights. Furthermore, Transport Management Systems (TMS) and Warehouse Management Systems (WMS) digitize transportation and warehouse processes, respectively, enhancing efficiency and visibility across the supply chain.

Utilizing IoT for Real-Time Data

Gone are the days of relying solely on historical data. The advent of the Internet of Things (IoT) technology has ushered in an era of real-time data collection. In the past, data capture software lacked the ability to collect real-time information at specific locations. However, IoT has changed the game by enabling businesses to capture location-specific data as events unfold. This real-time data, coupled with the power of cloud computing, allows companies to make informed decisions promptly. For example, integrating GPS technology into supply chain operations enables businesses to optimize last-mile deliveries based on real-time traffic conditions. Additionally, technologies like RFID tags, barcodes, and IoT sensors enhance tracking, monitoring, and overall visibility throughout the supply chain.

Incorporating External Datasets for Improved Decision-Making

The integration of external datasets has proven to be a game-changer for supply chain decision-making. By harnessing data from various channels, businesses can gain valuable insights into market trends, consumer behavior, and industry benchmarks.

These external datasets, combined with sophisticated AI and ML-based demand forecasting algorithms, have greatly improved the accuracy and reliability of supply chain forecasts. By tapping into these additional data sources, companies can enhance visibility, and transparency, and ultimately make better-informed decisions.

Data Analytics for Informed Decision-Making

Data analytics has become the cornerstone of modern supply chain management. The vast amount of data collected through ERP systems, IoT devices, and external sources serve as a goldmine of information for businesses. By analyzing this data, companies can derive meaningful insights to drive decision-making. Basic analysis techniques, such as data slicing and dicing, provide a retrospective understanding of past events and performance. Moreover, by combining different datasets, businesses can uncover deeper insights into customer preferences, market trends, and operational efficiencies. The application of advanced AI and ML algorithms takes data analytics a step further, enabling predictive analytics to forecast future outcomes and make proactive decisions.


The digital era has brought about a paradigm shift in supply chain management. Through the adoption of ERP systems, IoT technologies, and cloud infrastructure, businesses have experienced a profound transformation. Automation, real-time data capture, integration of external datasets, and data analytics have become crucial components of a successful supply chain strategy. Embracing these advancements allows companies to streamline operations, improve decision-making, and gain a competitive edge in today’s dynamic business landscape.