Supply Chain Network Design and How Does It Work

According to Armstrong Report, structural shifts in the industry have made supply chains increasingly complex, necessitating increasing reliance on technology to ensure high service levels. Moreover, the COVID-19 pandemic has further made organizations realize supply chain complexity. As a result, there is an increasing trend towards end-to-end outsourcing, and organizations are looking forward to engaging supply chain companies to manage their supply chain and logistics requirements and offer additional specialized services.

TVS SCS provides Supply Chain Network Design to reduce customer supply chain complexity. We believe it improves our customers’ competitive advantage and enhances their end-customer experience and revenue predictability. We use technology, data analytics and execution experience to offer key solutions such as accurate demand forecasting, inventory planning and production, procurement management, network optimization, visibility and supply chain agility to handle evolving needs.

Empowered by our artificial intelligence, machine learning and big data analytics capabilities, our algorithms make informed decisions at every level of our business, providing real-time data analytics to optimize network density and equipment utilization across our entire supply chain network. This improves customer service, operational efficiency and load optimization. We have also utilized machine learning extensively to build various capabilities, including intelligent geo-location, supply chain network design, route optimization, load aggregation, ETA (estimated time of arrival) prediction and product identification.

Our predictive analytics and intelligent decision-making add significant value for Supply Chain Network Design customers, particularly in industries where seasonality drives high volumes through outbound and inbound logistics processes. We have developed analytics that predicts future surges in demand using a combination of data histories and customer forecasting.

We collect, structure, store and process vast amounts of transaction and environmental data. We incorporate our learnings into customer supply chain network design solutions by leveraging access to a large amount of data and our analytical processing capabilities. We believe our ability to process and act upon data is a key competitive advantage and differentiator.