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Logistics & Supply Chain Analytics

Efficient supply chain management and operations are vital for businesses to maintain their competitive edge. If you lack visibility into your inventory levels or supply chain performance, struggle with production and logistics optimization, it's time to leverage a modern Business Analytics platform.

Our state-of-the-art Analytics platform offers real-time visibility and process optimization, providing data-driven insights that enhance efficiency, improve performance, and lower costs across your supply chain.

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What is Supply Chain Analytics?

Supply chain analytics refers to the process of analyzing data and metrics related to the flow of products, materials, and information throughout a company's supply chain network. It involves collecting and examining data from various sources, such as procurement, logistics, manufacturing, and distribution, to gain insights and make informed decisions that can optimize supply chain operations.

Using Analytics for Supply Chain Master Planning

Supply chain master planning involves optimizing the manufacturing and delivery of goods – from raw materials to finished products, and from suppliers all the way to customers.  Its primary objective is to align supply capabilities with demand requirements, ensuring neither a shortage nor an oversupply of goods. Analytics can help you optimize, coordinate, and centralize the core aspects of supply chain master planning.

Warehouse Workers

Demand Forecasting

Fluctuations in consumer preferences, economic factors, and market trends can make it difficult to anticipate future demand patterns, resulting in excess inventory or stockouts.

Analytics can help in Utilizing real-time data and predictive analytics to generate more accurate demand forecasts, enabling better inventory management and reducing the risk of stockouts or overstocking.

Demand Forecasting

Inventory Management

Analytics platform can help you monitor key metrics like inventory-to-purchase ratio, stock turnover, and slow-moving stock, enabling you to quickly identify and address common inventory issues. It helps minimize overstocking by analyzing historical sales trends against current inventory levels, and prevents understocking by tracking average lead times from suppliers, allowing you to order sufficient stock to meet customer demand.

Warehouse Worker with Walkie Talkie
Aluminum Factory

Material Requirement Planning (MRP)

Traditional MRP systems often rely on static data and rigid planning parameters, which can lead to inaccuracies and inefficiencies in material planning and procurement processes.

Analytics embrace a more dynamic, responsive, and accurate approach to material requirement planning. This ensures that the right materials are available at the right time and in the right quantities, improving operational efficiency, reducing costs, and enhancing customer satisfaction.

Monitoring Suppliers Performance

You can integrate supplier performance data, such as on-time delivery rates, quality levels, and pricing, into analytics to proactively monitor and manage supplier relationships. 

 

Analytics can also help you analyze the time it takes suppliers to fulfill orders, see trends in orders delivered in full vs. partial orders, and examine orders based on product type, brand, or even region.  This enables organizations to identify potential risks, negotiate better terms, and make informed decisions about sourcing and supplier selection.

Boxes on Conveyor Roller

From inventory management to demand forecasting, Supply Chain Analytics gives your Operations and Logistics a Competitive Edge.

Taking Inventory at Warehouse

REAL-TIME VISIBILITY

With BI, you can get real-time visibility into inventory levels and supply chain performance, helping you to identify any issues and respond to them quickly. Read How we improve profits using modern Analytics

FORECASTING AND MANAGING INVENTORY LEVELS

BI can help you to forecast demand accurately and manage inventory levels effectively, reducing the risk of stockouts and excess inventory.

OPTIMIZING PRODUCTION AND LOGISTICS PROCESSES

Couple with the power of a Machine Learning Algorithm, your Analytics BI can help you to optimize production and logistics processes. Read how we reduce cost Vehicle routing cost using Genetic Algorithm.

IDENTIFYING TRENDS AND PATTERNS

BI can help you to identify trends and patterns in supply chain data, providing you with valuable insights that can help you to make informed decisions.

Distribution Warehouse with High Shelves
Warehouse Workers in Hardhats

DATA QUALITY & GOVERNANCE

It can be a major challenge when different departments within an organization work in silos, leading to a lack of collaboration and inconsistencies in the data being analyzed. By leveraging a BI platform, organizations can ensure that everyone is looking at the same reliable data, improve collaboration and coordination, and deliver better insights for informed decision-making.

While the challenges listed here are common in supply chain and operations, there may be other data related obstacles that your organizations face. We have experience implementing Modern Analytics platform for Operations and Supply Chain Function. Contact us for a free consultation.

By using BI to optimize their operations and improve their delivery performance, Go-Jek has seen improvements in KPIs such as delivery time (reduced by up to 30%) and customer satisfaction (increased by up to 20%).

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