Tag: digital supply network

IR37

Unveiling the True Potential of Supply Chain Analytics

Supply chains are lucrative platforms for gaining a competitive advantage. This is because of two reasons which include their complexity and their role in defining the cost structure of a company.  With the growing data complexity, most companies are finding it difficult to model their trade-offs of growth and supply chain cycles such as the procurement process. This is where supply chain analytics can help.

By leveraging supply chain analytics solutions, companies can fine-tune their entire supply chain network in ways that was probably not possible in the past. Supply chain analytics can help in effective supply chain management and identification of inefficiencies in supply chain configurations. It has the potential to improve the end-to-end performance of the supply chain in terms of financial, operational as well as managerial aspects. Therefore, it is high time that companies realize the potential of supply chain analytics in a real sense.

The growing complexity and globalization have put supply chains into the limelight like never before.

At Quantzig, we understand the difference that supply chain analytics can create in the supply chain operations of a company. And to help companies deal with the logistics and transportation challenges as well as improve the supply chain strategy, our team of experts has highlighted a few major benefits of supply chain analytics that can act as a guide for companies to understand market volatility, the impact of indirect supply chain cost and improve ROI.

Looking to improve efficiency across the supply chain but wondering where to start? Get in touch with our experts.

Benefits of Supply Chain Analytics

Gain a significant ROI

Supply chain analytics has the ability to analyze the structured as well as unstructured data. The insights gained from such data can help companies to respond quickly to customers’ demand maintaining integrity and accuracy.

Understand the risks better

Supply chain analytics can help in identifying the known and unknown risks. Also, it can assist in predicting future risks by identifying trends and patterns across the supply chain.

Improve accuracy in planning

By analyzing customer data thoroughly, supply chain analytics can help businesses to precisely predict future demand. Also, it guides an organization in decision-making regarding production by analyzing customer demand and market trends.

Achieve the lean supply chain

Supply chain analytics can be used by companies to monitor the responses of stakeholders, warehouse, and customer needs for data-driven decisions.

Our supply chain analytics solutions help businesses to tackle challenges such as reduced visibility and inefficient operations across the supply chain and also offer them actionable insights to facilitate quicker decisions for global supply chain management. Request a FREE proposal to know more about our portfolio of services.

Prepare for the future

Companies are leveraging advanced analytics for supply chain management. Advanced analytics has the potential to process both unstructured and structured data to offer organizations a competitive edge. Also, it sends timely alerts that facilitates better decision making. Furthermore, supply chain analytics can establish a correlation among different sources and minimize risks.

5 C’s of Supply Chain Analytics

Connected

Supply chain analytics makes unstructured data from various social media platform and structured data from the Internet of Things (IoT) accessible.

Collaborative

Supply chain analytics enhances collaboration with suppliers across the entire supply chain through cloud-based commerce networks.

To know how our analytics solutions can help you in quick and accurate decision making, request a free demo below.

Cyber-aware

Using analytics in the supply chain also ensures the security of the supply chain from cyber hacks and intrusions.

Cognitively enabled

Using analytics in the supply chain improves the capability of the supply chain through automation. It helps in coordinating, collating, and conducting decisions across the entire supply chain.

Comprehensive

Supply chain analytics offers comprehensive and fast insights in real-time as latency is something that is not acceptable in the future supply chain.

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IR2

How will Big Data Analytics Reshape the Supply Chain and Logistics Function in an Organization?

Big data analytics is a much-hyped topic in the world today. Almost every industry is looking for ways to incorporate big data and advanced analytics to help improve their business operations. The supply chain and logistics industry is no exception to this trend. The massive amount of data generated by a company’s supply chain and logistics function can be fruitfully used to generate meaningful insights and give strategic direction to the company. A majority of C-level executives have already begun looking for ways to incorporate big data analytics into their supply chain systems. Big data can significantly improve productivity and efficiency in supply chains and provide an edge over theFree demo competitors. Additionally, big data can also help companies identify new business opportunities. So, how and where can big data be used in the supply chain and logistics function?

Supply chain traceability

One of the most critical success factors for a supply chain is the ability to pinpoint where the products are in the supply chain. Advances in digital technologies along with barcode scanners and RFID devices have enabled supply chain managers to precisely track where in the supply chain their products are located. Additionally, traceability is also a sensitive matter in the food industry as factors such as disease outbreak, chemicals used, and processing systems should be attributed to responsible parties. To track down where exactly the fault has occurred in the food supply chain, traceability is a must to know where the items originated and what processing took place at each level. This way, food and beverage sector companies can not only avoid hefty fines but also ensure customer satisfaction by providing safer and healthier food. Such sensors technologies, along with IoT and big data can enable end-to-end traceability, which helps the company quickly identify the instances of food contamination.

Efficient procurement

The volume and quantity of data generated by the procurement department are immense. Processing such data with machine learning and optimization algorithms can help uncover patterns and associations amongst the datasets to make both strategic and tactical procurement decisions. Spend data, contract data, and supplier related data can provide detailed information on the supplier and help identify the ideal vendor. Additionally, mining historical data can unveil future trends and also help identify risks including supplier risk, pricing risk, compliance risk, geographical risk, and disaster risks. Predictive analytics helps the procurement teams to be prepared for a future scenario.

Optimized logistics network

Big data can help the logistics industry players to optimize travel routes due to the advent of IoT and sensors technology. Today, it is possible for vehicles to communicate with each other using vehicle telematics to coordinate on best routes and alert on less desirable routes. The vast amount of data regarding routes preferences, type and size of the vehicle, traffic densities, and weather conditions can provide clues to improve driving performance, determine the exact delivery time, and identify & minimize risk areas.

Improved warehousing efficiency

A warehouse is a piece of real-estate where companies store their valuable commodities. And with all such real-estate, the problem is it costs too much money, not only the rental or lease costs, but also facility management costs. Big data can help supply chain managers to maintain an optimum level of inventory just to the point that they face fewer stockout situations without overstocking the inventory. The power of big data is not only limited to stock optimization, but it can also suggest where to strategically place warehouses, what the optimum size should be, and how to arrange the stock to facilitate easy check-ins and dispatch.

To know more about applications of big data in supply chain and logistics network, warehousing efficiency, procurement efficiency, and supply chain traceability:

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IR30

Auto Dealership Company Leverages Digital Analytics Study to Drive Sales in Emerging Markets

Quantzig’s recent study on digital analytics for a global auto dealership company helps them understand user behavior, analyze website traffic, optimize marketing campaigns, and facilitate strategic decision making.

Importance of digital analytics

Digital analytics solutions help organizations to target their potential customers thereby eliminating any geographic or demographic constraints. The automotive industry can leverage actionable insights offered by digital analytics solutions to drive sales, optimize marketing campaigns, and measure the return on investment. With the advent of new technology, automobile manufacturers can rely on advanced applications and services to understand consumer behavior, and devise effective marketing strategies to drive revenue. The automobile manufacturers operate in a niche product segment; thus, to maximize brand visibility, they can leverage digital and web analytics platforms such as search engines. Quantzig’s digital analytics solutions enables the client to analyze the impact of internet and mobile devices on customers buying behavior. Our digital analytics solution helps organizations to identify the appropriate distribution channel and explore the untapped market opportunities for their products.

Uberization Effect in Automotive

The automotive industry is witnessing phenomenal growth which can be attributed to latest trends in the market such as connected cars, shared mobility, etc. Today consumers prefer to use or hire services offered by fleet operators; thereby, creating a shift in the automotive revenue pool. The gradual decrease in privately-owned vehicles and automobile sales is a result of consumers preferring on-demand and data-driven mobility services. Digital analytics enables automobile manufacturers to conduct a market analysis of the automotive industry, identify the trends, and understand consumer behavior and preferences to drive sales and profitability.

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Outcomes and solutions offered

Quantzig’s offered insights and solutions to a global auto dealership company that helped them optimize their marketing strategies and drive sales. Some of the solutions offered are as follows:

  • Understand the consumer behavior, analyze website traffic, and bounce rate
  • Optimize marketing campaigns and promotional activities by insights gained from digital analytics studies
  • Facilitate new customer acquisition and retain existing customers, thereby drive revenue and sales
  • Refine target market, launch additional marketing campaigns, and identify the right channel to increase marketing return on investment (ROI)

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The complete case study on Increasing Automobile Sales in Emerging Markets through Digital Analytics is now available.

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For any queries, reach us at – hello@quantzig.com

IR21

Supply Chain Visibility Engagement – 20% Reduction in Replenishment Cycle

Quantzig’s recent study on supply chain visibility and cost to serve analysis for a leading manufacturer and retailer in the US guarantees 27% reduction in unfulfilled orders.

Controlling cost-to-serve matrix

Companies are formulating new strategies by leveraging supply chain visibility with cost-to-serve analysis. Gaining insights on supply chain visibility and understanding the cost to serve matrix will help companies manage their suppliers, manufacturing partners, and logistics efficiently. These new strategies address various business challenges and deliver solutions that evaluate cost-service transactions and ensures that customer demands are addressed in a profitable manner. Designing a profitable supply chain matrix requires suppliers to understand the demand and consumer relationship, distribution channels, and category management. Quantzig offers business intelligence solutions that cater to all the specific requirements of the client. The team provides data analytics services that help organizations gain a better perceptibility of the supply chain processes and enhance operational efficacy across the supply chain.

Organizations in the global market are adopting predictive analysis to obtain information to optimize the decision-making process and increase efficacy in the supply chain. The analysis uses data collected from various sources to understand the consumer preferences, product performance, and production capacity. Businesses are using this data to make real-time changes in their service delivery models and optimize inventory levels. Predictive analysis is the most competent tool for forecasting and planning business operations and growth potentials.

Increasing focus on demand-supply management

Through demand-supply management, suppliers tackle complexities associated with identifying, measuring, and managing returns in the supply chain. Focusing on traceability and sustainability during product design will help manufacturers enhance supply chain visibility. Moreover, opting for proper logistics and distribution channels will improve demand management decisions, inventory management, and reduce product returns.
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Digitalizing the supply chain

Increasing connectivity by designing and building a digital supply network (DSN) is the next big thing in the global retail market. Many businesses are implementing e-procurement, e-sourcing, online inventory and logistics systems, and software solutions like Big Data to scale the supply chain network. DSN re-vamps the supply chain by managing suppliers, materials, and distribution seamlessly. Moreover, this new network will help companies to expand to new markets and launch innovative product offerings quicker.

Outcomes and solutions offered

Quantzig’s expert team with significant experience in supply chain visibility engagements helps a leading retailer in the US to overcome challenges due to its limited analytics capabilities and inability to manage the complexity and scalability of information. Some of the solutions are listed below:

  • Provide a coherent and multi-site view of the transactional data about products and material flow across multiple sites and assures forecast accuracy of around 85%
  • Access information related to orders, invoices, forecasts, and product backlog
  • Offer real-time dashboard using Tableau resulting in 20% reduction in replenishment cycle
  • Near real-time tracking and update of data based on supply chain monitoring and demand fluctuations
  • Offer demand-supply management insights through supply chain visibility engagement and forecast the demand from each territory and for each product
  • Provide information on product and account-wise performance for each region based on the generated revenue and the sales history

Capture

The complete case study on supply chain visibility and cost to serve analysis for a leading manufacturer and retailer is now available.

Recent case studies that might interest you:

For any queries, reach us at – hello@quantzig.coms