MANUFACTURING AND LOGISTICS

91% of supply chain leaders with smart manufacturing solutions focus on digitizing their manufacturing operations.” Gartner

Manufacturing involves processes like supply chain, inventory, order management, and production from small-scale to established industries. Streamlining the procurement operations to maintain the supply chain process and reduce costs boosts the operational efficiency of the companies. Eliminating the inefficiencies and elevating the customer experience improves the manufacturing and order management process. With hyperautomation and process mining, companies can eliminate bottlenecks and have digitized manufacturing services.

BUSINESS CHALLENGES

Technology and Innovation
 Digital Transformation | Robotic Process Automation | Process Intelligence

The manufacturing and logistics industry is rapidly evolving and staying up to date with new technologies and innovations will be a key challenge. Every innovation leads to technological advances and clinging to outdated systems could expose the company to risk. Older systems no longer receive updates and support from manufacturers. This may involve investing in new equipment and systems and training and upskilling employees to use these technologies effectively. Maintaining manufacturing companies with a secured network becomes challenging. Advanced technologies boost manufacturing companies’ productivity and capability.

Supply Chain Disruption

The global nature of many manufacturing and logistics operations means that the industry is vulnerable to disruptions in the supply chain, such as natural disasters, political instability, and trade disputes. Managing and mitigating these risks will be a key challenge. Manually maintaining monthly reports becomes another risk for auto-manufacturing companies as it depends on collective data from various sources. These reports help in strategic decisions for manufacturing companies and reduce labor time. Enterprise resource planning is another task in supply chain and demand planning. A rise in inflation affects the demand-supply that impacts manufacturing.

 Digital Transformation | Robotic Process Automation | Process Intelligence
Labor Shortage
 Digital Transformation | Robotic Process Automation | Process Intelligence

Attracting and retaining skilled labor, particularly in regions with low unemployment rates affects the manufacturing and logistics industry. This may require investing in training and development programs and offering competitive benefits to attract and retain top talent. Labor shortage impacts manufacturing and warehouse operations building a ripple effect on various sectors. The labor shortage happens in manufacturing companies due to a lack of stability, lower wages, lack of diversity, retiring employees, etc. Once the company realizes the barriers to labor shortage, it can overcome this challenge with the new technologies.

Sustainability

The manufacturing and logistics industry has a significant environmental impact, and there is increasing pressure on companies to reduce their carbon footprint and adopt more sustainable practices. Extensive financial and environmental benefits accelerate manufacturing companies. Minimizing the negative impacts that manufacturing companies have on the environment becomes challenging with certain raw materials. However, overcoming the environmental effects caused by manufacturing from production to delivery creates sustainability for the industry. Meeting these sustainability goals will be a key challenge for the industry.

 Digital Transformation | Robotic Process Automation | Process Intelligence
Consumer Demand

The manufacturing and logistics industry is driven by consumer demand and predicting and responding to changes in consumer preferences will be a key challenge. This may involve investing in market research and data analytics to better understand customer needs and preferences. The customer-to-manufacturer phase gets affected by the constant change in consumer demands. Certain factors affect the manufacturing companies related to consumers such as sudden rise in consumer demand, implementation of new technologies, etc. Manufacturers can overcome these challenges when they find the reason for the transforming consumer demand.

 Digital Transformation | Robotic Process Automation | Process Intelligence

OUR SOLUTION

Our customized solutions with Hyperautomation and Process Intelligence boost the manufacturing and logistics industry by eliminating process bottlenecks and enhancing the supply chain process. Automation and PI aid in the digital transformation journey to succeed with improved operational efficiency, optimized processes, and cost reduction.

Business Process Intelligence

Process mining is a technique that uses data collected from IT systems to create visual representations of business processes, allowing organizations to analyze and optimize their operations. In the manufacturing and logistics industry, process mining solutions can improve operational efficiency, reduce costs, and enhance the quality and reliability of products and services. It is important to note that while process mining can bring many benefits, it is not a panacea and should be implemented thoughtfully, considering factors such as data privacy and the need for robust cybersecurity measures.

Hyperautomation

Hyperautomation uses advanced technologies, such as artificial intelligence (AI), machine learning, and robotics, to automate business processes and workflows. In the manufacturing and logistics industry, hyperautomation solutions can improve operational efficiency, reduce costs, and enhance the quality and reliability of products and services. There are some specific ways in which hyperautomation may be able to help the manufacturing and logistics industry in 2023. It is important to note that while hyperautomation can bring many benefits, it is not a panacea and should be implemented thoughtfully, considering factors such as the potential impacts on employment and the need for robust cybersecurity measures.