36% of manufacturing enterprises realize — above - average business value from IT spending in digitalization at a reasonable cost compared with peers.” Gartner

This prominent industry in the market constantly fluctuates in growth due to consumers’ expectations. Consumer anticipation and satisfaction are two extreme poles that the industry tries to cope with. On the other hand, companies try to improve the areas of their operations like supply chain, data management, etc. Making a strategic move with digital transformation is significant; automation and process intelligence comes in handy to augment this transformation.


Environmental Impact and Changing Consumer Preferences
 Digital Transformation | Robotic Process Automation | Process Intelligence

Consumers are Becoming Increasingly concerned about the environmental impact of the products they purchase. CPG companies may face pressure to reduce their carbon footprint and use more sustainable packaging materials. As consumers become increasingly concerned about the environmental impact of the products they purchase. Consumers are becoming more health-conscious and seeking products that align with their values and lifestyles. CPG companies may need to adapt their products or branding to meet their target market's changing needs and desires.

E-commerce and Digital Transformation

The rise of e-commerce has disrupted traditional retail channels. CPG companies may need to adapt their sales and distribution strategies to meet the growing demand to reach consumers online. Order entry, order handling, and fulfilling processes involve errors when manually executed. Unstructured order management, repetitive non-value-added activities, a low degree of automation, and less visibility of the processes are a few challenges faced by CPG industries. The challenges lead to a reduction in overall revenue. Automation is implemented for order entry to reduce manual work, eliminate inefficiencies, and have better delivery rates. Process mining, on the other hand, improves business operations by providing a complete visualization of the process bottlenecks.

 Digital Transformation | Robotic Process Automation | Process Intelligence
 Digital Transformation | Robotic Process Automation | Process Intelligence

The CPG industry is highly competitive, with many companies vying for market share. CPG companies may need to differentiate themselves through innovation, quality, and customer experience to stand out in a crowded market. Contending with unsettling competitors with an omnichannel strategy is a significant challenge for organizations. Unproductive content approach, analytics, marketing strategy, unmet customer experience, and improper data utilization are significant challenges in the omnichannel strategy, specifically to CPG. Process Mining provides end-to-end transparency in supply chain processes and Enhances customer experience by meeting product fulfillment and brand management. This improves employee engagement by increasing communication with organizations.

Supply Chain Disruptions

The CPG industry relies on a global supply chain, and disruptions can impact the availability and cost of raw materials and finished goods. Companies may need to address these challenges through contingency planning and risk management. Change in customer expectations impacts the supply chain process, which can be solved through digitization. According to Gartner,91% of supply chain leaders with intelligent manufacturing solutions focus on digitizing their manufacturing operations. With RPA, the supply chain can achieve decreased cycle time and improved agility and customer experience. Food and beverage industries or organizations can achieve 20-40% betterment in data collation in supply chain management.

 Digital Transformation | Robotic Process Automation | Process Intelligence
Data Management

Data Orchestration and Data quality issues are significant daily challenges for Master Data Management, Data Governance, and Data Commercialization. Chief Data Officers face issues such as locating data and streamlining the data integration process among various silos, resulting in improved data management. Using process modeling to remodel the master data management process would enhance the process’s transformation in data management operations. Process mining identifies the bottlenecks and enhances the data operations using intelligent document processing.

 Digital Transformation | Robotic Process Automation | Process Intelligence


We offer customized solutions with Process Mining and Hyper automation to boost the operational excellence of the CPG industry. With our solutions, streamline the processes and identify the process bottlenecks to boost business productivity, customer experience, and operational efficiency.

Process mining

Process Mining is a technique that uses data from business systems to discover, monitor, and optimize business processes. In the consumer-packaged goods (CPG) industry, process mining solutions can be used to improve efficiency, reduce costs, and identify opportunities for process improvement. There are some specific examples of how process mining solutions can be used in the CPG industry, and a few are mentioned below. Overall, process mining solutions can help CPG companies better understand and optimize their business processes, improving efficiency and cost savings.


Hyperautomation uses advanced technologies, such as artificial intelligence (AI) and robotic process automation (RPA), to automate business processes as much as possible. In the consumer-packaged goods (CPG) industry, hyperautomation solutions can be used to improve efficiency and reduce costs by automating tasks and processes that are repetitive or time-consuming. Overall, hyperautomation solutions can help CPG companies streamline their operations and improve efficiency, freeing staff to focus on more strategic and value-added tasks.



We’ve worked with the 2nd Largest CPG client to provide a strategic global transformation through Process Modeling using the SAP Signavio tool. Challenges in Data Migration and Remediation due to more manual processes and non-standard data were resolved by modeling the master data management. We migrated and standardized the existing processes, and discovered and modeled processes for various streams involving OTP, PTP, HTR, etc.


$34M Operational Savings
45% Silos Roles Unified
30% Cost Savings
3x Faster New Hire Training



 Digital Transformation | Robotic Process Automation | Process Intelligence

Non-Compliance Remediation is a turn-key solution targeted to Supply Chain industries focused on Master Data Management (MDM) processes. Our solutions empower Process leaders, Process Owners, and Subject Matter Experts to Visualize, Compare Processes, Derive Insights, and take corrective actions in real-time.

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