Embed Size (px)
Citation preview
www.pannimanagement.com
We are on the verge of a major sea change in supply chain management
This revolution is a result of the availability of huge amounts of real-time data
This data is routinely generated through interconnectivity on the internet between business partners through the interconnected world of enterprise software systems and smart products
Firms which can use big data to redesign their supply-chain processes to reduce costs will be winners in the future competitive landscape
Big data can combine unstructured information coming from disparate data systems and analyzing data trends in real-time, extracting relevant information and helping management to make real time decisions
Optimization algorithms and advance machine learning can be used to look for and exploit observed patterns and correlations among data elements and make supply chain decisions.
For example data coming from customer reviews on a particular product can be used to optimize inventory position. Big data can understand the semantics behind customer reviews and automatically adjust future Purchase Orders based on contract terms
Traditionally the above example will require people from sales to analyze reviews, demand planner to look at inventory positions, inventory control to provide latest inventory positions and funnel the information to management to take a decision. Imagine if this process can be automated for thousands of products carried by a firm
This now becomes a Single step process instead of multiple like traditional supply chain management, and hence significantly reducing costs
This single-step process looks for the best relationship among all of the data and then makes a decision
These algorithms can be implemented and evaluated for performance robustness based on historical data at any firm
Big data needs real time information's from multiple sources to make effective decisions
Data is generated from scanners, CRM, sales system, web based data such as product reviews on various sites, ERP tools and smart products
All of the above systems can be connected via internet of things platform and generate a huge amount of quality data for decision making Big Data systems
Big data needs real time information's from multiple sources to make effective decisions
Platforms such as Microsoft Azure can be used to collect data from multiple areas of business and integrate it with ERP systems such as SAGE X3
Automated Scanners can be capture exact inventory movements and positions within the warehouse
Sensors and devices on the machinery will transmit status of products being manufactured and vital machine health statistics
Web sales systems will capture sales, customer buying behaviour and unstructured data such as comments
All of the above data can be captured using the Microsoft Azure platform
Web services technology in SAGE X3 can be used to capture in run-time data coming in from the IoTplatform
Mongo Db, one of the databases, which SAGE X3 uses can be used to hold and analyze unstructured data such as customer reviews from websites
Big data can then be used to interpret data from X3, front end e-commerce systems etc. to automate the decision making process
Imagine the possibility of reducing costs and making the organization respond automatically to changing customer needs
Successful adoption of this change requires It will require strong involvement and buy in
of all functions in a firm Strong level of integration both up and
downstream in the supply chain A shift in the mindset of the decision
making processChange is coming and those that who embrace this change will gain a strong competitive advantage
For more information about the company visit us at:
www.pannimanagement.com
https://www.linkedin.com/company/panni-management-&-technology-corporation
Email Contact:
