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 IoT
platform
 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 process
Change 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:
abubakr.asif@pannimanagement.com

Supply chain using big data, IoT and Sage X3

  • 1.
  • 2.
     We areon 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
  • 3.
     Firms whichcan 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.
  • 4.
     For exampledata 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
  • 5.
     This nowbecomes 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
  • 6.
     Big dataneeds 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
  • 7.
     Big dataneeds 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
  • 8.
     Automated Scannerscan 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
  • 9.
     Web servicestechnology in SAGE X3 can be used to capture in run-time data coming in from the IoT platform  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
  • 10.
    Successful adoption ofthis 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 process Change is coming and those that who embrace this change will gain a strong competitive advantage
  • 11.
    For more informationabout the company visit us at:  www.pannimanagement.com  https://www.linkedin.com/company/panni-management- &-technology-corporation Email Contact: abubakr.asif@pannimanagement.com