Big Data and Internet of things will result in a sea change in how companies develop their supply chain business processes. This presentation looks at those possible impacts and how to use Sage X3 to harness it for supply chain efficiency.

1. www.pannimanagement.com

2.  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

3.  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.

4.  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

5.  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

6.  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

7.  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

8.  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

9.  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

10. 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

11. 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