The volumes of unstructured and structured data has been ever growing making it a huge challenge for enterprises to cope with. In recent times this has led to a massive surge in supply chain data. The whole idea behind optimization of supply chain management is to allow businesses to become more streamlined thus allowing them to deliver goods and services to customers in a quicker and more efficient manner. Reach us at: services@suyati.com

1. OPTIMIZATION OF
SUPPLY CHAIN MANAGEMENT
WITH BIG DATA
WHY OPTIMIZE
SUPPLY CHAIN MANAGEMENT
DIMENSIONS OF
SUPPLY CHAIN IMPROVEMENTS
Optimization of supply chain management allows
businesses to get goods and services to customers
quickly and efficiently. This in turn improves the
bottom line by:
The improvements in supply chain manifest in the
following ways:
1. Increasing repeat purchases
2. Deepening consumer brand loyalty
3. Deriving more value by purchases and
referrals from satisfied customers
over the lifetime.
1. Accelerating the supply chain
2. Efficient order fulfillment
3. Optimizing supply side
4. Deploying customization strategies.
EFFICIENT ORDER FULFILLMENT
Implementing advanced analytics and Big Data solutions help retail
supply chain organizations by facilitating improved Demand Planning:
GOODSERVICES
FASTDELIVERY
Big data accelerates the supply chain by
• Enabling the organization to react
to supply chain issues quickly
• Increasing supply chain efficiency
of 10% or more
• Facilitating greater integration
across the supply chain
ACCELERATING
THE SUPPLY CHAIN
The application of Big Data
in supply chain
management facilitates
the following types of
customization
ADAPTIVE
CUSTOMIZATION
COLLABORATIVE
CUSTOMIZATION
Building large volume of common
components, and allowing customers
to “build” their product by picking
and choosing their desired
components.
Providing users with products that
consumers can then customize
themselves, according to their
changing needs and desires.
REFERENCES
http://www.entrepreneurial-insights.com/how-to-optimize-supply-chain-management-big-data/
http://www.forbes.com/sites/louiscolumbus/2015/07/11/high-performing-sales-teams-4x-more-likely-to-use-predictive-analytics/
https://secure2.sfdcstatic.com/assets/pdf/misc/state-of-sales-report-salesforce.pdf
http://www.wipro.com/blogs/optimizing-supply-chain-with-big-data/
http://www.forbes.com/sites/louiscolumbus/2015/07/13/ten-ways-big-data-is-revolutionizing-supply-chain-management/
http://www2.deloitte.com/content/dam/Deloitte/global/Documents/Process-and-Operations/gx-operations-supply-chain-talent-of-the-
future-042815.pdf
https://www.bcgperspectives.com/content/articles/technology_making_big_data_work_supply_chain_management/
http://risnews.edgl.com/retail-news/Top-7-Tips-for-Utilizing-Big-Data-to-Optimize-Supply-Chains86163
http://talkinglogistics.com/2014/09/18/use-big-data-improve-supply-chain-visibility/
http://www.entrepreneurial-insights.com/how-to-optimize-supply-chain-management-big-data/
CUSTOMIZATION
OPTIMIZING THE
SUPPLY SIDE
Big Data helps firms optimize the
supplier side of the supply chain
management by enabling
companies to develop
complex mathematical models that
forecast margins if
different mixes of suppliers are
chosen.
• Integrating vast quantities of fast-moving data from customers, suppliers,
and sensors, and combining it with contextual factors such as weather
forecasts, competitive behavior, pricing positions, and other external factors.
• Increasing supply quality by implementing early warning systems.
COSMETIC
CUSTOMIZATION
Reducing cost of production by
economies of scale where additional
costs to customize becomes
negligible.
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