leading digital scm transformation-30-11
TRANSCRIPT
Technology is the biggest thing in
business today
• Do you want to hear the voice of your customers?
Social Media let you
• Do your people available and productive, no mater where
they are?they are?
Mobile computing makes that possible
• Want better forecast and decision in key areas?
Promise of Big Data (Analytic)
• Standard assumption - you have own servers, apps to use
Rise of cloud computing
• Digital master use technology better then their competitors.
• Digital masters are more profitable than their peers.
But what do Digital Masters do
differently?
• Digital masters see technology as a way to change,
size of investment is not important but the impact
How can you become a digital master?
• Digital master excel in two critical dimension:
The what of technology, which we call
digital capabilities
Dimension of Digital Mastery?
The how of leading change, which we call
leadership capabilities
• Each provides a partial advantage
• Taken together, they combine to give Digital Masters
Digital MastersFashionistasD
igit
al C
ap
ab
ilit
y
Four Levels of digital mastery
They buy every new thing
Lack strong digital leadership
Impedes unified view of operation
Exploiting digital advantage
Outstrip competitors in performance
Strong in both dimensions
Beginners Conservatives
Dig
ita
l C
ap
ab
ilit
y
Leadership Capability
Wait-and-see-strategy
Opportunity right for other
Regulations or privacy as excuse
Excess prudence prevents
Have digital leadership capability
Find it hard to mobilize management
DIGITAL MASTERS
FASHIONISTASAverage digital
Mastery
Travel and hospitality
Telecom
High Technology
Retail
Banking
Digital mastery by industry
Can you afford to wait?
BEGNNIERS CONSERVATIVES
Pharmaceuticals Consumer
Packaged
goods
Manufacturing
Insurance
Utility
Building Digital Capabilities
You can differentiate your company through
three broad categories of Digital Capability:
1. Customer experience1. Customer experience
2. Operational process and
3. Business models
Why is blockchain relevant for supply chain?
Enhances visibility in supply chain- All are connected on a platform
Transparency in Blockchain helps reduce delays As each product can be tracked in real-time, the chances of misplacements are rare
Transparency and immutabilityEliminates frauds in supply chain
Minimizes costImproves inventory management, reduces delays from
paperwork, identifies issues faster
As per a 2018 study, 59 percent
of the fish sold as “tuna” in
major U.S. cities was not
actually “tuna”
Illegal, unregulated, unreported
fishing and use of slave labor in
The problem in the sea food industry
fishing and use of slave labor in
sea food industry
Transshipment - suspicious
transactions in international
waters
A tuna transshipment in the Indian Ocean
Source: The New Food
Economy
Blockchain driven solution for traceability
Seafood is caught by fishermen and tagged with IOT
enabled sensors (RFID or QR Codes)
Sensors on the seafood transmit information in real time about
location, time, date, etc. to the blockchain
The blockchain company (e.g. Sawtooth, IBM Food Trust,
Provenance etc.) tracks possessions and any change in the
same, and all this again is stored in the ledger
The buyer can access all the information by scanning the
code or RFID or the tags Source: Blockchain Council
Smartphones can be used to scan fish products and access
information on their origins and journey to the supermarket shelf
Walmart is currently running a pilot project using
blockchain technology among the shrimp farmers in
Andhra Pradesh for ensuring traceability from India to US
Source: Business Standard Oct’19
IBM is helping WalMart to track
pork from China through the
supply chain into the stores
HEIJA
Provenance partnered with the
Co-Operation Group to track food
through the supply chain for
authenticity and sustainability
Other Block chain uses in supply chain. ……
HEIJAIBM is partnering with Hejia to
provide a supply chain financing
services for pharmaceutical
procurement
IBM is running a pilot with
Maersk to track freight
shipping on the blockchain.
The pilot includes the
shipper, buyer, customs,
and US Homeland Security
authenticity and sustainability
Provenance partnered
Martine Jarlgaard and
the Fashion Innovation
Agency to track
garments from raw
materials to finished
product
Traceability of coffee beans – where has the coffee on your dining table come from?
• Is the quality consistent?
• ?Ifinca – a blockchain company is connecting coffee
Coffee supply chain - issues
Ifinca – a blockchain company is connecting coffee
farmers to global markets with blockchain technology
Traceability – e.g. coffee from a farm in Colombia can
be traced to coffee being served in a café via mills,
exporters, importers etc.
IoT enabled Supply Chain Management…
ERP System
User Queries
Inventory Data
From The ERP
System
Warehouse
Incoming Inventory
The ERP System
Queries IoT Cloud for
the Inventory data
IoT Cloudgathers warehouse
IoT Cloudgathers In-
Transit inventory
data from all
IoT Cloud
Aggregates
Inventory Data
Net Inventory DataNet Inventory Data is
displayed as a visual
Dashboard
Visual Dashboard
IoT Cloud gathers
inventory data
from goods receiving bay
Key Advantages
• Real time data to ensure actual inventory levels are
measured.
Inter-warehouse
In-Transit Inventory
Warehouse
Warehouse
Outgoing
Inventory
inventory data from
Warehouse
IoT Cloudgathers
dispatched
inventory data
from
Warehouse
data from all
warehouses measured.
• Alerts for mismatch between inventory data in ERP and
actual inventory
• More efficient restocking and avoidance of stock out losses
• Automated Navigation within Warehouse
• End-to-End visibility on inventory
Key Users
Visual Percept
ion Recording when goods are damaged
during transit and
notifying before
Problem Statement:
Transporting goods to and from
warehouses, factories safely and without
damage
Case 1: Using AI sensors to keep goods safe during delivery
AI has the potential to revolutionize
the risks that come with shipping
across large areas of land and sea
during supply chain distribution
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Advanced Image recogniti
on
notifying beforethey arrive
Shipping company A.P. Moller-Maersk has
partnered with Sea Machines Robotics, a
Boston-based company specializing in
autonomous tech to implement Sea Machines
Robotics’ new perceptual and situational
awareness AI technology on board one of
Maersk’s freight ships.
https://www.digitalauthority.me/resources/ai-supply-chain-management/
PlatooningPlatooning is a delivery method in which a
convoy of AI vehicles is led by a manned
vehicle (though it can also be comprised of
completely autonomous vehicles). These
vehicles, often trucks, are connected using
vehicle-to-vehicle communication that
controls the acceleration, breaking and
maneuvering of the vehicles at almost
instantaneous speeds.
Using predictive analysis and
disruption management can
ensure that all vehicles take the
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Case 2: Reduce driver headcount & increases fuel efficiency with platooning
By using convoys of autonomous vehicles,
delivery can easily be optimized, and the
cost of multiple drivers cut dramatically.
ensure that all vehicles take the
most efficient route to destination
Slipstream effect: By staying close to one
another, the area of low-pressure created by the
vehicle in front reduces the amount of fuel
needed by the vehicle behind it
Toyota and Scania begin testing
platooning last year alongside the
Ministry of Transport and the Port
of Singapore Authority.
https://www.digitalauthority.me/resources/ai-supply-chain-management/
Challenges for retailer :
• Optimize localized vs. centralized warehouse storage of goods .
• Substantial local storage is expensive, on the other hand, relying mostly on centralized storage and running the risk of sold out items in the stores is another factor.
• Warehouse optimization is thus of
A Retailer in Norway and has individual stores and Main warehouse as indicated
OBJECTIVE :
To predict the number ofitems to be sold by 10shops during a particularperiod in future. Predictionis done to find out he sales
Case 3 : Demand forecasting using AI for Warehouse Storage optimization
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• Warehouse optimization is thus of great importance, and having access to accurate sales forecasts would be extremely useful information.
is done to find out he salesfrom Oct 2018 to Dec2018
○ Artificial intelligence can be used for Warehouse optimization
using Machine learning for forecasting the sales figures.
○Using this technique on the entire data set , the retailers can plan
the production and logistics so as to meet the sales figure for its
various shops.
○ Source : https://medium.com/m/global-identity?redirectUrl
Data Source for Walmart
275 million weekly
11300 worldwide stores
10 worldwide stores
11300 worldwide
stores
300 Social Media
Mentions every
week
275 million weekly
customers
2.5 Petabyte
customer data
every day
BIG
DATA
Consumer behavior patterns vary in different locations under different weather conditions
Walmart used weather information� to predict consumer behavior???
� to predict sales pattern??? � to determine inventory???
WALMART CASE- PREDICTIVE ANALYTICS-WEATHERING DEMAND
https://youtu.be/PqY0npDpPPI
Anticipate Customer Needs
� Understand product demand � Supply of weather-sensitive items
� Access real-time traffic to understand how it affects deliveries
� Adjust staff to meet low or high customer requirements
� Anticipate potential transportation delays
� Optimize routes based on existing weather and traffic conditions
� Dynamically design a strategy for extreme weather conditions
Optimize Distribution and Logistics
Weather Alerts for Worker Safety Weather Data Packages to
reduce costs, improve safety, and drive revenue
Seasonal and Sub-seasonal Demand Forecasts
https://youtu.be/PqY0npDpPPI