1) AI and automation technologies like RPA, machine learning, and computer vision can address uncertainties and inefficiencies in supply chains by optimizing tasks like demand forecasting, procurement, inventory management, and predictive maintenance.
2) Increased transparency through real-time tracking and monitoring enabled by technologies improves visibility across supply chains and drives efficiency.
3) Machine learning and behavioral analytics can make logistics operations safer by monitoring driver behavior and predicting accidents through advanced driver assistance systems.
Digital Supply Chain: the start of a new eraBluecrux
95% of Supply Chain leaders struggle with how to drive improvement in their Supply Chain and only 5% are making progress.
In this presentation, you'll get a market overview of emerging technologies and approaches you can apply to drive value. Are you ready to become part of that 5%?
Presented by Lora Cecere, Founder Supply Chain Insights on Supply Chain 4.0 : ready to operate in the digital era? (29 Nov, 2018)
Artificial intelligence transforming the phase of supply chain managementRahul R
Professionals associated with logistics and supply chain are always on their heels to shape the operational chain innovatively that address the challenges more efficiently and minimizes the risk that caused otherwise.
When the professionals hunt for new possibilities, technology is always there for help! Although the concept of Artificial Intelligence is six decades old, it is well on its course to take over the lives of people slowly by making it easy and efficient.
Just a few years back, artificial intelligence meant adaptions like Jarvis. Who would have thought that AI would soon become an application of our daily lives?
Artificial intelligence has the potential to streamline several business processes, analyze data for insights, and help in building fruitful business strategies. Hence, globally, it is being used to remediate old processes, invent new methods, and improve productivity.
Information sharing is a major challenge in SCM due to the geographical spread of partners and monumental paper work involved across countries and regions. Digitisation impacts the flow of goods, funds and information. It is at the threshold of introducing the Smart Factory where all flows are automated. How relevant are these technologies for India? What can be the Smart Approach for India in sequencing the adoption of these technologies? We present a suggested approach here.
Digital Supply Chain: the start of a new eraBluecrux
95% of Supply Chain leaders struggle with how to drive improvement in their Supply Chain and only 5% are making progress.
In this presentation, you'll get a market overview of emerging technologies and approaches you can apply to drive value. Are you ready to become part of that 5%?
Presented by Lora Cecere, Founder Supply Chain Insights on Supply Chain 4.0 : ready to operate in the digital era? (29 Nov, 2018)
Artificial intelligence transforming the phase of supply chain managementRahul R
Professionals associated with logistics and supply chain are always on their heels to shape the operational chain innovatively that address the challenges more efficiently and minimizes the risk that caused otherwise.
When the professionals hunt for new possibilities, technology is always there for help! Although the concept of Artificial Intelligence is six decades old, it is well on its course to take over the lives of people slowly by making it easy and efficient.
Just a few years back, artificial intelligence meant adaptions like Jarvis. Who would have thought that AI would soon become an application of our daily lives?
Artificial intelligence has the potential to streamline several business processes, analyze data for insights, and help in building fruitful business strategies. Hence, globally, it is being used to remediate old processes, invent new methods, and improve productivity.
Information sharing is a major challenge in SCM due to the geographical spread of partners and monumental paper work involved across countries and regions. Digitisation impacts the flow of goods, funds and information. It is at the threshold of introducing the Smart Factory where all flows are automated. How relevant are these technologies for India? What can be the Smart Approach for India in sequencing the adoption of these technologies? We present a suggested approach here.
5 Ways AI will Revolutionize Supply ChainsMoataz Rashad
This talk covers 5 use-cases in supply chain optimization where AI can have a revolutionary effect on maximizing margins. These include optimizing pricing, production efficiency, demand forecasting, and risk mitigation decisioning.
Digital Supply Chain - Insights on Driving the Digital Supply Chain Transform...Lora Cecere
Executive Summary
It started with the internet, and the drum beat continues. Mobile. Social. Cloud. Digital Products. Telematics. The Internet of Things. The list of enablers is endless.
Over the last decade, digital marketing departments quickly took advantage of new technologies to power marketing capabilities. As a result, companies have new products and services; but, over the last decade there has been little change in supply chain processes.
There is a great divide in organizations today. There are digital teams in marketing while there are traditional supply chain processes in operations. Many supply chain leaders are asking how they digitize their supply chain practices. This report is designed to help. Here we share a five-step process to get started, and we provide insights from recent research on how to transform manufacturing processes.
What Is Digital Business?
Digitization transforms businesses. A digital business model uses new forms of technology to create new forms of revenue and business value. It is about the use of combinations of technologies to sense changes in real-time and shape a meaningful output.
Digital business is about much, much more than the redefinition of business processes for B2B and B2C. While e-business strategies are foundational, and necessary, it is about more than e-business. In today’s supply chain, while B2C models are well defined and new supply chain models have embraced and redefined e-commerce delivery, B2B processes lag B2C. Today, only 9% of B2B commerce business flows through business networks. There are no digital B2B officers. Companies have been slow to adopt new forms of B2B.
Digital Transformation is one of the most important business trends of our time. A lot of research has already been done on this topic. Most research has examined Digital Transformation within organisations, or between organisations
and their customers.
But in today’s globalised and outsourced world, an organisation’s success is no longer dependent on its own efforts alone. Today, the success of an organisation depends largely on how effectively it can orchestrate a vast, global network of supply chain partners to deliver goods and services that meet the needs of individual consumers.
This presentation [which was presented today to mark European Supply Chain Day in Ireland] highlights how the utilisation of digital technologies and processes enable supply chains to be more effectively and efficiently managed, creating business networks and increasing the overall supply chain visibility within the network.
Digital Supply Chain Management - Supply Chain 4.0 - Supply Chain Management ...Danar Mustafa
Digital Supply Chain Management - Supply Chain 4.0 - Supply Chain Management in Industry 4.0
How to increase operational efficiency leveraging digital technologies in Supply Chain Management
https://digitalstrategy-ai.com/
The Impact of Artificial Intelligence and Digital Disruption on the Supply ChainJason Prescott
Global industry veteran Jeff Streader discusses a critical component for success in today’s digital world and how this effects the modern supply chain. He shares his view on successful strategies and tactics that brands and retailers along with their supplier/ partners, need to understand and collaborate together. Jeff emphasizes the magnitude of understanding today’s digital consumer and how the Design Chain and Supply Chain, will work on the near future in a data-driven end-to-end value chain.
Almost everything in your warehouse will eventually be connected to the Internet of Things (IoT), the online network that connects and exchanges data between devices, vehicles, inventory and even buildings. The Internet of Things is already starting the digital transformation of supply chains by improving efficiency, accuracy, and reducing costs. It is anticipated that many more benefits and opportunities will emerge in the future. Every supply chain business, from manufacturing to logistics, should be taking a close look at the Internet of Things now. Early adopters of IoT technologies will be better able to take a giant leap forward in their business and gain a competitive edge from this technology.
Top technology trends in supply chain & logistics industryArindam Bakshi
Technology plays a very important part in determining the success of a supply chain. This e-book is primarily meant to inform you about the present day technologies that are heavily involved in determining the efficiency and productivity of the logistics and supply chain industry.
Presentation on the Future of Supply Chain TechnologiesLora Cecere
Presentation given at the WTG group in Miami and the Eyeon conference in Rotterdam. By 2020, demand error will increase, corporate social responsibility becomes more important, and slow/steaming/larger ships undermine much of the manufacturing productivity gains of the last century. What should companies do? Embrace new forms of analytics, redesign based on the confluence of new technologies, and
build a network of networks.
The revolution in Supply Chain Management is through Digital Technology revolution in Industry 4.0. it brings in Transparency and accountability into the system bringing waste down to minimal. Procurement 4.0, Transportation 4.0, Supply 4.0 or Logistics 4.0, Whatever we may call it is going to change the face of the Industry. Data Analytics is going to make every ones life easy.
What Role Does AI Play in Navigating Automotive Supply Chain Disruptions.pdfJennifer Lopez
"Discover what role does ai play in automotive supply chain by providing real-time insights, predictive analytics to navigate disruptions effectively.
"
5 Ways AI will Revolutionize Supply ChainsMoataz Rashad
This talk covers 5 use-cases in supply chain optimization where AI can have a revolutionary effect on maximizing margins. These include optimizing pricing, production efficiency, demand forecasting, and risk mitigation decisioning.
Digital Supply Chain - Insights on Driving the Digital Supply Chain Transform...Lora Cecere
Executive Summary
It started with the internet, and the drum beat continues. Mobile. Social. Cloud. Digital Products. Telematics. The Internet of Things. The list of enablers is endless.
Over the last decade, digital marketing departments quickly took advantage of new technologies to power marketing capabilities. As a result, companies have new products and services; but, over the last decade there has been little change in supply chain processes.
There is a great divide in organizations today. There are digital teams in marketing while there are traditional supply chain processes in operations. Many supply chain leaders are asking how they digitize their supply chain practices. This report is designed to help. Here we share a five-step process to get started, and we provide insights from recent research on how to transform manufacturing processes.
What Is Digital Business?
Digitization transforms businesses. A digital business model uses new forms of technology to create new forms of revenue and business value. It is about the use of combinations of technologies to sense changes in real-time and shape a meaningful output.
Digital business is about much, much more than the redefinition of business processes for B2B and B2C. While e-business strategies are foundational, and necessary, it is about more than e-business. In today’s supply chain, while B2C models are well defined and new supply chain models have embraced and redefined e-commerce delivery, B2B processes lag B2C. Today, only 9% of B2B commerce business flows through business networks. There are no digital B2B officers. Companies have been slow to adopt new forms of B2B.
Digital Transformation is one of the most important business trends of our time. A lot of research has already been done on this topic. Most research has examined Digital Transformation within organisations, or between organisations
and their customers.
But in today’s globalised and outsourced world, an organisation’s success is no longer dependent on its own efforts alone. Today, the success of an organisation depends largely on how effectively it can orchestrate a vast, global network of supply chain partners to deliver goods and services that meet the needs of individual consumers.
This presentation [which was presented today to mark European Supply Chain Day in Ireland] highlights how the utilisation of digital technologies and processes enable supply chains to be more effectively and efficiently managed, creating business networks and increasing the overall supply chain visibility within the network.
Digital Supply Chain Management - Supply Chain 4.0 - Supply Chain Management ...Danar Mustafa
Digital Supply Chain Management - Supply Chain 4.0 - Supply Chain Management in Industry 4.0
How to increase operational efficiency leveraging digital technologies in Supply Chain Management
https://digitalstrategy-ai.com/
The Impact of Artificial Intelligence and Digital Disruption on the Supply ChainJason Prescott
Global industry veteran Jeff Streader discusses a critical component for success in today’s digital world and how this effects the modern supply chain. He shares his view on successful strategies and tactics that brands and retailers along with their supplier/ partners, need to understand and collaborate together. Jeff emphasizes the magnitude of understanding today’s digital consumer and how the Design Chain and Supply Chain, will work on the near future in a data-driven end-to-end value chain.
Almost everything in your warehouse will eventually be connected to the Internet of Things (IoT), the online network that connects and exchanges data between devices, vehicles, inventory and even buildings. The Internet of Things is already starting the digital transformation of supply chains by improving efficiency, accuracy, and reducing costs. It is anticipated that many more benefits and opportunities will emerge in the future. Every supply chain business, from manufacturing to logistics, should be taking a close look at the Internet of Things now. Early adopters of IoT technologies will be better able to take a giant leap forward in their business and gain a competitive edge from this technology.
Top technology trends in supply chain & logistics industryArindam Bakshi
Technology plays a very important part in determining the success of a supply chain. This e-book is primarily meant to inform you about the present day technologies that are heavily involved in determining the efficiency and productivity of the logistics and supply chain industry.
Presentation on the Future of Supply Chain TechnologiesLora Cecere
Presentation given at the WTG group in Miami and the Eyeon conference in Rotterdam. By 2020, demand error will increase, corporate social responsibility becomes more important, and slow/steaming/larger ships undermine much of the manufacturing productivity gains of the last century. What should companies do? Embrace new forms of analytics, redesign based on the confluence of new technologies, and
build a network of networks.
The revolution in Supply Chain Management is through Digital Technology revolution in Industry 4.0. it brings in Transparency and accountability into the system bringing waste down to minimal. Procurement 4.0, Transportation 4.0, Supply 4.0 or Logistics 4.0, Whatever we may call it is going to change the face of the Industry. Data Analytics is going to make every ones life easy.
What Role Does AI Play in Navigating Automotive Supply Chain Disruptions.pdfJennifer Lopez
"Discover what role does ai play in automotive supply chain by providing real-time insights, predictive analytics to navigate disruptions effectively.
"
Get a Competitive Edge with IBM and Oracle Supply Chain ManagementIBM
According to IBM’s C-suite study, COOs of the most successful organizations are making fundamental business strategy and operating model changes. They are redesigning their operating model to be closer to the point of demand, innovating their ecosystems for speed to market and introducing cloud and digital technologies to enable business agility, real-time insights and process automation. IBM has been working with Oracle to develop unique industry solutions based on Oracle Cloud (SaaS/PaaS) to leapfrog your digital transformation. One of our innovative solutions is the Supply Chain Control Tower for Oracle applications which provides end to end supply chain visibility, enriched data for supply chain insights and informed decision making using artificial intelligence (AI). In the sourcing and procurement area, IBM can help you transform a traditional and linear source-to-pay solution by applying industry best practices, digitizing operations, reducing procurement costs and increasing supplier performance. IBM’s RPA (Robotic Process Automation) solutions for Oracle SCM Cloud can monitor and manage processes to increase supply chain effectiveness and speed while reducing manual intervention.
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
How ERP will acquire additional features and improvements In the near future.pdfJose thomas
Axolon provides ERP software Dubai will become more user-friendly and efficient with intuitive dashboards, customisable widgets, and tailored AI-driven recommendations.
Transforming the logistic industry in India - Addverb TechnologiesAddverb Technologies
Industry 4.0 is fast transforming business models and operations. Digitalization, aided by disruptive new technologies such as IoT, AI, big data & analytics, machine learning, automation and robotics, cloud computing, blockchain, 3D printing, etc. and the explosive growth of smart devices, is leaving no segment of the business untouched. Supply chain management has become even more complex than before and stands to benefit tremendously from going digital.
Build enterprise AI solutions for manufacturing.pdfmahaffeycheryld
Building enterprise AI solutions for manufacturing involves several key steps to optimize operations and drive efficiency. First, collect and integrate data from various sources across the manufacturing value chain, including sensors, IoT devices, and production systems. Next, preprocess and clean the data to ensure quality and consistency. Then, select and deploy appropriate AI models and algorithms, such as predictive maintenance, quality control, and supply chain optimization, tailored to the specific needs and challenges of manufacturing processes. Ensure seamless integration with existing systems and workflows, and continuously monitor and evaluate the performance of AI solutions to refine and optimize them over time. Finally, invest in talent development and skills training to build internal capabilities and expertise in AI and data science, fostering a culture of innovation and continuous improvement within the organization.
https://www.leewayhertz.com/build-enterprise-ai-solutions-for-manufacturing/
IoT in Logistics and Supply Chain- Role, Benefits and Use Cases.Techugo
Discover how the Internet of Things (IoT) is revolutionizing logistics and supply chain management. IoT devices enable real-time monitoring of inventory, transportation, and delivery, increasing efficiency, reducing costs, and improving customer satisfaction. Explore the role, benefits, and use cases of IoT in logistics and supply chain management, and learn how it can help you streamline your operations and stay ahead of the competition.
IoT in logistics and supply chain management by providing real-time visibility and transparency. It allows the tracking of goods, equipment, and vehicles using sensors, RFID, and other technologies. IoT helps optimize operations by automating inventory management, predicting demand, reducing waste, and enhancing efficiency.
leewayhertz.com-AI in logistics and supply chain Use cases applications solut...alexjohnson7307
In the fast-paced world of logistics and supply chain management, efficiency is key. With the advent of Artificial Intelligence (AI), the industry is experiencing a transformative shift. AI in logistics and supply chain is streamlining operations, optimizing routes, and enhancing decision-making processes like never before. Let's delve into how AI is reshaping this critical sector.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
1. Reimagine supply chains with Artificial
Intelligence
Vibhanshu Abhishek
Chief Data and AI Officer, RIVIGO
2. 2
Disruptive Trends redefining Supply Chains through AI
Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
5
4
3
2
1
6
3. 33
Data is the new oil
Revolutions per
minute
IoT Sensors
Battery Speed
Fuel
Value
Air Brake
Pressure
Coolant
Temperature
Engine
Oil Pressure
Location
Ignition
Status
Instrumentation of
Rivigo’s fleet enables us to
gather 65,000 data
points per second
Source: Rivigo analysis
Supply chains generate enormous data which if captured and measured can lead to efficient supply chain design
1
4. 4
Fuel Pilferages Mileage Improvements
IoT Devices
GPS and Fuel Sensor
Intelligent Data Modelling
Over Fuel Data
Real Time
Pilferage Alerts
Fuel efficiency
improvements
20-30%
Fuel sensors help achieve 100% pilferage control and bring upto
30% improvement in fuel efficiency
Pilferage Control100%
Self learning algorithms work on real-time
sensor data
Source: Rivigo analysis
Cost Optimization
Cost reductions2%
Mileage of 32 Ft MXL vehicles (KMPL)
Time
Mileage
Algorithms analyze data to generate
insights :
• Smart Refueling by predicting most optimal
filling location leveraging price differential
across states
• Pilot-level analysis based on 20+ parameters :
• Driving Behavior
• Vehicle specific
• Pilot profile
• Load specific
• Environment
1
5. 5
With fuel data leading to new cost optimization opportunities
Patented fuel algorithms for
detecting fuel pilferage events
Dynamic fueling algorithm for cost
optimization
1
Play Video
6. 6
Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
5
4
3
2
1
6
Disruptive Trends redefining Supply Chains through AI
7. 7
Robotic Process Automation (RPA) can replace 50% of
the activities performed by humans
What is RPA?
The impact of RPA on supply chain & logistics
Estimated worldwide
sales of warehousing &
logistics robots by the
end of 2021
$ 22.4 Bn
Companies will use RPA
by 2019 to automate
support tasks.
Key Insight: Tasks, not
jobs are being automated
72%
Retail & consumer
products suppliers
already engaged in
some form of intelligent
automation
40%
Ø Process of automating business operations
Ø Software or hardware bots mimicking human actions
Ø Performing a sequence of operations without human intervention
Industry Reports
2
8. 8
With plenty of implementation opportunities across supply
chain functions to collect quality data
Cashless payments
& e-documentation
Shipment scheduling
& tracking
Warehouse
management
Transparency of
Billing
Customer relationship
management
High precision
Operations
Accurate
Decision
Making Vendor onboarding &
management
Hassle free
Service
Supplier performance
evaluation
Budgeting & RFP
generation
Seamless end-to-end
visibility of cargo
Auto-Inventory
procurement
ChatBots for query
resolution
2
9. 9
High precision enables error-free operations through RPA based
predictive modeling
Box-level tracking of packages Algorithm-powered placement
Screenshots from Express Cargo App
2
10. 10
Seamless customer experience delivered by end-to-end process
automation (1/2)
Single-click booking Live tracking with notificationsInstant documentation
Live status visibility of all shipments through the
journey
Instant proof-of-deliveryRequest pickups at the click of a button
2
11. 11
Seamless customer experience delivered by end-to-end process
automation (2/2)
Pilot Assistance via Chat bots for resolving tyre burst incidents
2
12. 12
Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
5
4
3
2
1
6
Disruptive Trends redefining Supply Chains through AI
13. 13
Dolor Dolor
65% 50%
Reduction in lost sales due
to product unavailability
Reductions in overall
on-hand inventory
Reduction in
forecasting errors
40%
Savings in warehousing
related costs
DEMAND
FORECASTING
PROCUREMENT
CAPACITY
PLANNING
SMART
WAREHOUSING
ORDER
REPLENISHMENT
ORDER
FULFILLMENT
STRATEGY
Benefits from AI-based decision making
Managing uncertainty in supply chains for smarter decision
making
50%
Source: Mckinsey
3
14. 14
Predictive Maintenance
• Vehicle vitals data like engine temperature, oil
pressure etc. analyzed
• Anomaly detection in last 200km distance travelled
• Identify vehicles with high probability of breakdown
• Predicting future demand for optimizing network
flow and efficiency
• Helps balance the network, enabling maximum
demand to be fulfilled in shortest feasible time
• Identify patterns from demand variability across
days, weeks, months, and years
Demand Predictions
Enabling organizations to build proactive supply chains
82% accuracy in predicting breakdowns
Annual Savings of 2.5 crores
3
15. 15
Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
5
4
3
2
1
6
Disruptive Trends redefining Supply Chains through AI
16. 16
Transparent supply chains improve visibility across stake holders
for better control over productivity and costs
National Freight Index Remote Temperature ManagementClient Portal
Price Location Temperature
• Real-time tracking of 7 million lane and truck
type combinations
• Indices across 150 combinations for deriving
mega-trends
• Customized client portal that offers real-time
visibility and tracking of the vehicle
• Raise pick up requests and reconcile bills, for end-
to-end tracking
• Two-way monitoring system to remotely view
and control the temperature of fleet
• Elimination of dependencies to maintain
temperature integrity
4
17. 17
Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
5
4
3
2
1
6
Disruptive Trends redefining Supply Chains through AI
18. 18
ML and behavioral economics will make logistics safer
Driving Ustaad Computer Vision: Second
pair of eyes
• Real-time visibility of whether driver is
focused while driving
• Advanced Driver Assistance System
(ADAS) that alerts if driving conditions are
unsavory or approaching accident prone
areas
• Driver profile creation by advanced
algorithms
• Personalized pilot training with tip-
cards based on past performance
Zendrive uses sensor data to
understand driving behavior, like when
and how safely they’re driving
Eyesight, and YI Technologies use
cameras that track driver behaviour
in the truck cockpit with edge-
based computer vision
5
19. 19
Data is the new oil.
Robotic Process Automation (RPA) will take over manual tasks.
AI will address uncertainty in supply chains.
Transparency will drive efficiency in supply chains.
ML and behavioral economics will make logistics safer.
Future of Logistics is technology led.
5
4
3
2
1
6
Disruptive Trends redefining Supply Chains through AI
20. 20
Future of Logistics is technology led
Autonomous Trucking
6
Blockchain Drone Delivery
Blockchain enabled supply chains support
transparent, secure and faster operations
Unmanned aerial vehicles (UAVs) used for last
mile delivery
AI guided systems will power full and semi-
autonomous trucks in the future
21. 21
6
With Autonomous trucking to play a crucial role is shaping the
logistics ecosystem
Play Video
Long haul
Short haul
Autonomous trucking
Pitstop 2Pitstop 1
