Analytics has demonstrably helped transform supply chains in the modern enterprise. Across Procurement, Planning and Operations functions, organizations have benefited from leveraging analytics to optimize business processes and cultivate a data-driven decision making practice. At BRIDGEi2i, we help organizations get the best out of their data assets to address key supply chain challenges.
BRIDGEi2i has frameworks to establish Analytics CoE for Supply Chain functions within organizations. Demand planning solution of BRIDGEi2i aims at using advanced statistical forecasting coupled with real-time decision engines models for demand planning, inventory optimization.
This presentation talks about challenges in typical supply chain processes, benefits of implementing analytics, few use cases, and our app-based development approach for addressing the challenges.
Understand what value can be gained by using simulation-based predictive analytics for supply chain, distribution center, logistics and warehouse design, operations, and improvement
BRIDGEi2i has frameworks to establish Analytics CoE for Supply Chain functions within organizations. Demand planning solution of BRIDGEi2i aims at using advanced statistical forecasting coupled with real-time decision engines models for demand planning, inventory optimization.
This presentation talks about challenges in typical supply chain processes, benefits of implementing analytics, few use cases, and our app-based development approach for addressing the challenges.
Understand what value can be gained by using simulation-based predictive analytics for supply chain, distribution center, logistics and warehouse design, operations, and improvement
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to develop an algorithm that simulates demand signals by associating a buffer inventory need for every SKU and to build a tracking mechanism that ensures optimality.
Supply chain analytics solutions combine technology and human effort to compare and highlight opportunities in supply chain functions. They leverage enterprise applications, web technologies, and data warehouses to locate patterns among transactional, demographic and behavioral data
How to drive real business value from your virtual Supply Chain twin?Bluecrux
This is the full presentation of Anneleen Tronquo (Partner bluecrux) & Valerie Vandenbroucke (Product Manager LightsOutPlanning bluecrux), presented at Logipharma 2019 (Wednesday 10 April, 2019). Learn how a virtual twin can enlighten your Supply Chain, using practical case studies.
Companies now understand that aligning supply chain planning and execution is a competitive necessity. This study details current and future supply chain planning strategies, practices and trends, and is based on the findings of a major study of supply professionals conducted in late summer 2013.
Next Generation Spend Analytics & Data VisualizationJosh Stancil
This presentation shows procurement and strategic sourcing professionals how to use advanced spend analytics to move the needle from being tactical to strategic.
Towards connected planning for Supply Chain Bluecrux
Far too often, Supply Chain management leaders make decisions in a data vacuum. But that doesn’t work in today’s fast-paced market. Rob Van Driel (Solutions Consultant, Anaplan) explained why & how Supply Chain leaders need to make timely, value-based decisions so you can respond quickly to shifts in demand and customer needs. Because: when value is king, margins are optimized, and profit is maximized.
Presented by Rob Van Driel, Solutions Consultant Anaplan on Supply Chain 4.0 : ready to operate in the digital era? (29 Nov, 2018)
Building a Successful Digitalization Roadmap in ProcurementJAGGAER
In the JAGGAER blog, 'What’s Next for Digital Procurement?' (https://go.jaggaer.com/l/472712/2019-11-01/939cfj) we look at what else, aside from having skilled procurement practitioners who are well able to make the case, needs to happen for organizations to step forward.
The next generation user experience should move to customer engagement zones along their preferred channels with desired action to outcome approaches. With scores of information ranging from inventory to inquiry, weather to warehouse alerts, product to promotion info at disposal, enterprise digitization can create value at every customer touch point. Attendees witnessed the manifestation of TCS’ Thought Leadership in the Game of Retail.
Geo-Enablement of the Supply Chain AnalyticsNishant Sinha
Supply chain analytics using GIS and location based services.
These slides were presented to a team of Indian Armed Forces in a short term course on Supply Chain Management at IIFT
Learn about the latest market trends and technology innovations in supply chain from Lora Cecere, CEO and founder, Supply Chain Insights, and glean lessons learned and key takeaways from practitioner Elliott Wolf, director of analytics at Lineage Logistics.
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to develop an algorithm that simulates demand signals by associating a buffer inventory need for every SKU and to build a tracking mechanism that ensures optimality.
Supply chain analytics solutions combine technology and human effort to compare and highlight opportunities in supply chain functions. They leverage enterprise applications, web technologies, and data warehouses to locate patterns among transactional, demographic and behavioral data
How to drive real business value from your virtual Supply Chain twin?Bluecrux
This is the full presentation of Anneleen Tronquo (Partner bluecrux) & Valerie Vandenbroucke (Product Manager LightsOutPlanning bluecrux), presented at Logipharma 2019 (Wednesday 10 April, 2019). Learn how a virtual twin can enlighten your Supply Chain, using practical case studies.
Companies now understand that aligning supply chain planning and execution is a competitive necessity. This study details current and future supply chain planning strategies, practices and trends, and is based on the findings of a major study of supply professionals conducted in late summer 2013.
Next Generation Spend Analytics & Data VisualizationJosh Stancil
This presentation shows procurement and strategic sourcing professionals how to use advanced spend analytics to move the needle from being tactical to strategic.
Towards connected planning for Supply Chain Bluecrux
Far too often, Supply Chain management leaders make decisions in a data vacuum. But that doesn’t work in today’s fast-paced market. Rob Van Driel (Solutions Consultant, Anaplan) explained why & how Supply Chain leaders need to make timely, value-based decisions so you can respond quickly to shifts in demand and customer needs. Because: when value is king, margins are optimized, and profit is maximized.
Presented by Rob Van Driel, Solutions Consultant Anaplan on Supply Chain 4.0 : ready to operate in the digital era? (29 Nov, 2018)
Building a Successful Digitalization Roadmap in ProcurementJAGGAER
In the JAGGAER blog, 'What’s Next for Digital Procurement?' (https://go.jaggaer.com/l/472712/2019-11-01/939cfj) we look at what else, aside from having skilled procurement practitioners who are well able to make the case, needs to happen for organizations to step forward.
The next generation user experience should move to customer engagement zones along their preferred channels with desired action to outcome approaches. With scores of information ranging from inventory to inquiry, weather to warehouse alerts, product to promotion info at disposal, enterprise digitization can create value at every customer touch point. Attendees witnessed the manifestation of TCS’ Thought Leadership in the Game of Retail.
Geo-Enablement of the Supply Chain AnalyticsNishant Sinha
Supply chain analytics using GIS and location based services.
These slides were presented to a team of Indian Armed Forces in a short term course on Supply Chain Management at IIFT
Learn about the latest market trends and technology innovations in supply chain from Lora Cecere, CEO and founder, Supply Chain Insights, and glean lessons learned and key takeaways from practitioner Elliott Wolf, director of analytics at Lineage Logistics.
Putting Together the Pieces: Supply Chain Analytics - 2 SEP 2017Lora Cecere
RESEARCH OVERVIEW:
Report Details: This report is the result of six months of studying the emerging supply chain analytics technology market. This report is based on qualitative research completed in the period of January-July 2016. In this research effort, we interviewed thirty-five technology analytics providers to understand their solutions. This was followed by interviews with thirty innovative supply chain leaders. To support this research and take it one step further, we augment these qualitative insights with quantitative survey analysis collected in preparation for the Supply Chain Insights Global Summit. In this research, we share insights on the importance of supply chain analytics in Supply Chain 2030 strategies. Here we share these findings.
Objective: To understand the changing role of supply chain analytics in supply chain strategy.
Highlight: With the changing face of supply chain analytics companies have greater opportunities to drive insights and gain competitive advantage. This report is designed to help companies bridge traditional thinking on supply chain analytics while embracing emerging technologies.
Executive Summary
Supply chains are drowning in data, but are low on insights. While the cost of computing memory was once a barrier to executing an analytics strategy, this is no longer the case. The largest barrier is the understanding of new forms of analytics.
Historically, the term supply chain analytics was used to describe reporting. This is no longer the case. Today there are more options and capabilities for supply chain analytics. There is a proliferation of new technologies flooding the market.
Ironically, despite the explosion of options as shown in Figure 1, the supply chain operating team is more conservative. It is a skewed distribution. When it comes to decision support, the number of late adopters outnumber the early adopters three to one. The lack of early adopters, the rapid rate of change, and the conventional architectural definitions (primarily focused on Enterprise Resource Planning or ERP-based architectures) are barriers to the adoption of new forms of supply chain analytics.
ICT&Logistiek is de beurs voor logistiek en transport. Nobel was prominent aanwezig en gaf diverse presentaties, waaronder Supply Chain Solutions uit de Cloud.
The 2015 Guide to New SAP Solutions That Support End-to-End Logistics and Ord...SAPinsider Events
View this session from Logistics and Supply Chain Management 2015 in Las Vegas. Coming to Europe! www.SCM2015.com
The 2015 Guide to New SAP Solutions That Support
End-to-End Logistics and Order Fulfillment by Markus Rosemann, SAP SE
Attend this session to get a firsthand look at SAP's full portfolio of logistics and order fulfillment solutions and its latest vision for supply chain execution convergence. You will:
- Get an overview of new capabilities delivered in the latest transportation management and warehouse management solutions from SAP
- Grasp how SAP solutions for logistics networks extend the portfolio with comprehensive capabilities for increased visibility
Step through real-world examples of how your counterparts are leveraging functionality from SAP to drive overall business value through logistics excellence.
Digital Supply Chain Transformation in the Networked EconomySAP Ariba
Learn how companies are seeking to transform their supply chains in the new digital networked economy. This session will include a discussion about the major pillars for transformation that can act as a concrete framework for initiatives to realize new digital opportunities and business value. You will be introduced to SAP’s extended supply chain portfolio and learn how this can be used for collaborative business planning across the network to integrate supply chain with sourcing and purchasing, and to orchestrate internal and external operations across short-, medium- and long-term time horizons. SAP customer use cases and examples from various industries will be used.
Understand the value of simulation based predictive analytics for distribution center, supply chain, logistics, or warehouse design, operations and performance improvement
#IBMInsight session presentation "Orchestrating a Customer-Activated Supply Chain"
Assembling the pieces of a customer-activated supply chain involves activities on three dimensions: Sharpen visibility and insight, Partner for innovation, Become customer-activated
IBM supply chain analytics solutions to leverage Big Data
More at ibm.biz/BdEPRX
Demand Planning Leadership Exchange: Demand Sensing - Are You Ready? Plan4Demand
866-P4D-INFO | info@plan4demand.com | www.plan4demand.com
Gary Griffith and Joel Argo combine over 25 years of statistical forecasting experience to discuss the capabilities of Demand Sensing, what it is and what it isn’t, how this near-term forecasting method integrates with your mid to long term forecasts, and tips to shift pragmatically towards a demand-driven culture in your organization.
This session will cover key things to consider when approaching the concept of Demand Sensing in your organization, when and who should use it, and how it fits within different business scenarios.
Key take-a-ways include:
• Understanding of key concepts, capabilities & business benefits
• Overview of Demand Sensing technology considerations & system integration points
• Typical data requirements & modeling techniques
• How this next generation technique may be a fit for your organization
Is your organization ready to reap the benefits of Demand Sensing?
Supply chain analysis has evolved into an art over past several decades. In an attempt to monitor results, and establish goals and metrics, most enterprises have turned to enterprise analysis and supply chain reporting.
Responsive supply chain: sensitive to customer requirementsHarender Singh
A responsive supply chain is one that is designed to be sensitive to customer requirements, market changes, and other external factors that can impact the demand for a product or service. This type of supply chain is designed to quickly adapt to changes in demand, which allows businesses to better meet the needs of their customers and stay competitive in their industry.
To create a responsive supply chain, businesses need to implement several key strategies. These include:
Building strong relationships with suppliers: A responsive supply chain relies on a network of reliable suppliers that can quickly adapt to changes in demand. Businesses need to build strong relationships with these suppliers to ensure that they can quickly deliver the materials and products needed to meet customer demand.
Using real-time data and analytics: To be responsive, businesses need to have real-time data on customer demand, inventory levels, and other key factors that impact the supply chain. Using analytics tools can help businesses identify patterns and trends that can inform decisions about inventory management, production planning, and other key areas.
Emphasizing flexibility and agility: A responsive supply chain needs to be flexible and agile to quickly adapt to changes in demand. This means having the ability to ramp up production when demand is high and scale back when demand is low.
Leveraging technology: Technology can play a key role in creating a responsive supply chain. For example, using automation and robotics can help businesses streamline production and reduce lead times, while cloud-based platforms can provide real-time visibility into the supply chain.
Overall, a responsive supply chain is critical for businesses that want to stay competitive in today's fast-paced and ever-changing marketplace. By implementing the right strategies and leveraging technology, businesses can create a supply chain that is sensitive to customer requirements and able to quickly adapt to changes in demand.
There has been a significant shift in how we approach supply chain demand forecasting: we transitioned from a focus on supply—what and how much to deliver or replenish—to a demand-driven supply chain visibility solutions, which put too much emphasis on the intermediate objective of precise demand forecasting in supply chain management. Worse, previous demand forecasting technologies could not handle high variable demand.
With a group legacy of over two decades, Ma Foi Analytics blends the best of data science, big data technology and a rare and diverse talent pool to help organisations of all stripes achieve the outcomes they seek.
Leading companies are exploiting their supply chains to outperform competitors. Collinson Grant assesses the value they create and makes recommendations for improvement. This presentation gives an outline of our approach to redefining processes and structures to eliminate costs, harmonising systems and technologies to exploit synergies, and generating transformational change.
Aspiring Entrepreneurs Transform your Business in 2 Steps - STEP 2 Creating a...Indresh Saluja
We have transformed 6 businesses so far in last 4 years of our existence. Many fold increase in top line, double digit growth on profitability, increase in market share, huge improvement in efficiency across processes, and strengthening of people capabilities. Organisations were transformed from being opportunity driven to strategy focused. Sharing with an example the first 2 most critical steps we recommend to every entrepreneur as starting point for business transformation.
Similar to Supply Chain Analytics for the modern enterprise (20)
In this case study learn how BRIDGEi2i helped the world's largest Contract Manufacturer to quantify the impact of demand signal variation on capacity utilization and to build a predictive algorithm to counter demand & supply uncertainties and provision linear Capacity Utilization.
In this case study learn how BRIDGEi2i helped a Fortune 500 Technology company to develop a mobile-enabled dashboard to identify root cause to Throughput, Utilization and Yield metrics and delivered Real-time reporting using the Line Operations system
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to leverage a Teradata environment to pull Bookings, Builds and Shipment information onto 1 platform and to correlate supply chain health with KPIs, Inventory and Backlog – REAL-TIME.
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to develop an algorithm that identifies patterns in Direct Customer bookings
and to develop a unique forecasting model for just Direct customers.
In this case study learn how BRIDGEi2i helped the Software Division of a Fortune 100 Technology company to develop an algorithm to forecast revenue from SW at a product level and to understand revenue forecasts from licensing and delivery dimensions.
In this case study learn how BRIDGEi2i helped a Fortune 500 Consumer, Technology company to understand patterns in New Product Introduction and how data can be leveraged for the same
In this case study learn how BRIDGEi2i helped a Fortune 100 Technology company to understand patterns in New Product Introductions and use this understanding for better insights into planning demand for NPIs
Digital has evolved into a major channel for organizations. From online selling to educational resources or engaging with customers, a online presence has become indispensable for organizations to compete in today's world.
BRIDGEi2i, with its Web Analytics Solution helps you manage your entire online presence across the entire analytics lifecycle.
From descriptive reporting of incoming traffic and your website quality to insights into visitor profiling and predicting visitor intent, BRIDGEi2i will partner with you to engage your visitors better.
Website path analyses, recommendation systems will help you sell and engage your customers and prospects in a personalized manner.
The Client is one of the world’s largest golf entertainment companies with assets in 11 cities across US and UK. As an initiative to improve their brand presence and perception, The Client is interested in (a) understanding the reach of its social media promotion activities and (b) innovative methods to identify & manage consumer sentiments as soon as a negative event has been triggered.
An overwhelming choice of applications, websites and digital platforms leaves our customers with multiple interaction channels and devices to connect with organizations. In a digitally connected economy, businesses need to represent a “single view” of the brand to the customer. The key here is to integrate customer information from multiple touch points and get a 360 degree view of the customer
This presentation talks about BRIDGEi2i’s Customer Experience Tracking Platform – ExTrack and how it could help businesses with near-real-time actionable recommendations for improving customer experience.
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This Flyer gives an overview about the key features of BRIDGEi2i’s Employee Analytics Management Solution - EmPOWER
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes in detail about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement with snapshots of key deliverables
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation provides a sneak peak in to the key deliverables of BRIDGEi2i’s Employee Engagement Analytics Solution - EmPOWER
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement
Market Intelligence has been a central part to a company's strategy since a long time. However, it hasn't evolved fast enough to support today's dynamic environment.
BRIDGEi2i with its Contextual Market Intelligence solutions, provides actionable insights into your target market by marrying domain knowledge, technological expertize and enablement and Analytics capabilities.
The consumer has been the king for quite a while now. Why then are organizations struggling to engage the consumer, personalize its offering and maximize the value that they can realize.
BRIDGEi2i presents a comprehensive, end to end Consumer Analytics solution that helps you know your consumer better, predict purchasing decisions and personalize recommendations
The term "gamification" was coined in 2002 by Nick Pelling, a British-born computer programmer and inventor. As defined by Gartner “Gamification is the use of game design and game mechanics to engage a target audience to change behaviors, learn new skills or engage in innovation.” The target audience may be customers, employees or the general public, but first and foremost, they are people with needs and desires who will respond to stimuli.
This whitepaper highlights the application of gamification in various organizational areas.
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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.
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.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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/
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. UNCERTAINTIES COMPLEXITIES
Demand
Short product lives and
dynamic consumer behavior
Supply
Constant capacity pressure and
long lead times
Cost
Lower-level material is getting
more speculative
Multi-Nodal Supply Chains
Large # of nodes in the SC for
custom components
Geographical Location
High geographical dependence
and complex networks
SKU Portfolio
Large SKU portfolio to address
demand
The modern supply chain is riddled with complexities and
uncertainties …
… Predictive analytics can help Supply Chains be more
efficient in dealing with these complexities & uncertainties
The Supply Chain Challenge
3. … Analytics helps identify
patterns in data
3
Organizations are capturing a lot
of data
How Predictive Analytics Works..
Market
Data
Macro-
Economic
Data
CRM
Data
(Installed
Base)
Internal
Sales Data
…and data alone cannot
provide the answers
… Which helps managers make
proactive decisions
Data Augmentation
Predictions &
Projections
Trends and patterns
Simulation &
Visualization
Decisions with long-term
consequences
For e.g. supplier selection
Decisions that help take advantage
of the business environment
For e.g. Executing forward-buys
Decisions that must be made every
day to “keep the plane flying”
For e.g. factory build planning
Strategic
Tactical
Operational
4. …BRIDGEi2i’s solution for Supply Chain Leadership…
Sustain
Center of Excellence with a
combination of process, people
and technology to operationalize
data driven decisions and drive
sustainable business value
Simplify
White Box Approach to simplify the
process of generating and
communicating insights
Solve
Proprietary Frameworks & Algorithms
to understand business problems and
develop optimal solutions
The Center for Supply Chain Excellence
Our Framework
5. 5
COMMODITY
INTELLIGENCE
DEMAND PLANNING QUALITY ANALYTICS
FRIEGHT SPEND
REDUCTION
INVENTORY
OPTIMIZATION
EXCESS & OBSOLETE
CONTROL
S O U R C I N G &
P R O C U R E M E N T C o E
S U P P LY & D E M A N D
P L A N N I N G C o E
M A N U FA C T U R I N G
O P E R AT I O N S C o E
Understand your commodity landscape and
stay in-the-know of factors that affect prices
Develop better statistical demand forecasting
models to match market dynamics
Improve utilization/ yield and reduce failures
by employing a predictive control process
Analytical control of Freight and other non-
material spend
Continuous tracking & optimization of
inventory to improve SC agility
Control Excess & obsolete costs by bringing
predictability into end-of-sale demand
BRIDGEi2i has frameworks to establish The Center for Supply Chain Excellence
within Client Functions
INDIRECT PROCUREMENT
PLAN vs. ACTUAL
TRACKING DASHBOARDS ORDER FULFILLMENT
Identify opportunities to reduce indirect
spend through supply base optimization
Track revenue, bookings and builds along
with backlogs and inventory – Real-time
Build an “analytical control tower” that alerts
delayed orders & bottlenecks before time
6. Case Study : We worked on Demand Planning for
A global Fortune 100 Technology Company for a period of 2+ years
Improve Demand
Forecast accuracy
• Develop a process for
demand forecasting in
Demantra
• Improve accuracy by
10%
Developed a Plan
Tracking dashboard in
SAP BO – tracking
revenue, bookings and
builds real-time
Leverage SFDC
pipeline data to
develop a new
stream of forecast
for demand
Outlier detection
methods
developed in SAS
betterment of main
forecast stream
Direct Bookings
Demand Forecasting
Improve Lead-time
attainment for the SC org
• By 10%
• Improve availability in
certain channels by 30%
Solve Simplify Sustain
Predictive Analytics to
recommend the most
trustworthy stream of
forecasts to the
Demand Planner
New Product Introduction
(NPI) forecasting methods
developed in SAS for growing
products
Inventory Flexibility Models
developed for better supply
planning
The Client Goal
The CSCE Journey
The Impact
Year 1 Year 2
Automated in SAS – published to Demantra monthly – fully operational
Simple Excel tools for Demand Planners. All visualization automated in Tableau
1
2
4
3
5
6
7
7. BRIDGEi2i aligns with client goals… hence
making outcomes measurable 7
Identify Objectives – Frameworks to understand
business challenges and identify develop business
priorities
Identify Stakeholders – Identify Stakeholders who
may be affected by or have an effect on an effort.
Bring in Alignment – Create consensus among the
stakeholder
Create Roadmap – Create an engagement plan
based on the business priorities
Understand & Align to Client
Priorities
The Center for Supply Chain
Excellence (CSCE)
Configuration
Governance Mechanism
Flexible resourcing - BRIDGEi2i ‘s extended
team to drive effective outcomes
The CSCE Steering Committee: Structured review
mechanism with Champion, Key Stakeholders and
BRIDGEi2i Leadership to align on key priorities &
review overall progress
Project Leadership– BRIDGEi2i Engagement Lead to
work with key project leads to - Define projects,
align with stakeholders, communicate and manage
deliverables and provide visibility to outcome
Identify Objectives
Identify Stakeholders
Bring Alignment
Create roadmap
Understand Client
Priority
Partner BRIDGEi2i
Client
Key Stakeholders
Center for Supply Chain Excellence
BRIDGEi2i Engagement Manager
Leverage BRIDGEi2i broader team
Algorithms TechnologyFrameworks
Project Project
OperationOperation
Strategic Strategic
Plan, reviews, metrics
Oversight, Mitigation
Strategy, relationship, ROI
End-to-End user training and Process
How we do it..
Editor's Notes
Please don’t do changes to this slide. Under construction