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.

1. © 2015 BRIDGEi2i Analytics Solutions Pvt. Ltd. All rights reserved
Center for Supply Chain Excellence
in the modern enterprise
Arun Krishnamoorthy
Director – Supply Chain and Pricing Practice
Arun.K@bridgei2i.com

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
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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..