supply chain innovation - supply chain and logistics

Supply Chain Innovation

B R I S T L E C O N E L A B S

Veera Senthil AthibanVice President, APAC

[email protected]+65 9489 8720

mailto:[email protected]

2We are part of Mahindra group

Founded in 1945 and driven by the core idea of “Rise”- Challenge Conventional Thinking, Innovatively Use our resources and Enable People to rise.

Mahindra Aerospace & defence

Mahindra Aftermarket

Mahindra Automotive

Mahindra Farm equipment

Mahindra Financial services

Mahindra Hospitality

Mahindra IT services

Mahindra Partners

Mahindra Real estate

Mahindra Two wheelers

WE ARE ACROSSTEN SECTORS

100+Countries

20Industries

10Sectors

2,00,000 Employees

$19 B Revenue

3We are the most advanced supply chain consulting company in the world

Founded in 1998 to help businesses maximise the strategic value of their supply chains leveraging enterprise software

2000+Largest Pool of Consultants

Global Presence

300Accelerators & Solutions Industry Specialization

▪ Hi-Tech & Semiconductor

▪ Consumer Products

▪ Chemicals & Pharmaceutical

▪ Automotive Manufacturing

▪ Discrete Process Manufacturing

Part of

$21 Billion

Mahindra GroupUnited States, Switzerland, Germany, India, Malaysia, Singapore, UAE, Sydney

4Sample Clientele

5Bristlecone in South East Asia

© 2017 BRISTLECONE | 6Future of Work – Supply Chain Perspective

Difference between “Planning” And “Execution” will diminish and disappear over time …

No more “Demand Planners” / “Supply Planners” … only “Supply Chain Managers”

Majority of Indonesian companies are not using even data they already have … suffer from poor forecast accuracy

1

2

3

Innovation and analytics

C O N S U M E RP R O C U R E M E N T M A N U F A C T U R I N G I N V E N T O R Y M G T D I S T R I B U T I O N O M N I C H A N N E L

Extended Supply Chain

Analytics

Spend Analytics S&OP Analytics Financial Supply Chain Analytics

© 2017 BRISTLECONE | 8CASE STUDY : Auto Replenishment based on Weight

A U T O R E P L E N I S H M E N T W I T H S A P H C P

• Extending the efforts of our SAP Hackathon winners, we have built a prototype detecting real time change in weight of the product/shelf and triggering auto replenishment.

• Technologies - SAP S4 HANA, HCP, IoE.

• A mobile application which enables auto replenishment when safety stock level is reached leveraging analytics on POS and historical data. The store/ field sales were also enabled to take better informed decisions about the optimum order quantity

3 weeks for Rapid Prototyping

USE CASES

• Inventory• Retail

Deriving Insights from Unstructured Data

T E X T

P R E - P R O C E S S I N G

B U I L D C L A S S I F I C AT I O N A L G O R I T H M S

C O N V E R S I O N T O S T R U C T U R E D D AT A

• Apply Machine Learning techniques to free text data in Purchase Orders to do auto

classification and extraction of insights

• Make in consumable through an app

COPYRIGHT © 2016 BRISTLECONE

THE NEED FOR INNOVATION IN SUPPLY CHAIN

10

C H A L L E N G E S S U P P L Y C H A I N I N N O V A T I O N

› Siloed or project driven view to business problem solving

› Business usually needs to define every problem and create a project business case before it can be leverage the power of analytics

› Missing Business view to Analytics strategy

› High lead times with an IT quagmire of system of record, EDW, Data Marts, BI tools, analytics tools

› High costs & low value of analytics projects

› Provide constructive and relevant insights to business decisions

› Proactively solve point business problems

› Contribute to enhancing top line and optimizing bottom line and ensuring new business models

› High business value

› Reduced time to market with data platforms

› Cost Optimized

By 2018, 75% of technology-oriented Business Intelligence Competency Centers will have evolved into strategy-oriented Analytics Centers of Excellence to focus on information value generation – Gartner, 2016


INNOVATION & VALUE DELIVERY PROCESS

11

P R O B L E M

I D E N T I F I C A T I O N

P R O B L E M

A N A L Y S I S

P R O J E C T

P O R T F O L I O

P R O J E C T

E X E C U T I O N


PROBLEM DEFINITION

12

PROBLEM– Identification

RE

AC

TIV

E

1. Customer team defines pain points

2. Clear problem definition

3. Input & output identified

4. Impact Assessment done

PR

OA

CT

IVE

1. Bristlecone team analyses business and highlights unknown areas

2. Bristlecone team builds definition, inputs & outputs

3. Conduct PoC/Pilot to prove value

4. Full Scale deployment

PROBLEM– Analysis, Interconnect Pain Points & Interdependency

SUPPLY CHAINFUNCTION

SUPPLY CHAIN PLANNING & EXECUTION

SOURCING & PROCUREMENT

Customer SegmentationSupply Network Planning

Customer’s Customer

Field Force Performance

Distribution Planning

Global SourcingCapex Tooling Cost

Commodity Buying Plant Supplier Co-location


PROJECT PORTFOLIO

13

PROBLEM – Selection & Prioritization

C o m p l e x i t y ( C )

Va

lue

(V

)

LOW HIGH

HIG

HL

OW

R1R4

R2R3

Sales Force Analytics

Energy Analytics

Quality Automation

Financial Reporting

Audit

Supply Network Optimization

Market Product Mix

V-C Region DEFINITIONPRIORITY OF

ACTION

R1High Value,

High Complexity

Priority #3 –

High Impact

R2Low Value,

High Complexity

Priority “Back Burner”

R3Low Value,

Low Complexity

Priority #2 –

Low Hanging Fruits

R4High Value,

Low Complexity

Priority #1 –

Easy Wins


EXECUTION ECOSYSTEM

14

Systems

Business Context

Data

INDUSTRY/PROCESS SME BUSINESS STAKEHOLDER IT STAKEHOLDER

TRANSACTIONAL SYSTEM THIRD PARTY SYSTERM ENTERPRISE DATA WAREHOUSE

FINANCE HR INVENTORY SUPPLIER CUSTOMER

CU

ST

OM

ER

EC

OS

YS

TE

MC

OE

TE

AM

COE MANAGEMENTINPUTS

1. Agile Methodology

2. Knowledge Repository

3. Risk Management

4. Innovation

5. Best Practices

CO

E F

UN

CT

ION

S

1. Problem Identification & Prioritization

2. Hypothesis Based Approach

5. Impact Assessment

6. User Enablement

DATA SCIENTIST

DATA ENGINEER

BUSINESS ANALYST

SOLUTION ARCHITECT

D A T A S C I E N T I S T

D A T A E N G I N E E R

B U S I N E S S A N A L Y S T

S O L U T I O N A R C H I T E C T

U X D E S I G N E R

D E V E L O P E R S

E N T E R P R I S E T E A M

S M E s

Core Team Flex Team

On Demand

Augmentation

3. Solution Development & Validation

4. Solution Rollout


KEY ATTRIBUTES

16

Proactive Problem SolvingContinuous

Value EnhancementsTechnology Agnostic Core + Flex

Managed Service Full Spectrum Operationalize DevOps

i. Discover and understand problems proactively

ii. Resolve pain points before Signiant impact on business

i. Building business use cases with customer team

ii. Analytics though leadership (Domain + Technology)

iii. Rapid Prototyping & PoC

iv. Research & Innovation

i. Analytics - Descriptive, Diagnostics, Predictive, Prescriptive, Cognitive & Robotics Process Automation

ii. End to End Supply Chain –Planning, Procurement, Inventory Management, Manufacturing, Distribution & Customer

i. Enterprise Scalable solutions

ii. Standardized & Repeatable

iii. Maintainable

i. Agile Methodology

ii. Maximize Automation

iii. Continuous collaboration & common goals between Dev & Ops

i. CoE supported by larger Bristlecone Ecosystem of skills and technologies

ii. Flex skill resourcing to accommodate new requirements

i. Core team works on long term horizon to ensure knowledge retention, best practices and deep understanding of customer’s business

ii. Flex team to execute project portflio

i. Bristlecone’s Proprietary Data Platform – NEO™

ii. End to End managed analytics ecosystem

Bristlecone Analytics Snapshot


SELECT SUCCESS STORIES

18

PLANNING MANUFACTURING INVENTORY DISTRIBUTIONPROCUREMENT

WORK DONE

VALUE DELIVERED

Analytics on energy consumption and benchmarking of ice cream factories across globe.

Improved Operational Equipment Efficiency across factories

Consumer goods company, headquartered in Europe

Global e-commerce company, headquartered in US

Driver based Demand Forecasting

Average 28% improvement in forecast accuracy of 100K fast moving SKUs

Simulation and Prescription based procurement solution for commodity purchases

Expected outcome – increase in NPAT – 10 BPS

Leading Glass & Ceramic manufacturer for industrial and scientific use

Inventory classification, stock repositioning and distribution center network planning

Expected savings of USD 3 to 5 Million per annum

US based manufacturer & distributor of durable medical equipment

IoA solution to monitor & optimize energy spend of critical manufacturing equipment

5% annual savings on energy bills (Electricity & Diesel) per Foundry Furnace

Indian multinational automobile manufacturer(World’s largest tractor maker)


ANALYTICS COMPETENCY AT A GLANCE

19

DATA & INFORMATION MANAGEMENT

DATA DISCOVERY & VISUAL ANALYTICS

ANALYTICS ON SAP HANA ADVANCED ANALYTICS

1. Enterprise Data Warehousing2. Reporting & Dashboarding3. Business Insights4. Data Marts & Data Lakes5. Master Data Management & Governance6. Data Quality7. Data Integration

1. Business Insights2. Visual Analytics3. Data Discovery4. Self Service BI Enablement

1. SAP BW on HANA2. HANA Side Car3. Custom Analytics Applications on HANA4. Pre built Analytics Applications on

HANA

1. Analytics CoE2. Point Problem Solutions3. Data Science Solutions

BW, Business Objects, MDM, MDG, Data Services

OBIEE, BI Apps, ODI

MDM

• SAP HANA

• SAP BW on HANA

• HANA Cloud Platform

• BusinessObjects Cloud

• HANA Live

• R

• SASPython

• Java

• Data Science & Big Data Ecosystem

© 2017 BRISTLECONE | 20TRACK & TRACE

Automated traceability in parts of assembly

Assembly TraceabilitySupplier Visibility

Location & Inventory Status of Assets at Supplier

Inbound Logistics

Movement & Inventory of Trailers in the Yard

Material Handling

Movement & Inventory of Material in the Factory

ProblemJIT production line delays due to lack of material visibility inside the factory and in its joint supply chain

NeedReal-time location and inventory tracking of raw material and WIP

Solutionwireless solution for location visibility at suppliers and OEM factory to returnable containers & material

ValueAsset Utilization and 100% supplier visibility, identify leads & lags in your SCM

• S4/HANA

• UI5 & HTML5

• OData Services

Technology Landscape

• Ariba Integration

• Redrawing User Interface with UX Expert

• Voice Interaction (Alexa or native)

• Messaging Platforms (FB, Slack, Skype…)

• Bots -> Assistants -> AI

Planned Enhancements

ENTERPRISE CHATBOT FOR SAP PROCUREMENT – UI & TECHNOLOGY SCENARIO © 2017 BRISTLECONE | 26

© 2016 BRISTLECONE 22RPA to IA

Intelligent Automation

Robotic Process Automation

S C O P E

M AT U R I T Y

T Y P I C A L C O S T S

T Y P I C A L T I M E L I N E

Repetitive,

rules-based

Maturing

Lower

Weeks

Knowledge

intensive

Emerging

Higher

Months

Assuming all other factors remain the same,

• 1 ton increase in avg. production increases consumption by requires 460 GJ

• 1 degree increase in avg. temperature increases consumption by 300 MJ

• 1 ton increase in waste (inefficiency) corresponds to 120 MJ more energy

• Analyze sensor data to determine key drivers of energy

consumption & waste

• Recommended strategies to determine energy benchmark

for plants & take corrective action

MACHINE RELATED

PRODUCT RELATED

LOCATION RELATED

PROCESS RELATED

› Age of the

machinery

› Machine

spec/brand

› Product mix

variance

› Weather › Non-

compliance

› Utilization

SUSTAINABILITY ANALYTICS © 2017 BRISTLECONE | 123

Bristlecone CoE Snapshot


SELECT SUCCESS STORIES – CENTER OF EXCELLENCE

Spend Analytics CoE Development CoE Integration CoE Supply Chain Planning CoE

• Supplier Consolidation, Purchase Price Variance, Model Level Cost Analysis, Commodity Price Simulations

• Analytics driven procurement process redesign. Technology coverage - SAP HANA, Qlik Sense & R

• Offshore factory covering - EDI, NetSuite, Integration Testing, Setup of Trading Partners, Map Development, Production Monitoring & Analytics

• Scalable model for 170+ SAP & Non SAP integrated applications catering to requirements of 40+ countries

• Global integration landscape -1300+ interfaces, integrating 40 applications, 480+ warehouse, 450+ factories

• SC Planning CoE focused on increasing SC efficiency by using real time information for planning and collaboration

• Onshore delivery center in KSA and extended support from multiple offshore locations

SOLUTION HIGHLIGHTS SOLUTION HIGHLIGHTS SOLUTION HIGHLIGHTS SOLUTION HIGHLIGHTS

BENEFITS BENEFITS BENEFITS BENEFITS

1. YoY savings of 0.5% to 1% on an annual spend of USD 4.2 Billion

1. 99% SLA Adherence

2. 99% Service Availability

3. 100% customer satisfaction

1. 700+ based interfaces re-engineered to 250 SAP PI Interfaces

2. Highly optimized design with 99.99+ Error Free Transmissions

3. Global 24*7 support with no unplanned downtime

1. Demand accuracy increased to 89% from 62%

2. 89% reduction in unplanned stock generation in certain product category (flat metal products)

© 2017 BRISTLECONE | 27Contact details

Veera Senthil AthibanVice President, APAC

[email protected]+65 9489 8720

mailto:[email protected]

Thank You!

U N I T E D S T A T E S . C A N A D A . U N I T E D K I N G D O M . G E R M A N Y . S W I T Z E R L A N D . D U B A I . I N D I A . M A L A Y S I A . S I N G A P O R E

©2016 Bristlecone Ltd. Bristlecone believes the information in this presentation is accurate as of the presentation date. The information is subject to

change without notice. Bristlecone acknowledges the proprietary rights of the trademarks and product names of all companies mentioned herein.

All Rights Reserved.

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supply chain innovation - supply chain and logistics

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