Distributed Ledger Example how technology can …6213a747-519a-46a5-bf03...Distributed Ledger...

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Distributed Ledger – Example how technology can reduce supply chain risks Jags Rao, May 21 2019, Director - Distributed Ledger Technology

Transcript of Distributed Ledger Example how technology can …6213a747-519a-46a5-bf03...Distributed Ledger...

Page 1: Distributed Ledger Example how technology can …6213a747-519a-46a5-bf03...Distributed Ledger –Example how technology can reduce supply chain risks Jags Rao, May 21 2019, Director

Distributed Ledger – Example how technology can reduce supply chain risksJags Rao, May 21 2019, Director - Distributed Ledger Technology

Page 2: Distributed Ledger Example how technology can …6213a747-519a-46a5-bf03...Distributed Ledger –Example how technology can reduce supply chain risks Jags Rao, May 21 2019, Director

Jags Rao | May 2019 | Distributed Ledgers – Supply Chain Risks

DLT could expand and transform businesses - Enterprises need to be prepared and shape this change

DLT therefore offers strategic long-term benefits across the insurance value chain, beyond lower cost & complexity:• reduced duplication and

reconciliation• increased automation of business

processes• access to near real-time risk data• access to new channels and

models for top-line growth

DLT can enable cooperation platforms allowing multiple competing stakeholders to:• streamline business processes• develop data standards• share and exchange real-time data,

on a need-to-know basis

DLT can establish trust by ensuring secure, transparent and efficient transaction processes with effective governance.

The governance can be enforced either in a P2P manner by members in the DLT network or through a cooperative organization representing the members.

Increased trust Standards & Data access Lower cost & complexity+ =

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DLT (Distributed Ledger Technology) has the potential to fundamentally change how corporations interact, transact and share data across the value chain

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Combined innovation of DLT, IoT and AI is accelerating commercial supply chain digitization (e.g. Marine Trade, Trade Finance, Automotive, Food) and generating structured and formatted data at scale

Four quadrants depict differences in nature of data subjects, risk patterns and regulatory aspects

Commercial Property

Personal Property

Casualty

Life and Health

Commercial Lines

Property People Liability Asset-centric Lower data regulation End-insured specific risk

events shared through DLT

People-centric High data regulation End-insured specific risk

events hard to access

High-volume New risk patterns discovered

through research High data sensitivity

Low-volume New risk patterns discovered

thru specialty Low data sensitivity

Personal Lines

Urban Air MobilityUrban Air Mobility

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Example Marine Trade Supply Chain-TradeLens

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Jags Rao | May 2019 | Distributed Ledgers – Supply Chain Risks

TradeLens – Blockchain based platform that is digitizing the global marine trade

• The platform empowers faster and more efficient, transparent and secure global trade

• TradeLens is built for the industry and offers benefits to trade participants from across the supply chain ecosystem

• IBM and Maersk are developing the platform under a joint collaboration, with significant input from and participation by the industry

• An Advisory Board is being formed to help shape the platform and drive standards

• TradeLens is live in production today, processing millions of transactions per day

JOURNEY

September 2018

TradeLens Limited Availability Release

December 2018

TradeLens Commercial Release 1.5 million

events per day published to the platform

January 2019

Latest production release includes new document

sharing, permissioning and notification features.

Working with more than 100 ecosystem

participants

August 2018

Formal launch of the TradeLens platform

92 participants signed on

January 2018

Beta release of the platform and launch of Early

Adopter program; trials underway

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TradeLens SOLUTIONS LANDSCAPE

NETWORK

Comprised of the TradeLens

network members, such as

carriers, ports, and customs

authorities, that connect to and

provide data to the platform

PLATFORM

Accessible via an open API, the

TradeLens Platform brings

together the supply chain

ecosystem and enables the

industry to share information

and collaborate; Blockchain and

cloud technologies power the

platform

APPLICATIONS AND SERVICES

An open marketplace that

allows both TradeLens and

third-parties to publish fit-for-

purpose services atop the

TradeLens platform

TRADELENS

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BCO / NVO FFW / CHB / 3PLInland Transportation

Customs / Government Authorities

Ports / TerminalsOcean Carriers

FFW / CHB / 3PL

Inland Transportation

BCO / NVOPorts / TerminalsCustoms / Government Authorities

TRADELENS BLOCKCHAIN BUSINESS NETWORK

TRADELENS PLATFORM

Packing List

Bill of Lading

Export Documentation

Advance Declaration

Pre-Paid Invoice

Certificate of Origin

Shipping Instructions

ISF

Geography Specific Certificate Dangerous Goods

Declaration

Cargo Specific Certificate

Commercial InvoiceCustoms

ClearanceImport Documentation

Not exhaustive list of documents managed by platform

SHIPPING MILESTONES AND SHIPMENT DATA

STRUCTURED AND UNSTRUCTURED DOCUMENTS

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Not exhaustive list of milestones managed by platform

TradeLens Platform generating data at scale

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Example Food Supply Chain – IBM Food Trust

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Jags Rao | May 2019 | Distributed Ledgers – Supply Chain Risks

Built on a blockchain platform, IBM Food Trust offers industry-specific functionality targeted at key pain points

• Fresh Insights*

Access real-time and aggregate supply chain data to extend product freshness and shelf life

• Trace

Trace the location and status of food products upstream and downstream across the supply chain

• Certifications

Enable reliability and accountability with instant access to digitized records and documents

• Third-party

Partner to expand functionalities and deliver new value across the food system through our APIs (see next page)

Food Supply

Ecosystem

Blockchain

Technology

IBM Blockchain Platform

Hyperledger Fabric

*Will be made available in 2019

Capabilities

Information-

sharing Platform

APIs can be used to retrieve platform data to create new applications for internal and consumer facing applications

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Jags Rao | May 2019 | Distributed Ledgers – Supply Chain Risks

IBM Food Trust promising to cater value for all ecosystem actors Speeds time-to-value by* :

• Adding new modules that address various food supply chain pain points

• Designing a business model where all clients, from small farm to large retailers, generate a positive ROI from the first few products and partners onboarded

• Growing the ecosystem with supply chain partners, competitors, third parties, and standard-setting bodies

Growers

Food Manufacturers Food Logistics

• Provenance

• Prove sustainable

growth practices

• Real-time inventory

management

• Automatic certificate

management

• Real-time inventory

management

• Compliance

efficiencies

Wholesalers /

Distributors

• Real-time inventory

management

• Targeted recalls

Food Retailers

• Brand trust

• Customer loyalty

• Targeted recalls

• Extended shelf-life

Ensuring value

for all supply chain actors * Based on internal value analysis of IBM Food Trust

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Jags Rao | May 2019 | Distributed Ledgers – Supply Chain Risks

Risk Intelligence Cockpit

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Jags Rao | May 2019 | Distributed Ledgers – Supply Chain Risks

Swiss Re Risk Intelligence Cockpit at the heart of delivering supply chain resiliencePlatform for collecting supply-chain data, delivering data-driven intelligence and global scaling of superior solutions

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Platform Data Lakes Resilience

Digital Distribution

Event-driven Risk Servicing

Risk-as-a-Service

Decentralised sources

Data harvesting engine with a repeatable framework that

aggregates diverse external data lakes and enriches with SR historic risk data

to deliver resilient applications

Risk Intelligence Cockpit

Urban Air Mobility

Centralised sources

Zhuhai /

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Resilient Trade: Proof-of-Value for Accumulation and Composition RisksRisk specific inferences are derived for the marine cargo movement in the prototype version by connecting to time-series data from TradeLens, a digital marine trade supply chain platform

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Cargo shipping data Resilient TradeRisk Intelligence Cockpit

Prototype focused on use cases involving two kinds of risks modelled from the transport

events:1) Accumulation risk: Patterns in transport

events leading to high variance in accumulation of consignments at a given port

2) Composition risk: Combinations of contents of consignments at a vessel/port leading to

degradation/loss of cargo

Link to Prototype: Resilient Trade (Marine) proof-of-value

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©2019 Swiss Re. All rights reserved. You are not permitted to create any modifications or derivative works of this presentation or to use it for commercial or other public purposes without the prior written permission of Swiss Re.

The information and opinions contained in the presentation are provided as at the date of the presentation and are subject to change without notice. Although the information used was taken from reliable sources, Swiss Re does not accept any responsibility for the accuracy or comprehensiveness of the details given. All liability for the accuracy and completeness thereof or for any damage or loss resulting from the use of the information contained in this presentation is expressly excluded. Under no circumstances shall Swiss Re or its Group companies be liable for any financial or consequential loss relating to this presentation.

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