P O W E R E D B Y

May 2018

Future of the Supply Chain: Mapping the Innovation Pipeline with Unstructured Data

Datase t s : Sc ien t i f i c Papers , Pa ten t s , Companies , G loba l News & B logs

Monitor the Entire Innovation PipelineQuid understands that innovation doesn’t occur in isolation. Our platform reveals trends across disparate datasets, helping you map the flow of new technologies from inception to product launch & beyond.

• Understand research in spaces that will impact your business

• Reveal competitor-sponsored research

• Find partnership opportunities with pertinent researchers

5--15 year horizon3--7 year horizon2–5 year horizon+/-- 1 year horizon

Patents

• Deep dive on a competitor or set of competitors’ IP strategy

• Understand value chains for emerging technologies

• Evaluate your own IP positioning

• Find investment and M&A signals in startups or legacy industries

• Analyze competitor investments and M&A

• Comprehensively map the applications & market components of emerging technologies

• Understand evolution of narratives about technologies, consumers, companies & more

• Data-driven understanding of consumer sentiment

• Find most resonant themes for media & consumers

The Fu tureToday

News & Blogs Companies Patents Academic Research

Q u i d n e t w o r k f i l t e r e d f o r t h e t e r m “ t e c h n o l o g y ”

We begin by exploring global news & blogs, where Quid can unveil major themes within the Supply Chain narrative & identify emerging technology and products.

• Search Query Used = (“Supply chain” and “retailer”). Querying from Lexus Nexus, a global news source with over 550,000 integrated news sources. Clustering around similar topics and keywords.

Q u i d n e t w o r k f o r a l l S u p p l y - C h a i n N e w s

Retail Lanscape (9.2%)

Artificial Intelligence (8.2%)Freight - Shipments (7.2%)

Supply-Chain Integration (7.1%)

Amazon (6.9%)

Sustainability (6.9%)

Supply Chain Management (6.0%)

Transparency (5.4%)

Delivery (5.3%)

Security (5.2%)

Blockchain (4.5%)

Tracking (4.4%)

Drug Market (3.7%)

Food Retailing (3.5%)

RFID (3.1%)

Supply Demand Chain (2.3%)

Food Safety (2.1%)

Personal Experience (2.0%)

Regulations (1.8%)

Food Supply Chain (1.5%)

Digital Supply chain (1.3%)

Artificial Intelligence (12%)

Supply Chain Integration (7.9%)

Blockchain (7.3%)

Amazon (6.7%)

Supply Chain Management (6.4%)

Freight - Shipments (6.0%)

Delivery (5.8%)

Tracking (5.2%)

Retail Lanscape (5.0%)

Transparency (5.0%)

Security (4.4%)

RFID (3.7%)

Sustainability (3.5%)

Supply Demand Chain (3.3%)

Food Safety (3.1%)

Food Retailing (2.6%)

Metro Supply Chain (2.5%)

Drug Market (2.5%)

Personal Experience (2.3%)

Food Supply Chain (1.6%)

Digital Supply chain (1.5%)

Regulations (1.5%)

News & Blogs

Emerging Technology in Supply Chain and Logistics - Horizon 1: Using News and Companies to Reveal New Incremental Enhancements, Core Business Operations, Products and Services

Incremental Technology Enhancement Impact Example InnovativeCompany

Supply Chain Integration: Transform digital commerce infrastructure and focus on seamlessly integrating online channels, brick-and-mortar stores and backend supply chains (Visionet Systems Partnership)

More accurate electronic data Interchange. More consistent experience across supply chain

Company A

Artificial Intelligence: Platform that delivers automated instructions to execution layers such as the retailer's ERP, supply chain system, marketing automation tools, and in-store experiences

Trend detection, price management, personalization, allocation

Rubikloud, Intel

Last-Mile: Connect local business or consumers with nearby car drivers and enable on-demand and same day delivery through apps or other software services.

Seamless and personalized delivery. Close the last mile gap between merchants and customers.

Company B

Blockchain: Smart contracts to make and verify transactions across the supply chain Maintain transparency, secure record keeping, track the transport of goods, and provide a method to engage in secure transactions

Company C

3d Printing (Additive Manufacturing): Create on-demand and customizable material from large manufacturing products, auto components, or consumer goods.

Cut costs, allows for more agile supply chain, greater productivity and more creative solutions

Company D

Delivery: Software integration that enhances visibility across procurement, logistics, manufacturing and inventory management

Shrink lead times, ensure product availability, compete with Amazon and Walmart delivery

Elementum, Home Depot

Personal Experience: Mobile Point-of-Sale payments, employee inventory search, delivery from sales floor. Enhanced Customer Experience Company E

Blockchain: Blockchain based electronic shipment systems Transparency, digitization, track cargo in real time all over the world

Company F

Artificial Intelligence: Stereoscopic camera’s that roam aisles and take inventory. Image Recognition. On-Shelf Inventory Management Company G

Tracking: Complement logistics controls and create an integrated vision to process in all vehicle transit and product handling phases, traceability of materials, reverse logistics, accounting control and automation of data. RFID (Radio Frequency Identification)

Enhance automation, data integration, machine learning, traceability and tracking functions.

Company H

• Analysis determined based on research on both the News dataset and the companies dataset to determine technologies that are either currently in development or are on the horizon

Quid then analyzes thousands of startups developing innovative supply chain solutions and identifies those with the greatest potential to create lasting disruption

Most Recent Funding: 2017

Headquarters: Sydney, Australia

Description: Blockchain start-up that combines the latest blockchain and 5G technologies to solve critical issues regarding authentication, security, device validation, and interoperability across supply chain flows and IoT networks.

Founding Year: 2017

Investors: Sapien Ventures, CollinStar

Nodes represent individual companies.

Links between nodes represent shared language in company business descriptions.

Clusters are market groupings of companies that use similar technologies or provide value in similar ways.

Network of 1651 startups, representing $15.3B in investment. Nodes sized by degree.

Companies

Delivery & Last-Mile (11%)Warehousing & Management services (8.2%)

Order Management (7.9%)

Fashion - Apparel (7.6%)

Cybersecurity (5.9%)IoT - RFID (5.9%)

Supply Chain Finance - Payments (5.8%)

CRM - ERP (5.1%)

Agriculture (5.1%)

Manufacturing (5.1%)

Healthcare (4.5%)

Artificial Intelligence (4.4%)

Blockchain (4.1%)

Security (4.0%)

Data Analytics - Big Data (3.4%)

Waste Management (3.4%)

Transportation Management (3.3%)

Third Party Logistics (2.9%)

Aerospace (1.8%)

Example Company

Company A

Empowered by actionable metadata, Quid categorizes market segments by maturity & saturation

Nodes represent companies, sized by count, colored by company.

Es tab l i shed

Stagnant

Growth

Emerging

Companies

Delivery & Last-Mile

Warehousing & Management services

Order Management

Restaurants

Fashion - Apparel

Cybersecurity

RFID

Agriculture

Equipment

HealthcareArtificial Intelligence Blockchain

Food Safety

Data Analytics -Big Data

Oil and Gas

Waste Management

Recruiting

Transportation Management

Third Party Logistics

Aerospace

In the following scatterplot it is evident that the supply chain and logistics space is quite established in a lot of industries but is experiencing disruption from the growth of delivery and last-mile services as well as the emergence of artificial intelligence, blockchain technology, and consumer demand for more transparency in the food supply chain.

Start-up Recommendations: Supply Chain and Logistics

Methodology: Taking the exported metadata from the companies dataset we are able to create a weighted calculation using the 6 investment factors in the heat map above to identify start-ups within the supply chain and logistics space that could be good potential partnership opportunities.

Company Name Cluster Retail ImprovementTotal Raised (last 5

years)Avg Days Btw

RoundsDays Since Last

Round# of Rounds (last 5

years)Uniqueness score

(percentile)Bridging score

(percentile) Overall Rank

Company A Delivery & Last-Mile Inventory Management $ 42,381,939.00 272.5 172 3 84% 83% 1

Company B Food Safety Productivity and Cost Savings $ 3,900,000.00 375 74 2 98% 91% 2

o9 Solutions, Inc. Data Analytics -Big Data Trend Detection $ 22,000,000.00 252.2 422 6 54% 81% 3

Company C Delivery & Last-Mile Internet Retailing Solutions $ 41,613,033.00 104.5 928 3 73% 75% 4

Company DWarehousing & Management services

Cost Savings, Price Competition $ 301,900,000.00 270.5 14 5 49% 0% 5

Project44, Inc.Warehousing & Management services Shipping Experience $ 45,500,000.00 582 24 2 56% 90% 6

Company E Artificial Intelligence Manufacturing Cost Savings $ 506,749.00 122.5 434 3 51% 67% 7

Company F Fashion - Apparel Environmental Concerns $ 17,280,220.00 701.5 98 3 67% 71% 8

Company G Order Management Omnichannel Solutions $ 1,785,000.00 282 148 5 10% 60% 9

When analyzing patents, Quid reveals industry-wide R&D trends & highlights which players are developing unique IP

Nodes represent individual patents.

Links between nodes represent shared language in patent abstracts.

Clusters are groupings of IP that address similar problems or employ similar technologies.

Network of 1232 most cited patents filed after 2008 relating to supply chain retail. Nodes sized by degree.

Patents

Modeling-Simulation Systems (16%)

Equipment (9.6%)

Data Management - Personal Digital Assistant (9.1%)

Transportation Environment (8.4%)

Shipment Management Systems (6.4%)

Sensors and Electric Components (6.3%)

Digital Payments Processing (6.0%)

Tracing (RFID, microchips, antenna's) (5.4%)

Security - Encryption (5.3%)

Image Capturing (4.3%)

Agricultural Products (4.1%)

Scanning Systems (3.6%)

Communication Translation Systems (3.2%)

Mobile Drive Units (3.0%)

Robotic Order Fulfillment (1.9%)

Centralized Decision Making (1.6%)

E-Commerce (1.3%)

Power Stations (1.2%)

Cloud Service Platforms (1.1%)

Identification Fibers (0.97%)

Cloud Infrastructure (0.57%)

Employing citation metadata and temporal signals can reveal where technologies lie in their innovation lifecycle

Robotic Order Fulfillment had high impact as measured by incoming citations, demonstrating its broad importance to other supply chain technologies

Nodes represent clusters, colored by cluster

Cloud Service Platforms represent the most innovative IP cluster based on median recency of application date

Patents

Modeling-Simulation Systems Equipment

Data Management -Personal Digital Assistant

Transportation Environment

Sensors and Electric Components

Digital Payments Processing

Tracing (RFID, microchips, antenna's)

Security - Encryption

Image Capturing

Agricultural Products

Scanning SystemsCommunication Translation Systems

Mobile Drive Units

Robotic Order Fulfillment

Centralized Decision Making

E-Commerce

Cloud Service Platforms

Identification Fibers

Cloud Infrastructure

IT-as-a-service company developing cloudMatrixFounded in 2004 and acquired by IBMTotal Funding: $40.3 M

Example Company

Company A

Emerging Technology in Supply Chain and Logistics - Horizon 2: Using Companies and Patents Datasets to Discover New Products, Markets, Customer Classes, Business Models

Innovations, New Products, New Markets, New Business Models Impact Example Company

Cloud Service Platforms: Non-transitory computer-readable storage medium for creating, provisioning and managing virtual data center. Cloud Service Brokerages

Ability for data sources to talk with each other and make decisions. In the Cloud.

Company A

Robotic Order Fulfillment: Method for generating robotic grasping instructions for items in e.g. mail order warehouse, involves instructing robotic manipulator to perform grasping strategy, and storing strategy in association with characteristics of item in database

Automated Warehouses, speed, machines learning product variations.

RightHand Robotics, Inc.

Modeling-Simulation Systems: Computer-implemented method for facilitating booking based demand forecast problem for e.g. lorry, involves training multivariate time series model using converted multivariate time series, and forecasting results using model

Integrated AI within automated warehouses

Company B

Personal Digital Assistant: Method for real-time presenting, listing, updating, searching, matching, filtering on-demand services, service providers and consumers or users and facilitating for consuming on-demand services, involves performing searching, and matching

Personalization in shopping and buying experience based on data

Telepathy Labs, Inc.

Image Capturing: Method for e.g. identifying prescription for narcotic analgesics on laptop computer in digitally secure environment, involves receiving image that includes product authentication identifier, and identifying authentication identifier

Enhanced security and verification methods

Company C

Scanning Systems: Method for creating and managing commercial insights in waste management, involves utilizing scanner to scan codes of discarded products which enter receptacle bin, and providing data relating to discarding of products to external entity

Product Traceability, Sustainability measurement and tracking capability

Company D

Mobile Drive Units: Order fulfillment system has used in e.g. mail order warehouse, has fiducial mat that comprises fiducial marks which facilitate sensor-based navigation by unmanned drive units that move item into, within, and out of freight transporter

Automated driving units in warehouse that can carry large pallets

Company E

Encryption: Method for discouraging counterfeiting of pharmaceutical products, involves verifying authenticity of pharmaceutical by directing laser beam through packaging to reveal hidden security feature on surface behind packaging

Security and counterfeit detection

Company F

Sensors and Electric Components: Customer alert system for product temperature compliance, has control circuit which obtains verification from customer receiving retail product that thermochromic indicator being affixed to product exhibits first color

Improved transparency, quality control, and customer service

Company G

Blockchain: Method for generating blockchain-based letter of credit relating to contract for trade transaction, involves transferring payment for contract for trade transaction to seller in response to detecting occurrence of both of flow event

International Trade Enablement, Blockchain letter of credit (BLC)

Company H

• Analysis determined based on research on both the Patents dataset and the companies dataset to determine technologies that are either currently in development or are on the horizon

“Pricing Policies for a Dual Channel retailer with cross channel returns” was the most influential paper by Degree

By analyzing academic literature, Quid identifies early-stage applications & technologies that will shape the long-term future of the supply chain

Nodes represent individual academic papers.

Links between nodes represent shared language in paper abstracts.

Clusters are groupings of papers that address similar problems or employ similar technologies.

Network of 2000 most cited papers relating to supply chain. Nodes sized by citation count.

• *Nodes with high Betweenness Centrality have many connections that extend to disparate parts of the network. These nodes contain language that is shared across multiple clusters.

Academic Research

Food Supply Chain (6.3%)

Energy and Emissions (5.6%)

Big Data - analytics (5.3%)

Inventory Management (4.9%)

Resource Consumption (4.9%)

Risk Mitigation Strategies (4.7%)

Logistics Services (4.5%)

Sustainability (4.4%)

Suppliers (4.2%)

Wholesale (4.1%)Renewable Energy (3.7%)

Innovation and Adaptability (3.6%)

Remanufacturing (3.6%)

Scheduling and routing (3.6%)

Green Suppliers (3.5%)

Social Responsibility (3.3%)

Raw Materials (3.0%)

Omni-Channel Supply Chain (2.8%)

Healthcare (2.7%)

RFID (2.0%)

Data Envelope Analysis (1.9%)Circular Economy (1.8%)

Open Access (0.64%)

Shelf Life (2.4%)

“Sustainability outcomes through direct digital manufacturing-based operational practices” was the most influential paper by citations & betweenness centrality*

Using Citations and Betweenness Centrality of clusters Quid is able to identify the most resonant and central ideas as they pertain to the future of the supply chain

Nodes represent individual academic papers.

Links between nodes represent shared language in paper abstracts.

Clusters are groupings of papers that address similar problems or employ similar technologies.

Network of 2000 most cited papers relating to supply chain. Nodes sized by citation count.

Academic Research

Food Supply Chain

Energy and EmissionsBig Data - analytics

Inventory Management

Resource Consumption

Risk Mitigation Strategies

Logistics Services

Sustainability

Suppliers

Wholesale

Decentralized Supply Chain

Renewable Energy

Scheduling and routing

Innovation and Adaptability

Green Suppliers

Social Responsibility

Raw Materials

Omni-Channel Supply Chain

Uncertainty in the Supply Chain

Shelf Life

RFID

Circular Economy

Farmers - Producers

Emerging Technology in Supply Chain and Logistics - Horizon 3: Using Academic Research to predict exponential technologies, novel business ideas, and industry changing innovationInnovations, New Products, New Markets, New Business Models ImpactDynamic Supply Chain (Smart Factories): Connected smart factories that share interchangeable processes through a cloud-based system for personalized production. In the system, customers are able to upload a product design file, an optimal supply chain design and operations plan are then determined based on the available resources in the network of smart factories.

Enhanced speed, less inventory, workflow optimization, automated supply chain, machine dependence

Circular Economy: Need credit rating prior to global collaboration. Use blockchain technology to establish each economic entity’s transaction details and then employ confidence level algorithms to calculate credit ratings.

Provides effective credit rating of public economic entities. Accountability and transparency.

Drones: Collaborative parcel delivery by truck and drone. Heuristic solution to optimize parcel delivery using drones by increasing speed, efficiency, and scale.

Delivery speed, efficiency, optimization. Cut Costs

Energy and Emissions: Cost-Sharing contracts for energy saving and emissions reduction of a supply chain under the conditions of government subsidies and a carbon tax.

Sustainability becoming engrained in business practices

Logistics Services: Local stations with additive manufacturing equipment and direct digital manufacturing for personalized manufacturing of tools and customized or personal products with crowdsourced development and delivery methods.

Less dependence on traditional manufacturing, enhanced speed and personalization

Risk Mitigation Strategies: Mobile Supply Chain Management in the Industry 4.0 Era. Personalization, tracking, customer experience

Reverse Logistics: Remanufacturing, repairing, and/or recycling of electrical and electronic waste. Trace the product structure back to individual parts and perform analysis to determine the amount of high quality material needed to make a facility economically viable.

E-waste management. Sustainability improvement

Similar nodes cluster together, and clusters are grouped by color. Each node represents a document.

Connections represent similar language used

across nodes

A bridging node between two clusters indicates the document is at an

intersection between two concepts.

Peripheral clusters could represent niche takes on the topic

Centrally located nodes are core concepts in the network and share language with many other nodes

Greater distance between clusters indicates a low number of inter-related documents

The density of a cluster indicates how similar or diverse the

nodes are within it

HOW TO READ A NETWORK

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