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Untowed INC. | RingCo LLC

E-spine

A UX Case Study

Monitor the real-time equipment performance so you can anticipate failure before it happens!

Meet The Team

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Tinkel Mittal

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Hemit Shah

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Manvish Palaldugu

Overview

Problem

Problem

Non functioning equipment in the yard have consequences

resulting in high cost of functioning

Solution

Solution

E-spine provides one platform to easily monitor performance and

maintenance of the equipment throughout its life cycle with cost effectiveness.

Users

Users

making the work of a facility manager and

maintenance manager easier

Business model

Business model

providing profit making opportunities to the

stakeholders using value focused model

primary user group
keep satisfied

Shipppers

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monitor

Crane

operators

over the road truck drivers

manage closely

Facility managers

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keep informed

Chief engineering officers

strategy officers

high

Target Audience

What we learned through desk research,

user interview followed by affinity mapping

Power
Influence
low
high
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User map

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User Research Process

Empathy Map

What does the user
SAY

What does the user
SAY

" Level of granularity is all I need "

"My shippment is worth million dollars"

What does the user
SAY

What does the user
THINK

Crane operators feels unsafe in

working hazardous conditions

Information about cargo should be

hierarchical, strictly need to know basis.

Frustrated because they feel there is no cure

What does the user
SAY

What does the user
DOES

Trucks and rail backups

clogging roads

Chassis sitting ideal even when there is a backlog of trailers

Precious equipment getting damaged in the yard

What does the user
FEEL

What does the user
FEEL

Pollution issues and health concerns

Fuel prices rising. Non functioning equipment

in the yard have consequences

resulting in high cost of functioning

Personas

Meet Winnoa, strategy officer at intermodal terminal

Winona is a busy Strategy officer whose job is to plan the working strategy of the intermodal terminal including but not limited to efficient managing of the equipment, overseeing their maintenance, and using them to their best potential for accuracy and cost efficiency
Working Woman

Winnoa Prince

The Problems

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01

"Intermodal shippers often complain of a chassis shortage,

but plenty of chassis are available.

They’re simply piling up in inconvenient locations."

The Challenges

Problem Statement

How might we help the intermodal terminals overcome the challenges assosiacted with their equipments

to improve the machine productivity and reduce downtime?

Equipment malfunctions make large industrial facilities lose 323 production hours annually, costing $172 million overall.

Important numbers

$35,000 a day, for every crane that’s not in operation.

70% of unplanned downtime results from human error.

Studies show that predictive maintenance increases equipment availability by 5%-15% and reduces maintenance costs by up to 25%.

The Solution

current series of events

man notices
man notices
Failure occurs
response time
response time
failure occurs
failure occurs
sends alert
sends alert
repair occurs
repair occurs
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predicts failures

learns from output

before failure

repair logs

preventive alerts

Replaced by parallel ecosystem
for time efficiency

FEATURES

E-spine Prototype

All through one dashboard

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equipment visibility

in real time

predictive and

preventive maintenance

Automatic anomaly detection

Overload

detection

Maintanence backlog records

Downtime tracking and analysis

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Business model

30%

reduction in

energy consumption

What results will E-spine deliver?

20%

Extension in the lifetime of an aging asset

Value proposition

90%

Reduction in technician time spentfilingwork orders and locating assetinformation

70%-75%

decrease of breakdowns

based on predictive maintenence software outcomes*

Market fit
growing at a CAGR of 24.04% by 2030

Total addressable market​​

Serviceable addressable

market

Serviceable operational

market

75% of terminals will turn to industry

4.0 solution by 2030

equipment management market

$5.95 billions

$ 250 billions

supply chain

industry

$5.95 B

$ 250 B

The global predictive maintenance market

total

Competition edge

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direct competition in intermodal industry but focuses more on trucking solutions

dependent on manual labour

Performance

Maintenance and risk

no analysis on productivity loss

E-spine

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Performance + Maintenance + Analysis

on productivity loss and business affected

total

Key partners

DATA ANALYSIS AND VISUALIZATION PROVIDERS

ORIGINAL EQUIPEMENT MANUFACTURERS

IOT EQUIPMENT

PROVIDERS

Marketing channels & Customer relationship

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Cost structure

$65,000 p.a.
base salary

$70,000 to generate a 

100,000 samples dataset

$10,000-15,000 depending on the
sensor type and numbers

Design and
developement

Data acquisation

and

A.I based analysis

IOT

equipment

Revenue streams

Regular income sources

Premium subscription

250$-300$ / month with customizable dashboard, productivity reports

Basic subscription

for small businesses

150$/ month

Long term income sources

Gold mine- Data accquired and licensing intellectual property

(OEM to dealership)

plus multiple cross industrial collaboation oppurtunities

Next Steps

Future roadmap

Assembling

the team

Developing precise

metrics

Developing the required prototype

Row of Cranes

"One of the most expensive parts of crane repair is not the cost of the actual repair.
It is the
loss of operating income that results when a crane is out of service."

Calvin Leclair - New Business Development

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