AUTOMATION, ROBOTICS & ARTIFICIAL INTELLIGENCE

AUTOMATION, ROBOTICS

& ARTIFICIAL INTELLIGENCETH E F U TU R E O F E -CO MME R CE , F U L F I L L ME NT & D I S TR I B U T I ON

C O M E V I S I T U S A T w w w . S D I . S Y S T E M S

PRESENTED BY

Austin Smith

CEO

Connecting fulfillment technologies,

data, and people, all in one platform.

Jatin Lewis

Senior Sales Consultant

SDI is a leading international manufacturing

company of automation and robotics solut ions

for enterprise-level logist ics centers.

Mike Higley

Senior Software Architect

Barron DeSanctis

Partner | EVP

http://www.sdi.systems/


1. Who are we? - SDI

2. History of Distr ibution

3. The Future of Automation & Robotics

4. The Future of Art if icial Intell igence (AI )

5. Questions

AGENDA



Who are we?



SDI OVERVIEW

1977FOUNDED IN

40YRS.OF EXPERIENCE

300+EMPLOYEES IN NORTH

& SOUTH AMERICA

A LEADER IN SYSTEMS INTEGRATION & AUTOMATED SOLUTIONS



TURNKEY MATERIAL HANDLING & STORAGE SYSTEMS

• Consulting & Data Analysis

• Distribution Center Design

• Vendor Selection & Evaluation

• Engineering & Manufacturing

• Warehouse Management (WMS)

& Warehouse Control (WCS)

• Mechanical Installation

• Controls & Field Wiring

• Project Management

• After Sales Spare Parts, built in USA

• After Sales Support Hotline – based in

Florida – multi-lingual

• Geographically Diverse

WE ARE VERTICALLY INTEGRATED – ONE STOP SHOP


Full Systems

IntegratorProvider

Design Engineer

Implement Support


ONE-STOP SHOP APPROACH "NINJA STYLE"

SDI COMBINES CAPABILITIES WITH HIGH TOUCH SERVICE TO BE THE INTEGRATOR OF CHOICE

Senior executives

and owners are

in touch with

the clients and projects

AT ALL TIMES.

Design / Consulting

Capabilities

that rival the competition

Nimble / can handle schedules



HQ

LOCATIONS IN THE AMERICAS w/ GLOBAL PARTNERS



SDI CLIENT LIST CONSISTS OF

Omni-ChannelMulti-Channel

Retail / Wholesale

E-Commerce

3rd PartyLogistics

Fashion, Shoes& Accessories

ParcelHandling

ParcelHandling

MedicalIndustry

Vitamins & Supplements

Food & Super Market



History of Distribution



The Future of Automation & Robotics



UTILIZING THE CUBE



MORE GOODS TO PERSON

D E S I G N E D F O R :



ROBOTICS

E N Z O ( A G V )K I N D R E D R o b o t i c A r m



DARK WAREHOUSEa ful ly-automated warehouse that

operates w ithout the use of human labor.

You can s imply turn the l ights out and the operation w i l l continue to run.



Anyone invested into any automation /

robotics project / success s tor ies they want

to talk about?



CONNECT, COLLECT & ADAPTArti f icial Intel l igence



NOT JUST A WATERCOOLER

CONVERSATIONCOVID-19 made us go f rom a

“nice to hav e” to a “need to hav e”



62%

Supply chain leaders believe similar

large-scale disruptions are likely to

occur in the future.

AC C ORD I N G TO THE 2 0 2 1 D E L O I T TE G L O B A L R E S I L I E N C E R E P O R T

30%

Supply chain leaders believe their

organizations can quickly adapt and

pivot in response to disruptive events.

34%

Supply chain leaders feel prepared to

lead through uncertainty or disruptions

that might arise in the future.



PANDEMIC-DRIVEN SHIFTSThe pandemic exposed the v ulnerabi l i ty

and fragi l i ty of supply chains



Lack of v isibility and forecasting with

changing pressure on online demand.

O R D E R V O L U M E


the challenges in Labor.

L A B O R

Lack in v isibility and forecasting: damaged

items, returns & refunds caused by DC.

C O N S U M E R S

W H A T H A S C H A N G E D ?




changing pressure on online demand.



the challenges in Labor.

L A B O R

Lack in v isibility and forecasting: damaged

items, returns & refunds caused by DC.

C O N S U M E R S

W H A T H A S C H A N G E D ?



J U M P I N I N V E S T M E N T S F R O M T H E P R E V I O U S Y E A R

Inventory & Networking Optimization Tools55%

Cloud Computing & Data Storage

Robotics & Automation

Sensors & Automatic Identification

Predictive & Prescriptive Analytics

Artificial Intelligence Technologies

54%

53%

52%

45%

35%



EARLY ADOPTERSWhat are technology leaders doing r ight now ?



Partnering with vendors to better understand applications and business benefits

Piloting new technologies

Increased investments for innovative technologies

Recruiting for different skillsets to align to future needs

Change Org. Structure to create culture of Innovation

Training for emerging technologies

48%

42%

39%

33%

30%

W H A T P R E P A R A T I O N S F O R C H A N G E A R E B E I N G M A D E ?

37%



C O M P A N I E S T H A T E M B R A C ED I G I T A L T E C H N O L O G I E S & I N N O V A T I O N S C A N …

B E N E F I T

Create sustainable competitive

advantages that enable them to

thrive in the post-disruption world.

A D A P T

Recover faster than

their peers.

Recover Faster

Respond more quickly and

effectively to the immediate

challenges posed by disruption.

I D E N T I F Y

Respond Faster

Stay On Top



All reasons why ARTIFICIAL INTELLIGENCEis necessary for future success

of organizations



BUT FIRST…Do you know w hat i s takes to implement AI ?



1. RAW Data

Connection to SourcesLarge amounts of QUALITY data.



1. RAW Data


2. Store the Data

Deep LearningSubset of ML which make the

computation of algorithm feed by large

amount of stored data



1. RAW Data


2. Store the Data




3. Apply Machine Learning

Behavior can Change on

New InformationSubset of AI which use stat istical methods to

enable machines to improve with experience



1. RAW Data


2. Store the Data








4) Apply Artificial Intelligence

AI Requires a Closed LoopA technique which enables machines to

mimic human behaviour



1. RAW Data


2. Store the Data








4) Apply Artificial Intelligence

AI Requires a Closed LoopA technique which enables machines to

mimic human behaviourThe FASTER

your loop

spins,

the SMARTER

your AI is.










54%

53%

52%

45%

35%










54%

53%

52%

45%

35%



AI driven order wave building that

allows for over provisioning unit sorter,

allowing for larger pick waves.


AI forecasting used to predict

labor needs.

L A B O R

AI assisted inventory management that

adjusts inventory location over time base

on real time feedback and historic trends

resulting in faster pick routes.

C O N S U M E R S

A I C A N H E L P W I T H



OK…What can w e do r ight now ?



N E X T S T E P I S L E A R N I N G T H E M A C H I N E

Step 1:Connect Data

Start finding an integrator that can connect,

collect and translate lower-level systems data.




Step 1:Connect Data

Start finding an integrator that can connect,

collect and translate lower-level systems data.

Have them work with your vendors and

understand what data is available.




Step 1:Connect Data

Step 2: Store & Clean Data

Hindsight

Early levels of feedback within 90 days




Step 1:Connect Data


Hindsight

Early levels of feedback within 90 days

You need at least 1 year of continuous

stored data




Step 1:Connect Data


Hindsight

Step 3:Identify Patterns

Insight




Step 1:Connect Data


Hindsight


Insight

Step 4:Make Predictions

Foresight




Step 1:Connect Data


Hindsight


Insight

Step 4:Make Predictions

Foresight



M A C H I N E L E A R N I N G W I L L P R O V I D E Y O U

Historical Data Current Month Predictions

T O D A Y



A N A T O M Y O F A I

Your Machine Learning Algorithm

Perceive Environment

Detect patternsUnderstand, decide,

and updateVisualization

T H E A I F E E D B A C K L O O P



WHAT CAN I SEE & USEWith Arti f ic ial I n tel l igence



T H I S I S W H A T T H E O U T P U T L O O K S L I K E W I T H A I



Questions?

Come visit us at sdi.systems


robotics they want to talk about ?




https://sdi.systems/


Questions?







THANK YOU!


Documents

AUTOMATION, ROBOTICS & ARTIFICIAL INTELLIGENCE