Conversation Starters: Everseen

Summary

Everseen, an AI company specializing in computer vision for retail, discusses its mission to protect profits and people by reducing shrinkage and loss through advanced analytics and real-time process digitization. With a focus on ethical AI, the company leverages its extensive data set to improve customer experience and drive cost savings, offering a unique value proposition in the retail tech space.

Takeaways

• 📈 Everseen is an AI company specializing in computer vision for retail, aiming to reduce shrinkage and improve customer experience through intelligent video camera analysis.
• 🛒 Alex Cisneros, Senior VP of Customer Success and Marketplace Strategy, highlights the importance of real-time detection of irregular activity in retail to prevent losses and enhance customer experience.
• 🌟 Everseen's technology is deployed in over 140,000 checkouts globally, providing significant support to retailers in protecting their profits and people against theft.
• 💡 The company's approach to shrinkage includes understanding the business problem and treating it as a process, addressing deviations from standard operating procedures.
• 🔢 Shrinkage is a significant issue in the retail industry, with an estimated loss of $112 billion in 2022, representing 1.6% of total annual revenue for retailers.
• 🛍️ Everseen focuses on the front of the store, particularly the checkout area, to tackle the most prevalent shrink behaviors such as non-scan or skip scan, which are common at self-checkouts.
• 👥 The solution is configurable to work with retailers' strategies, allowing for soft nudges to shoppers for self-correction or hard stops that require attendant assistance.
• 📊 Everseen uses advanced analytics and machine learning to understand and respond to both honest mistakes and malicious behaviors, adapting its strategies based on data and retailer feedback.
• 🌐 The company is backed by Cross Creek Capital and is committed to continuous improvement, leveraging its position as a leader in edge computer vision AI solutions for global retailers.
• 🔗 Everseen has opened its proprietary computer vision platform to retail customers and third-party providers, fostering an interconnected ecosystem for AI solutions in retail.
• 🚀 The company emphasizes the importance of a collaborative approach with retailers, focusing on outcomes and value assurance, and is dedicated to being a trusted advisor in the journey to loss recovery.

Q & A

What is Alex Cisso's role at Everseen?

Alex Cisso is the Senior Vice President of Customer Success and Marketplace Strategy at Everseen, focusing on driving growth and customer success across the customer experience and being responsible for Marketplace intelligence and ecosystem collaborations.

How does Everseen's technology enhance the retail experience?

Everseen uses Edge AI and computer vision to augment retail systems, providing instant gratification for both operators and shoppers by taking action in crucial moments and enhancing the overall shopping experience.

What is Everseen's approach to addressing shrinkage in retail?

Everseen addresses shrinkage by using computer vision AI to detect and act upon irregular activities in real-time, thereby protecting retailer profits and people, and reducing shrinkage and loss.

How has Everseen grown since its inception?

Everseen started with four people in Blackpool County and has grown to over 1,000 people globally. The company experienced exponential growth after entering the US market in 2016.

What is the significance of Everseen's AI technology in combating shrinkage?

Everseen's AI technology is significant as it helps counteract the growing problem of shrinkage, which is a $100 billion issue globally, by providing intelligent surveillance through computer vision in retail environments.

What are some of the key behaviors Everseen's technology tackles at self-checkout and staff lanes?

Everseen's technology addresses behaviors such as non-scan or skip scan, where shoppers do not scan items properly, and cart-based loss, where items are left in the cart unscanned.

How does Everseen's solution differentiate itself in the market?

Everseen differentiates itself by digitizing retail processes in real-time, enabling advanced analytics to interact with shoppers and staff, and ensuring continuous improvement of its solution set at the edge.

What is Everseen's approach to balancing shrink reduction with customer experience?

Everseen balances shrink reduction with customer experience by configuring soft nudges for shoppers to self-correct versus hard stops that require an attendant's assistance, ensuring a fit for purpose and suitable for the retailer's front-end strategy.

How does Everseen leverage its data to improve its AI models?

Everseen uses a Federated AI learning framework, updating its shrink AI models with statistically relevant inputs securely injected in real-time, based on the largest annotated retail data set in the world.

What is Everseen's strategy for deploying its technology in retail stores?

Everseen's strategy involves working collaboratively with retailers, starting with benchmarking against global data, understanding store configurations, and deploying technology with a focus on speed, labor allocation, and competitive trade areas.

How does Everseen's platform support third-party technology providers?

Everseen has opened its proprietary computer vision platform to allow retail customers and third-party providers to build their own computer vision AI solutions, leveraging Everseen's scale and reach for an interconnected ecosystem.

Outlines

00:00

😀 Introduction to Everseen's Role in Retail AI Solutions

Alex Cisos, Senior Vice President of Customer Success and Marketplace Strategy at Everseen, introduces himself and his role in driving growth and customer success. He discusses his responsibilities in marketplace intelligence and ecosystem collaborations to expand Everseen's reach. The company specializes in AI and computer vision for retail, focusing on enhancing the customer experience and retailer operations through real-time detection of irregular activities. The script also includes a message from Everseen's CEO, Alan, highlighting the company's growth and mission to protect retailer profits and people through AI technology. The narrative underscores Everseen's position as a leader in edge AI solutions, reducing shrinkage and improving cost savings while maintaining ethical and explainable AI practices.

05:01

📊 Shrinkage Loss Data and Everseen's Response

This paragraph delves into the retail industry's shrinkage loss data, citing a total loss of $112 billion in 2022, which represents an average of 1.6% of annual revenue and a 15% increase year-over-year. The script addresses the significant concern of loss at self-checkout, with 69% of retailers still worried about this issue. It emphasizes the substantial impact of shrinkage on retailers' earnings and introduces Everseen's approach to tackling the problem by focusing on the front of the store and checkout areas. The company aims to solve for hidden loss in critical retail processes by identifying and addressing the most prevalent shrink behaviors at self-checkout and staff lanes, such as non-scan or skip scan incidents, and providing solutions that help shoppers self-correct or call for assistance when needed.

10:02

🛒 Addressing Cart-Based Loss and Shrinkage Behaviors

The script discusses the growing issue of cart-based loss at self-checkout, which has doubled in 2023 and accounts for almost one-third of all incidents. It details the impact of this behavior on supermarkets, estimating an annual loss exceeding $102,000 per store. The paragraph highlights Everseen's technology that captures these incidents by configuring a wider field of view to accommodate larger transactions. It also touches on the significant increase in the number of items left unscanned and the value of those items, emphasizing the importance of Everseen's solutions in recovering losses and improving the bottom line for retailers.

15:04

🛡️ Core Differentiators of Everseen's Retail Solutions

Mike Lamb, Vice President of AET Protection and Safety at Kroger, shares his insights on the importance of Everseen's technology in combating shrinkage. The script outlines three core differentiators of Everseen's solutions: digitizing retail processes in real time, enabling advanced analytics to interact with shoppers and associates, and ensuring continuous improvement at the edge. It explains how Everseen's retail process engineering heritage and focus on understanding business problems allow it to offer tailored solutions to retailers, addressing both honest mistakes and malicious behaviors with a balance of art and science.

20:05

🔍 Balancing Act in Retail Loss Prevention

This paragraph explores the balancing act required in retail loss prevention, focusing on how Everseen's technology adapts to different shopping behaviors and intentions. It discusses the importance of understanding and altering the behavior of both honest shoppers and those with malicious intent. The script describes how Everseen's partnership with retailers allows for a unique approach to nudging or interrupting behaviors, using data to inform decisions and continuously improve the solution set. It also emphasizes the significance of Everseen's Federated AI training process, which leverages a vast amount of global signals and patterns of theft to update its shrink AI models.

25:06

🚀 Accelerating Speed to Value with Everseen

The final paragraph discusses the collaborative approach Everseen takes with its retail partners to ensure the most direct path to maximizing shrink reduction. It outlines the importance of benchmarking, global visibility into retail theft patterns, and the continuous process improvement mindset that Everseen maintains. The script stresses the value of working together to understand and accelerate the speed to value, considering factors such as store count, checkout configuration, and labor allocation. It concludes with Everseen's commitment to being a trusted advisor, helping retailers avoid losses and achieve gains through the application of AI across their stores.

🤝 Everseen's Open Platform for Retail Innovation

Everseen has opened its proprietary computer vision platform to retail customers and third-party technology providers, enabling them to build their own AI solutions using Everseen's scale and reach. This initiative aims to create an interconnected ecosystem that puts key information in the hands of decision-makers on the shop floor and at the corporate level. The script mentions upcoming news about collaborations that are already in progress and thanks the retail community for considering Everseen's unique value proposition.

Keywords

💡Customer Success

Customer Success refers to the process of ensuring that customers achieve their desired outcomes while using a company's products or services. In the video, Alex Cisos, as the senior VP of customer success, focuses on driving growth and ensuring customer satisfaction throughout the entire customer experience. This concept is central to the company's mission to support retailers in maximizing shrink reduction and loss recovery.

💡Marketplace Strategy

Marketplace Strategy involves planning and executing actions to enhance a company's position in a market, often through collaborations and intelligence. In the context of the video, Cisos is also responsible for this aspect, which includes leveraging ecosystem collaborations to drive additional opportunities for retailers and expanding into new use cases, channels, and industries.

💡Edge AI

Edge AI, or Artificial Intelligence, is a technology that processes information directly on the edge devices, such as cameras, rather than in a centralized cloud system. In the video, it's mentioned that the company augmented existing retail systems with intelligence gathered from Edge AI and computer vision, which helps in taking instant actions and enhancing the experience for all.

💡Computer Vision

Computer Vision is a field of AI that trains computers to interpret and understand the visual world. In the video, the company specializes in computer vision for retail, linking into store cameras to detect irregular activity in real-time, which is crucial for protecting against theft and reducing shrinkage.

💡Shrinkage

Shrinkage in retail refers to the reduction in the quantity of merchandise available for sale due to various factors such as theft, damage, or inventory discrepancies. The video discusses shrinkage as a significant problem costing retailers globally around a hundred billion dollars and emphasizes the company's role in combating this issue with AI technology.

💡Ecosystem Collaborations

Ecosystem Collaborations involve partnerships and joint efforts within an interconnected system of organizations or technologies. In the video, Cisos mentions such collaborations as a way to drive additional opportunities for retailers and expand the company's reach into new areas.

💡Federated AI Learning

Federated AI Learning is a machine learning approach where an AI model is trained across multiple decentralized devices or servers holding local data samples, without sharing the data itself. The video describes how the company uses this method to update its shrink AI models with statistically relevant inputs, allowing for real-time adaptation to global threat scenarios.

💡Checkout

Checkout in retail refers to the process of paying for goods at the point of sale. The video discusses the checkout area as a critical point for addressing retail business problems, such as shrinkage and loss, and how the company's technology can improve this process by detecting and preventing theft.

💡Loss Recovery

Loss Recovery is the process of identifying and mitigating financial losses in a business. In the video, the company's focus is on helping retailers recover from losses due to shrinkage by using AI to detect and prevent theft at the point of sale.

💡Self-Checkout

Self-Checkout is a system that allows customers to scan and pay for their items without the assistance of a cashier. The video mentions self-checkout as a growing area of concern for retailers due to the potential for increased loss, and how the company's technology can help address this by detecting and correcting issues like skipped scans.

💡Process Engineering

Process Engineering is the analysis, design, and optimization of processes to improve efficiency and productivity. In the video, the company's heritage in retail process engineering is highlighted as a key differentiator, allowing them to understand and solve critical business processes with AI.

Highlights

Introduction by Alex Cisos, Senior Vice President of Customer Success and Marketplace Strategy at Everseen, outlining his role in driving growth, customer success, and marketplace intelligence.

Everseen's focus on using Edge AI and computer vision to enhance retail systems, providing instant gratification for operators and shoppers by enabling real-time action.

Overview by Alan Aur, Founder and CEO, highlighting the company's growth from a small team in Blackpool to a global presence with 1,000 employees.

Everseen's mission to protect people, products, and profitability using AI-driven computer vision, especially in the retail sector.

Discussion of the global problem of shrinkage, costing retailers $100 billion annually, and how Everseen's technology aims to address this issue.

Description of how Everseen's technology integrates with existing CCTV systems to add intelligence and enable real-time detection of irregular activity.

Everseen's reach, with their technology being used in over 140,000 checkouts globally, providing significant protection against product theft.

Explanation of specific retail challenges addressed by Everseen, such as non-scan or skip-scan behaviors at self-checkouts, and how their technology helps correct these issues.

Insights into the growing problem of cart-based loss at self-checkouts, with incidents increasing significantly in 2023, and how Everseen's solutions are mitigating these losses.

Emphasis on the importance of real-time process digitization and the ability to contextualize product movement to improve retail operations.

Everseen's use of advanced AI to balance shrink risk and customer experience, ensuring that interventions are tailored to the situation and customer behavior.

Collaboration with retailers to ensure that AI-driven countermeasures are fit for purpose, balancing the needs of customer experience with shrink reduction.

Details on Everseen's Federated AI learning framework, which continuously updates shrink AI models based on global data to provide the most effective solutions.

Everseen's unique position as the largest retail data factory, enabling them to offer unparalleled insights into retail theft patterns and shrink reduction strategies.

Everseen's commitment to working with retailers to continuously improve and adapt their solutions, ensuring that they remain effective and relevant in a rapidly changing retail environment.

Transcripts

[Music]

hello everyone I am Alex cisos senior

vice president of customer success and

Marketplace strategy for ever scen in my

role I focus on driving growth and

customer success across the endtoend

customer experience for our retailers

and I'm also responsible for Marketplace

intelligence and ecosystem

collaborations that can help Drive

additional opportunity for our retailers

as well as self- everseen expand into

new use cases channels and industries

I'm based out of Dallas joined everen in

2017 to augment existing retail systems

and processes with the intelligence one

can gather from Edge AI computer vision

what I like to call instant

gratification for both operator and

shoer

taking action in crucial moments while

enhancing the experience for all I'm

excited to share ever's story and a slew

of insights with you

today I will focus on the retail

business problems we address moving to

ever's unique value proposition and

ending with how we help guide you

towards the most direct path to

maximizing shrink reduction and loss

recovery but first I wanted to start

with a short message and overview about

ever from our founder and CEO Alan

Aur everen is an artificial intelligence

company specialized in computer vision

in retail we basically link into the

video cameras and the store above the

checkouts and from there we can detect

in realtime irregular activity CCTV

cameras in the past were very not

intelligent we're about putting

intelligence into those cameras and

really breaking down the pixels and from

there taking

actions started off with four people in

Blackpool County car we're still

headquartered here but we're now 1,000

people globally back in 2008 we had the

idea 2012 we kind of had a breakthrough

where we we brought it to the Irish

Market We Grew From there in 2016

brought it to the US market and that's

where really everything started growing

exponentially and from 2016 to to now uh

that was really when the company really

grew we're working with retailers on

protecting their profits protecting

their people our technology is in a lot

of sell checkouts a lot of Staff lines

as well and it's basically protecting

the product from theft so shrink is a

big big problem out there globally it's

a hundred billion doll problem and

growing and has been growing and at a

huge rate um basically it's affecting

the EA of these big big retailers

globally and it's eating into their EA

so we there's a huge demand on ever seen

right now with our computer vision AI to

help counteract that that battle of

shrink running I think right now in

about 140,000 checkouts globally we got

massive support here locally there's a

really really good ecosystem here with

talent but but also I think a launch pad

into the rest of the world really

setting us up for an exciting

future thank you

Alan we're often referred to as the

leader in Edge computer vision AI

solutions for Global retailers with

proven results for reducing shrinkage

recovering loss and driving cost savings

all while improving customer experience

since 2008 we've been on a mission to

protect people product and profitability

our retail Heritage coupled with process

engineering Acumen sits alongside

experienced and proven inventors and

technologists that have enabled us to

see and solve critical business

processes with ethical and explainable

AI at our core we are now backed by

crossb capital a long-term investor

eager to provide support and advice with

the goal of our large-scale strategic

growth one of our key design principles

is to understand the business problem at

hand what is it that we're solving

for we approach shrink just as our

retail customer base does appreciating

that shrink can be due to theft waste

error or accident it was clear early on

that several retail systems of record

had holes in their data sets as such

when we looked at computer vision we

treated it as the ability to put eyes on

various scenes at the front middle and

back of the store and to begin to offer

the missing context to inform

intelligent action in real time in the

moments that matter the most what should

one do next today we will focus on the

front of the store and specifically the

checkout

area so how does one solve for the

hidden loss in critical retail processes

I wanted to start by revisiting some of

what we talked about as an industry when

it comes to shrink loss data according

to nrf's most recent retail security

survey retail are reporting a total of

$112 billion in losses for 2022 that is

on the average

1.6% of their total annual revenue an

almost 15% increase in shrink

year-over-year

133% of these retailers are reporting

shrink of 3% or greater and 69% of them

are still concerned about loss at self

checkout a bit lower than last year but

still enough to have 45% of them

reconsider store operating hours for

specific set of stores as a tactic to

combine this Challenge and yes while

media might be working hard to often

times sensationalize this fact when you

put all these numbers into perspective

the fact suggests that in every billion

dollars of retail sales this hidden loss

costs us between 15 million to20

million so can retailers see and solve

any of this challenge we let ever seen

we know we can both see and solve and we

would like to share with you the

how it starts by stopping the most

prevalent shrink behaviors the top

causes of loss at self checkout and

staff Lanes we have listed Seven of the

20 plus behaviors we now tackle

worldwide and we will share a few

examples to illustrate how the solution

Works starting with non-scan or skip

scan in some of our retail customers

refer to

it as Shoppers continue to choose self

checkout as part of their regular

shopping routine skip scans can often

occur when a shopper does not point the

barcode directly to the scanner or

accidentally hides it with their palm of

their hand our technology replays a

short video of the miscan helping point

out to the Shopper the item involved and

empowering them to self-correct by

rescanning the items as you see in the

video as basket sizes increased for

skull we observe the pattern of Shoppers

forgetting or leaving an item in the

basket unscanned when attempting to

close out the

transaction malicious or not the same

video will replay but this time we will

pause the transaction and call for an

attendant to come to assist allowing the

associate to quickly greet the customer

make sense of the scene acknowledge the

issue and provide the customer service

needed when and how we soft nudge sopper

versus hard stop a transaction is

completely configurable we work with our

retailers and their Associates to ensure

that this is fit for purpose and

suitable for their front-end strategy

and overall customer experience

objectives in this third video you see

an item left at the bottom of the

shopping cart something RI caught by

configuring the field of view wider to

be able to accommodate a checkout area

dedicated to transactions with a larger

unit count using a shopping

cart earlier this year we shared an

inside nugget from our Global shrink

barometer focused on this cart based

loss one of the fastest growing shrink

behaviors at self checkout and one that

doubled in

2023 car Bas loss last year account for

almost onethird of all incidents we

observed at self

checkout average items left unscanned in

the cart increase from a 1.6 to 3.8

items per incident that is over 138%

increase year-over-year

the value of those items increased 106%

to

$22.90 the loss for an average

Supermarket is estimated to exceed

$102,000 per year to put this loss into

context an average supermarket operating

12 sces will do about $600,000 in sales

in a week about 30 million $31 million a

so a year making this

$102,000 loss less than half% of their

total sales again this is only one

component of the financial model one

source of the loss of go one Behavior

not the story and its totality but with

grocery stores running on very thin

margins half a percentage point is not

something to come by easily and when we

do we take the win we also celebrate the

fact that the problem is getting harder

for those trying to steal and leaving

items in the basket as their

method we are uniquely positioned to

recover loss and drive this bottom line

impact we are now protecting over

140,000 checkout Edge points across our

Global set of retailers spanning three

continents we are driving annually over

1% of margin Improvement for this

customer

base Mike lamb vice president of AET

protection and safety at Kroger recently

shared on nrf's big idea stage that in

the absence of this technology we would

probably be in a far worse place than

what we are

today let's shift gears into how we work

and more specifically cover three cor

differentiators we designed our solution

offering around the critical mission of

protecting people product and

profitability with our Northstar being

how we offer the most direct path to

maximizing shrink reduction and loss

recovery I will take you through three

points of core differentiation starting

with how we digitize our retail process

in real time how we enable the

application of advanced analytic methods

to interact with both Shoppers and

Associates and last but not least how we

ensure continuous Improvement of our

solution set at the

edge our heritage is in retail process

engineering we see everything as a

process people fixed objects like a

skull products all compris of the

entities States and transitions involved

in a process in this video we are

sharing Shopper zero one of our first

installs illustrating to you all that

this is a specific scene from a specific

process both fluid and dynamic

each process has a standard operating

procedure in this case I pick a product

I scan a product I place it in the bag

and I

pay but we all know we often deviate

from the standard the expected the

desired and when something deviates from

the process when it is irregular as

Allan mentioned earlier we need to

understand the why behind

it so why does digitizing a process in

real time matter so much some of you

might remember when Google first showed

us the ability to identify a cat and

distinguish it from other animals after

examining a series of

photographs one of the first business

applications of this capability was used

to identify the authenticity of a Prada

bag shown on the left hand side of this

page over 700 images to be exact were

fed into an algorithm allowing one to

call a Prada a fake or a not this is

called single frame analysis I want you

to consider something when I grab any

object my cell phone for example and I

hand it over to any one of you how we

both hold it differs how that product

move from one set of hands to another

differs we realized early on that we

need to understand more than just still

images of the product we needed to know

the product in hand most importantly we

needed to know the product in

motion as you watch the video on the

right we asked our developers to share a

sequence of how our Edge computer vision

AI contextualizes what is it observing

what does it identify and eventually How

does it go about recommending the next

action to take you'll see several

components in this scene as it unfolds

the pick area the scan area the drop

area an employee and a customer all

different components I sometimes ask our

operators if I was to place you on a

swing over the skull what would you be

looking for what would you no that

matters our AI strives to learn from us

to do the exact same thing to learn when

and how to best apply game and nuds

Theory to balance between shrink risk

and customer

experience not all stores are created

equal and for that matter not all skull

Bullpen or Valley configurations are

either but everything we do takes into

consideration the risk the safety and

the customer experience and all these

different permutations it is truly a

blend of Art and

Science in box one our countermeasures

every single one of these was built for

purpose as a response to the most

prevalent shopping behaviors and

FiveFinger fraud patterns that we've

observed on a daily basis moving into

box two these behaviors were associated

to Everyday Shoppers the green actors

but also those with malicious intent the

red actors and finally the store

associates that will oversee the

cooperations we've come to know the red

actors quite well for them their

nefarious behavior is literally a risk

reward function they're like water

looking for the path of least resistance

to get away with

theft for the honest mistakes during

checkout for the green actor and the

associate alike it's all about their

learning curve with a self

checkup so through our unique

partnership we'll be able to blend these

two two curves from box two into a

deliberate effort to alter the path of

both honest mistakes and nefarious

actions how we nudge or interrupt such

behaviors will help us strategize on how

to best equip the retail Associates

responsible for sko

operations but as you guessed it it's

all a balancing act something we

definitely treat as a balancing act one

that has no scientific method or even a

best practice because at the end of the

day it depends on what you want you the

customer some of you ask us to make this

invisible to The Shopper and give them

the benefit of the down others want the

nefarious activity to be caught and

stopped on the

spot let's work through an

example let's start with the red actor

on the left all red actors have one

Mission beat the house some do it at no

regular and no regard to risk or cost

you catch those quick people quickly but

others look to you they look to

understand what barriers you've put in

place they study them and they look for

ways to overcome and ultimately beat you

at it as mentioned previously red actors

are like water at the first point of

resistance they'll look for another path

they go from doing fake scans first to

moving to product switching to leaving

items abandoned at the bottom of the

cart or they just drop items in the bag

bypassing scanning altogether as we see

in this

video our unique part ship will add

speed bumps in this road of the red

actor to alter in a very controlled

manner their harmful traffic pattern if

you may but this is not an overnight

change but rest assured you have altered

the economics of the situation the goal

is to detect the theft pattern to

recover the loss and to ultimately deter

the behavior move it away from your

store so let's move to the right to the

unintentional to the green actor that

experienced a miscan and in this case a

miscan simply by holding the barcode

away from the scanner facing up as

opposed to down skip scans Could Happen

due to bad packaging a bad barcode a

missing UPC in the system I often use my

father's first experience at sko with

his Nemesis frozen green peas the

barcode would never scan for him

originally So Soft nudging him showing

him this short GIF pointing out the

mistake offered him the opportunity to

learn over time how to best hold the

product how to handle the barcodes that

needed to be positioned optimally

against a scanner and ultimately help

him become the self-proclaimed nins

scanner he states he is now at his local

grocery

store the ability to break down behavior

and intent to ensure the how and the

when of our next best action to take is

a balancing act that's achieved through

measurement it is something that we do

with you and not to you we follow the

data and we do it in accordance with

your Shing performance and how you

compare against your peer group each day

we protect over 220 million SKS that we

see in over 22 million Shopper

transactions across our universe of over

140,000

checkouts this represents a daily

component of our Federated AI training

everen continuous learning learning

process if a human were to stack this

input to watch it it would amount to

streaming close to three centuries of

video not your typical weekend Netflix

binge is

it but all this data represents a

constant flow of global signals and

patterns of theft encountered across our

customer base we use it to update our

shrink AI models which makes us the only

outfit in town with this barometer view

of external shrink impacting your store

doors statistically relevant inputs are

securely injected real time into a

Federated AI learning framework updating

our solution with a countermeasure

ingredients necessary for you to combat

the most prevalent Global threat

scenarios being able to know how One

Compares the industry peers is

priceless and it would not be possible

if we were not the Creator and manager

of the large largest annotated retail

data set in the world we represent the

largest retail data Factory and coupled

with our shrink domain Acumen makes us

one of the most experienced partners for

asset protection safety and AI

technology application we never stop

learning and we reapply any insights

gained to The Continuous battle against

shrink so let me bring it all together

and share how these differentiators

influence the customer Journey

this is something we do with and not to

you as I said earlier it's a mutual

commitment to work collaboratively

towards offering you the most direct

path to Max shrink reduction it is not a

once andone install we don't treat this

as a tool nor as a one-size fits-all

approach rather we operate with A

continuous process Improvement mindset

the expectation of proactive value

generation

we hold ourselves accountable to your

outcomes on the one end it starts with

benchmarking you against the global

comparative data set of your grocery

peers enabling deeper insights into

various store formats banners and any

other store cluster strategy you may be

using to manage your business or review

results of key initiatives like this one

on the other hand you gain visibility

into a global retail theft barometer we

Prov provide you with a collective

Global retailer red actor activity

informing you of the most dominant risk

behaviors and labeling you to

proactively respond and deploy everseen

countermeasures fit for purpose you have

a first row seat in our product road map

you influence our solution you offer

enhancement and

suggestions always customer in and

Technology out never and never the other

way

around

quarter after quarter we will let the

Data Drive our Collective decisions we

work process people and Technology as

one to decide the sequence of

countermeasures used to

deploy this is more than simply

improving our detection ability this is

about recovery of a product that would

otherwise have left the store

unaccounted for this is about Perpetual

inventory accuracy about customer

experience all along it how you want

that experience to play out at your

registers that balance between soft

nudging a shopper to self-correct versus

an associate intervening to Aid in a

transaction is completely configurable

and always in Your Hands to

drive it's all part of what we call

Value Assurance i' ever scen the perfect

balance between shrink reduction and

customer experience

Improvement if best practices taught us

anything it is to look Beyond shrink

levels when we are determining where to

move next it is imperative that we work

together to understand how to accelerate

the speed to value of this undertaking

we promise you our speed is your top

speed we offer a few areas of

consideration when working with our

retailers all key to accelerating speed

to

Value when starting off with an

initiative like this store count is not

as important as the variety of

assortment of stores we will be testing

we look for different shrink levels

sales transaction counts and any other

key store cluster strategy you might use

to measure the impact of chains across

your estate furthermore we pay very

close attention to checkout

configuration we will look for

differences so we can understand what

might come in our way when we're rolling

out do you have a low or a high score

count what is the balance of staffed

versus self checkout Lanes what is the

ratio of a Associates the self checkout

lanes are you using a one or two bag

self checkout unit what is the

difference between your goes are there

any other front-end or store prototype

layouts and configurations that we need

to understand and align with this go

forward strategy what we're going to be

doing and like I said again the speed of

deployment is how fast can we deploy

together what is the labor allocation

what is the competitive trade area is

there any diverse geography are there

any third party implementors and

integrators that we need to take into

consideration to maximize speed to value

on that note we usually ask for the

store located closest to your CFO and

your CEO and for that matter any other

board member so they can see the impact

firsthand having them interact with the

AI talking to the store associates early

on is Paramount it helps move them from

seeing his believing to touching his

understanding and our favor why the heck

is this not in all of our

stores we hold ourselves accountable to

your outcomes we strive to earn your

trust Beyond just being Partners but

drive to be a trusted adviser on the

journey to Value Assurance pointing out

along the way what loss you can avoid

that we can ultimately and uniquely

mitigate and what gain you can achieve

that we can uniquely enable as one of

our customers put it we seek to bridge

perspectives create one voice with the

data driving towards one goal loss

recovery while unleashing the potential

of AI across your total store State I

wanted to close with sharing that we

have opened this proprietary computer

vision platform to our retail customers

thirdparty technology providers and any

other solution provider in order for

them to build their own computer vision

AI solution leveraging both our scale

and extensive reach this will enable

them to Plug and Play in isolation but

also work together to help us create an

interconnected ecosystem placing key

facts in the hands of the decision maker

on the shop floor as well as back at the

corporate home office later this year

we'll be sharing news of some of these

exciting collaborations that are already

underway until then we wanted to thank

you for your time and your consideration

of ever's unique value proposition and

we want to give a special call out and

thank you to our friends at

conversations on retail for extending us

the opportunity to continue the dialogue

on one of the industry's largest

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opportunities