Conversation Starters: Everseen
Summary
TLDREverseen, 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
- π Everseen is an AI company specializing in computer vision for retail, aiming to reduce shrinkage and improve customer experience through intelligent video camera analysis.
- π 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.
- π Everseen's technology is deployed in over 140,000 checkouts globally, providing significant support to retailers in protecting their profits and people against theft.
- π‘ The company's approach to shrinkage includes understanding the business problem and treating it as a process, addressing deviations from standard operating procedures.
- π’ 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.
- ποΈ 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.
- π₯ 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.
- π 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.
- π 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.
- π Everseen has opened its proprietary computer vision platform to retail customers and third-party providers, fostering an interconnected ecosystem for AI solutions in retail.
- π 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
π 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.
π 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.
π 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.
π‘οΈ 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.
π 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.
π 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.
π€ 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.
Mindmap
Keywords
π‘Customer Success
π‘Marketplace Strategy
π‘Edge AI
π‘Computer Vision
π‘Shrinkage
π‘Ecosystem Collaborations
π‘Federated AI Learning
π‘Checkout
π‘Loss Recovery
π‘Self-Checkout
π‘Process Engineering
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
[Music]
opportunities
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