Webinar: How AI is Helping Food Suppliers Improve Operational Efficiency & Customer Service
Summary
TLDRIn this webinar, Fres CEO James Andronis discusses the transformative impact of AI on the food supply industry, focusing on operational efficiency and customer service. The session introduces Fres's new automated order entry tool, designed to streamline repetitive tasks, reduce errors, and save time. The tool handles orders from various channels, including email, voicemail, and WhatsApp, showcasing its flexibility and potential to revolutionize the industry. The webinar also addresses AI's future in predictive analytics, data analysis, and inventory management, promising further advancements for businesses.
Takeaways
- 😀 AI, or artificial intelligence, refers to computers and machines performing tasks typically associated with the human mind, such as chatbots, voice assistants, and personalized recommendations.
- 📈 The accessibility and affordability of AI technology have significantly increased in the past year, making it more widely available to businesses beyond just large tech companies.
- 🛒 AI is particularly beneficial for the food industry by automating repetitive tasks, allowing businesses to focus on higher-value activities like relationship building and improving operational efficiency.
- 🤖 AI is well-suited for handling routine, mundane tasks that are difficult to staff for, such as night shift data entry, thereby improving the quality of life for workers.
- 📊 AI is already being used in the food industry for tasks like automating order entry from various communication channels, scanning line items, delivery routing, and enhancing customer experiences through personalization.
- 💡 When considering AI for business, it's important to evaluate if it can replace undesirable tasks, reduce costs, and handle edge cases effectively, while also considering data security and provider support.
- 📝 Fresho's new AI tool automates order entry, converting customer orders from various sources into sales orders, saving time and reducing errors associated with manual data entry.
- 🔍 The AI tool is designed to learn and adapt, with a human oversight element to ensure quality control and accuracy, which is crucial given the diverse ordering formats in the food industry.
- 🌐 Fresho AI is a standalone product that can integrate with various ERP systems, not just Fresho, making it a flexible solution for businesses of different sizes and operational structures.
- 🔮 Looking ahead, AI has the potential to revolutionize the food industry further by enabling predictive analytics, real-time data analysis for business decision-making, and improving inventory management through pre-ordering.
Q & A
What is the main focus of the webinar?
-The main focus of the webinar is to discuss how AI is helping food suppliers improve operational efficiency and customer service.
Who are the key speakers in the webinar?
-The key speakers in the webinar are Audrey from the marketing team at Fres and James Andronis, CEO of Fres.
What is the background of James Andronis before becoming CEO of Fres?
-Before becoming CEO of Fres, James Andronis was a food supplier for about 20 years.
What does AI stand for and what does it involve?
-AI stands for Artificial Intelligence, which refers to computers and machines performing functions typically associated with the human mind.
How has AI become more accessible recently?
-AI has become more accessible due to a decrease in the cost of running AI-powered tools, making it more affordable and widely available to businesses beyond just large tech companies.
What are some examples of AI in everyday life mentioned in the webinar?
-Examples of AI in everyday life mentioned include chatbots like Chat GPT, Siri, and Amazon's Alexa, as well as personalized recommendations on platforms like Spotify and Netflix.
How does AI benefit the food industry?
-AI benefits the food industry by automating repetitive and mundane tasks, allowing businesses to focus on higher-value activities and improving the quality of life for workers.
What are some ways AI is being used by food suppliers to improve customer service and operational efficiency?
-AI is being used in the food industry for automating order entry, scanning line items for purchase, optimizing delivery routes, and enhancing customer experience through personalized product recommendations.
What factors should businesses consider when adopting AI?
-Businesses should consider whether AI can replace unwanted tasks, its cost-effectiveness, setup requirements, data security policies, and the ability to handle edge cases.
What is an 'edge case' in the context of software development?
-An 'edge case' in software development refers to a problem or situation that falls outside of normal procedures, essentially testing how software behaves under unexpected or rare conditions.
How does Fres's new AI tool handle different types of customer orders?
-Fres's new AI tool automates order entry by capturing orders from various sources like email, voicemail, text message, and WhatsApp, and converting them into sales orders, with a human oversight element for quality control and continuous learning.
What are some examples of edge cases AI might encounter in the ordering process?
-Examples of edge cases include orders with unclear product names, missing venue information, missing delivery dates, and cancellations or changes to existing orders.
How does the AI tool handle voicemail orders?
-The AI tool listens to voicemails, translates them into text, and turns them into sales orders, handling even complex accents and non-standard language use.
What is the current capability of the AI tool in handling orders with images?
-The AI tool currently does not read images to an acceptable accuracy level, and handling images is a feature planned for future development.
Can the AI tool be used as a standalone product or does it require integration with Fres's ecosystem?
-Fres's AI tool is a standalone product and does not require integration with Fres's ecosystem, though it can be used in conjunction with Fres's system for a seamless workflow.
What is the potential future of AI in the food industry according to the webinar?
-The potential future of AI in the food industry includes predictive analytics for demand forecasting, data analysis for business improvements, and inventory management with pre-ordering capabilities.
Outlines
🤖 Introduction to AI in the Food Industry
Audrey from the marketing team at Fres introduces the webinar, which focuses on AI's role in enhancing operational efficiency and customer service in the food supply industry. James Andronis, CEO of Fres and a former food supplier, joins the discussion. They highlight the growing accessibility and importance of AI, mentioning common AI applications like chatbots and personalized recommendations. James explains AI's potential to automate mundane tasks, allowing for more time on value-added activities, and emphasizes the current limitations of AI in complex tasks requiring human behavior.
📈 AI Applications in the Food Industry
The discussion moves to how AI is already being applied in the food industry, including automating order entries from various communication channels, scanning line items for purchase, optimizing delivery routes, and enhancing customer experiences through personalized product recommendations. James stresses the importance of considering whether AI can replace undesirable tasks, its cost-effectiveness, setup requirements, data security, and ability to handle edge cases when adopting AI in business.
🛠️ Demonstrating Fres's AI-Powered Order Entry Tool
James introduces Fres's new AI tool designed to automate manual order entry, reducing time and errors associated with data entry. The tool processes orders from emails, voicemails, text messages, and WhatsApp, converting them into sales orders. A human oversight element is included for quality control and continuous learning. The AI's performance is quantified, indicating an average time saving per order, highlighting its suitability for repetitive tasks and its impact on efficiency and error reduction.
🚀 Launch and Features of Fres's AI Tool
The webinar covers the launch of Fres's AI tool, which is currently being rolled out and available for interested parties. The tool's pricing is presented as a cost-effective alternative to manual order processing. It offers flexibility in operation, allowing it to work during specific hours or for certain customer groups. The AI can be programmed to handle various ordering channels and can be linked with existing ERP systems. The tool is designed to be user-friendly, with free training and setup support provided by Fres.
💬 Addressing Queries and Future AI Prospects
The session concludes with a Q&A segment where various questions are addressed, such as the AI tool's ability to handle non-English speakers, its flexibility in programming for specific customer groups, and its approach to handling orders with photos or prices specified by customers. James also shares his vision for future AI applications in the industry, including predictive analytics, data analysis for business improvements, and inventory management. The webinar ends with an invitation for further inquiries and a promise to send a recording of the session.
Mindmap
Keywords
💡AI
💡Operational Efficiency
💡Customer Service
💡Automated Order Entry
💡Data Security
💡Edge Cases
💡Chat GPT
💡Voicemail Translation
💡Predictive Analytics
💡Inventory Management
Highlights
Introduction to the webinar on AI's role in improving operational efficiency and customer service for food suppliers.
James Andronis, CEO of Fres, shares his 20 years of experience as a food supplier and insights on AI.
AI's definition and its prevalence in everyday digital products like chatbots and recommendation algorithms.
The recent shift in AI technology's accessibility, making it more affordable and widespread.
AI's potential to automate repetitive tasks, allowing for increased focus on higher-value business activities.
Examples of AI in the food industry, including order automation and personalized customer experiences.
Considerations for businesses looking to adopt AI, such as cost, setup, and data security.
The concept of 'edge cases' in software development and their relevance to AI in handling unique customer orders.
Demonstration of Fres's new automated order entry tool, showcasing its ability to handle various order formats.
How the AI tool learns and improves over time with human oversight and feedback.
The benefits of AI in reducing manual data entry time and errors in the order process.
Fres's AI tool's flexibility to work with different customer groups and order channels.
The future possibilities of AI in the food industry, such as predictive analytics and inventory management.
The AI tool's ability to handle accents and the potential for multi-language support in the future.
Information on the AI tool's pricing and how it compares to manual order processing costs.
The AI tool's availability and the process for businesses interested in adopting it.
Final Q&A session addressing questions about the AI tool's capabilities and integration with existing systems.
Transcripts
hi everyone thank you so much for
joining us today uh today's webinar
covers how AI is helping Food suppliers
improve operational efficiency and
customer service um just by way of
introduction my name is Audrey I'm part
of the marketing team at fres and today
joining us we have James andronis who's
CEO of fres and before starting for a
show he was a food supplier for about 20
years he everyone it's great to be
here um just as a few people uh trickle
through uh today we'll cover what's
happening with AI in the industry um if
you're thinking about AI for your
business what you should consider and
really exciting we'll also cover
fresher's new automated order entry tool
um we've also got a Q&A session after
this so if you look at the bottom right
of your screen I believe there is a
question tab uh please submit questions
anytime during the webinar um they are
Anonymous so please don't be shy um and
if we don't get around to all of them at
the end of today's session we'll be able
to answer them after this um it's also
being recorded so we can share a
recording of this session with you
afterwards uh cool there's a lot of
people that has joined so uh let's get
started um so first off James what does
AI mean in the first place okay so in
simple terms AI or artificial
intelligence really refers to computers
and machines performing functions that
we normally associate with the human
mind so without knowing it we're all
exposed to AI regularly in our everyday
lives I'd say most people here would
have heard of chat J GPT or uh Siri or
Amazon's
Alexa you might even have received a
recommended uh playlist on Spotify or or
movie suggestion on Netflix so each of
those digital products are using a form
of AI to optimize the customer
experience without even um the customer
knowing right when you think about it
I've probably integrated AI into my
everyday life so much and without even
knowing it's amazing um why has it all
of a sudden become so present or
important for us right now yeah it's a
good question Audrey um I think what's
happened is there's been a really big
shift in the accessibility of of AI so
until recently AI powered tools were
really only available to the big tech
companies because they were the only
ones that could afford to run the
hardware and the software
teams required for these big AI systems
but in the past 12 months AI
Technology's reached an inflection point
where it's become so much cheaper to run
and therefore more widely accessible and
now uh you know we're seeing anyone can
log into chat GPT and use it to help r
emails as an example uh lawyers are even
using it to write documents and
contracts that's a pretty scary thought
uh and businesses can use it to automate
their their customer orders as well so
it's it's really progressed a lot and
become a lot more available and now that
it has become a lot more accessible um
the people who adopt AI early like with
any technology are getting an immediate
Edge or or leg up against their
competitors in terms of efficiencies
speed margin
and so for us or the fresh food industry
in particular what does AI mean uh well
firstly having been a supplier
previously I never thought I'd be
talking about uh AI in our industry in
the food industry it's quite incredible
how quickly it's evolved uh so I guess
AI is really about using technology to
help do the jobs that you don't want to
do and that means Prov you know making
more time for you to spend on things in
your business that you want to be doing
or you should be doing so from a
business perspective imagine having more
time to build relationships with uh key
accounts and customers instead of doing
routine admin tasks and from a personal
perspective it means more time at home
and and with your family and for
yourself so right now ai isn't going to
solve problems that require complex
human behavior such as account
management or sales uh but it is ideal
for repetive itive mundane tasks
particularly those that are hard to
recruit for or hard to retain staff for
um things like night shift data entry a
really good example of where AI can have
a big impact in the industry right when
you put it that way there's so many ways
that AI could help improve quality of
life uh both at work and personally as
well um what are you aware of at the
moment that's happening in the industry
how are Food suppliers already using AI
to improve customer service
or their operational efficiency yeah
we're already seeing AI being used in a
growing number of areas and across a
number of tasks in the industry uh
things like the automation of of
entering orders that come via email
voice message text message even WhatsApp
um and we we'll demo this in in a minute
um to to show everyone what we're
talking about uh also seeing it with um
automatic scanning of line items for
your supply purchases so
um I guess it's another area that it's
being used um uh to to scan that data
and to to bring that into into systems
and then there's delivery routing
systems I'm sure there's some people on
on the call uh today that that are using
delivery routing systems a number of
those are AI powered and we're also
starting to see it to enhance customer
uh experience which is a bit like that
NE Netflix and Spotify example I spoke
of earlier um things like offering
personalized uh more more enjoyable
experiences for for your customers by
recommending products based on order
history or or their preferences all the
time of year and also automating other
repetitive uh tasks which can lead to
quicker deliveries and improved customer
satisfaction so we're seeing it really
across the board now right you can see
how AI would very quickly become an
indispensable tool for Food suppliers um
for those that want to be an early
adopter or think about AI eventually for
business uh what do they need to
consider yeah it's a great question um
some some definite things to consider
would and some questions to ask would be
things like you know does it achieve its
purpose of replacing the jobs that
people don't want to do so that your
team can can focus on on other areas
that deliver more value for your
business is it significantly lower cost
than than doing those tasks manually um
what does the setup look like and is is
your time required because these these
AI systems need
training um what's the providers
approach to to data security we know
that information privacy and data
breaches are really serious concerns in
this day and age for businesses so
providers should have a policy around
around
security uh and it's always important to
understand if the software can handle
edge cases uh that will likely arise
based on customer behavior and we're in
the food industry so there's there's a
whole range of customer behavior and and
definite edge cases that need to be be
considered I actually didn't know what
edge cases meant until recently for
those who don't know what does that mean
yep so in in the software development
industry an edge case is is a problem or
a situation that falls outside of normal
procedures so it's essentially when you
test for an edge case you're really
checking to see how the software behaves
under an unexpected or rare condition
that makes sense so uh what are some of
the scenarios that AI might have to deal
with just for let's say the ordering
process yeah I mean as everyone would
know on this call can be pretty complex
when you when you think about it in
terms of uh of orders and and I'm sure
everyone's experienced the frustrations
with with customer orders at some stage
um I guess some some examples of what AI
has to deal with you know a chef who
calls a product by a different name uh
or when a chef doesn't include their
venue name in a message that's always a
beauty um to try and understand where
they're from or figure out where they're
from also when there's no date on on an
order uh does the AI put the next
delivery date or or something else
depending on the rule that's created uh
also I guess uh when a customer places
an email order a good example would be
you know if they've got 20 products in
the order and then an hour later they
forward the same email asking for one of
those products to be cancelled you how
would the AI deal with that that
scenario so these are just some of the
the edge cases that the AI needs to deal
with with uh customer
orders right you can see how knowing I
guess the nuances and common issues and
ins and outs of daily processes plays a
big role because I guess the ai ai would
have to be able to identify edge cases
in the first place before knowing how to
effectively handle them I guess yeah
that's right um all right how about we
see fresher's new AI tool and how it
works but uh F can you please tell us a
little bit about it sure so in in simp
simple terms fresho new AI tool
automates one of the most timec
consuming processes and and error prone
tasks in uh in food businesses and
that's manual um order entry what it
does is it receives and captures uh your
customer orders that come in via email
or voicemail text message WhatsApp and
turns them into sales orders and this
this just eliminates the completely
eliminates the manual input part of the
process so you don't have um to have
someone entering those orders in and
there's there's no dealing with last
minute sick days or or annual leave you
know the AI just doesn't take time off
and doesn't get sick it just keeps going
all the time so uh we've got great data
on on performance uh today and and so we
can we can put some numbers on it you
know at the moment you see on average it
saves about three minutes per order in
terms of data entry so if we multiply
that out by you know as an example 500
orders a week or however many orders
people might do that's a lot of hours
saved um when you tally that up and
that's the type
of um task that is is ideal for for for
AI because it's so
repetitive it also reduces errors
because um you know it doesn't forget or
get get tired and and make mistakes it's
always on a consistent level so um once
it's been taught it it doesn't make the
same error again which is um which is
which is really I guess the difference
between um the human manual way of doing
things so yeah I mean the food in
industry is really different to other
Industries so there's so many variations
with ordering and there isn't a standard
format with how orders come in as as we
all know so to overcome this we're
adding a a human oversight element to
the AI and that's that's mainly for for
quality control um and to teach it um as
it goes so this means that you know
whilst you're sleeping you've got the
confidence and peace of mind knowing
that the uh the accuracy is as high as
possible with the with the orders that
are coming through so we've got someone
from our team that reviews the AI output
um and make sure that that its accuracy
is correct and he's teaching it along
the way um so also means that there's no
commitment from your side um to train
the AI which is a really really big
piece of work so we do that we do that
for you so probably at this point best
if we jump in and uh and have a look
under the hood and show every on how it
works so uh people will be familiar with
fresho this is uh a new screen and you
can see it's got a source column here
we've got Marketplace orders and we've
got AI assisted order entry um orders
that have come in here uh we'll show you
this is sort of the inbox that we call
it magic type of inbox um and these are
the orders that are coming through and
they've got a status on them in terms of
how successful they've been read by the
AI we'll go into a few examples and and
and have a good look at what it does um
under the hood so here we've gone in
we've seen the first order that's come
in it's a PO um from taste bud Delights
it's all the products down here the AI
on the right hand side here has picked
up the correct customer all the correct
details dates all the correct products
and quantities so that's 100% accurate
and that just goes straight through next
order that's come through again just an
example we've got a PO um it's got
salmon fillets written down here the AI
has picked up as a first first go at it
salmon Stakes but it's highlighted that
it's not it's not sure that whether
that's right or or not so it's telling
us that that needs to be uh reviewed we
can come in and say no it's not salmon
Stakes so we're going to select salmon
fillets when we're teaching it it then
asks us do you want to create a rule to
always associate salmon Stakes with
salmon fillets we can say yes across the
board or we can say only for this
customer or we can say no whatever we
choose there next time this happens the
AI will has automatically leared that
and it won't make that that mistake
again so we'll just click yes for now
and that's successfully made that rule
everything else was correct so we can
submit and move on to the the next order
this one's slightly different not a PO
it's a uh it's an email that's come
through free text email um you can see
they didn't say where they're from uh
the venue in the email and the body of
the email here but the AI is picked up
from the uh email address uh the the
customer that it belongs to it's got all
the correct products and quantities so
that's that's 100% accurate
there uh this is an example of one that
is not an order so again AI can pick
that up it hasn't put any products in
and it's recommended that this is marked
as no order so it would go back into the
inbox for um you or your admin team to
deal with customers asking what time is
the earliest they can get a delivery on
Friday go to the next one again another
free text order um you can see here it's
picked it up all 100% correct so that's
that's a great result and then this
where it gets a little bit interesting
this is voicemail it's quite amazing uh
it listens to the voicemail translates
it into free text as you can see on the
left hand side here and turns it into a
sales order um in this example it's got
everything correct but uh the venue has
ordered something a product that isn't
um in our product range uh or or isn't
something that you've sold before so
there's no history of it um what what
that'll do then it's it's had a go at it
and it said rusted potatoes it said it's
suggested is that Desiree potatoes we're
going to say no it's not and then what
it will do we'll make that into a
miscellaneous item uh and it'll put a
note underneath for your Pickers or for
for someone in admin to to change it or
to decide what to do with it and it said
it'll say one box of rusted potatoes
which has been ordered so um again that
just that just got everything else 100%
accurate um but it's amazing that it
does the voicemail as well um into into
free
text then we'll come back to the the uh
the orders tab in in fresho and all of
those orders that have gone through the
AI would just be sitting in your um
magically sitting in your your orders
tab um as approved orders that have gone
through ready to be processed and picked
and packed for the day it's really as
simple as that uh quite amazing um how
efficient that it is amazing all right I
imagine some people might be wondering
about the launch of this AI Tool uh some
fresher customers are already using it
is that right uh yeah that's right um
we've ' got quite a few uh customers
already using it um so far it's it's
been amazing some of the results
obviously there's a learning process
with the AI but um it doesn't take very
long at all all all of the customers
that are using it are loving it U the
feedback that they're giving is enabling
us to um to to build it out further and
to keep improving it we've got a whole
development team um focused on this in
Australia um locally based and the
team's built this out and they'll
continue to build this out um over the
years to come so this is something that
we've invested heavily in and we'll
continue to do that um fantastic and for
those who are interested what else is
there to know well I think we we spoke
about pricing a little bit um uh before
as a consideration so uh really what it
means is with with the automation that
you get here and and the investment that
that we've made as well it it means that
it's cheaper than the manual alternative
so that's that's something to to to
really consider um from the setup
perspective
there there's free training and then we
do all the work um with you to agree on
the on the edge cases but then we train
the system so um it's it's quite a it's
quite a simple process to get it up and
running there's also a flexible approach
the AI can work in in shifts if you just
say you know we just want the AI on
between 8:00 P.M and 3:00 a.m or
something like that then then that that
that can be arranged um or maybe just on
the on the week weekends or even just
for certain uh groups of customers you
might want to start um it's really
flexible and it can it can be applied in
that instance uh it's a new technology
so we understand that that support's
necessary and uh we provide that awesome
all right um so we've got a bit of time
to go through some questions uh there's
already a few that have come through so
first off we have Dave when is this
rolling out for everybody good question
Dave uh we're starting to roll this out
now so this is um this is is available
if anyone's interested please reach out
contact us we can um we can talk to you
about it give you a demo and and talk
through how to get it up and running but
basically we're rolling this out as of
now fantastic and then Hayden's just
asking what about the customer not
speaking English clearly on the phone
it's a good question we've had quite a
bit of fun with this uh in in the office
and and some good laughs listening to
some of these examples but there there
is a way or or the AI can listen to more
than one Lang and translate it into
another
language you know AI is is really um
it's limited with its languages uh at
the moment so we haven't we haven't
released this feature but it's it's
something that's on the road map again
we don't see this very often I think
what we do see is um lots of examples of
really heavy accents um or um a bit of
mixed pigeon English and and the AI um
has been great at picking that up it's
quite incredible some of the some of the
accents that it's picked up um so you no
issue with with accents but language is
is probably an iteration that's St the
track um from Sarah can you program what
customers or emails will be picked up or
is it all or
nothing uh no that that's that's a great
question and that's part of the flexible
approach so you might have um just one
customer group that you might get 20 POS
from a night and you want to start with
that and see how it goes that's what we
can arrange and and that's um that's
what the AI can do we can just program
it to just work on those those specific
customers as a starting
point uh so for Matt um they've got a
few channels that customers order
through like the owner's phone email
fresher and a warehouse answering
machine so would this be a module that
we add on to capture all this or do we
redirect customers through
this yep so we we can handle all of that
um our implementation team um get
involved once once we go ahead uh and
we'll talk with you guys about how to
get that um all into one place we we've
set that up we've done that with some
suppliers that are um you know text
message going to multiple people in the
business from different customers uh
fresho um answering machines emails so
we it all gets collated into the AI tool
and pushed into the AI tool and then um
the output pops up magically in fresh as
a as a sales order so yes we can handle
that great and from Melissa do we need
to link a specific orders email address
to freser and how does it link
voicemail the um the current process
around that is that the AI will will
will process all emails that come into a
dedicated fresho AI inbox um the orders
can get into that inbox in many ways um
and auto forward our team or um in
conjunction with with the suppliers team
uh set up um set this up from the from
the suppliers inbox and it can include
uh voicemails that come through as well
you can set that up now for voicemails
to come through to to as an email so um
that they'll all get collated and as I
said earlier you can select only certain
uh customer types or or certain customer
groups if you want to start with that as
well so it's quite flexible with how it
works and from Lanna how does the AI
cope with a photo of an order written on
an order
pad it's a good question as well we
don't see a lot of that um at the moment
we've only seen that in in a few
instances uh the AI currently doesn't
read images um to to an accuracy level
that we'd be happy with so it's one of
the more difficult uh things to
interpret this is definitely on the list
uh and we're aiming to to be able to do
this down the track for sure cool and
then from Dave if customer sends through
a PO with prices does it pick up those
prices and update or use the pric prices
set in fresher already it's a good
question uh probably saw that in the uh
in in the demo there uh so with the
current iteration fresho is the is the
source of Truth in terms of the pricing
that are there and the Assumption there
is that that suppliers decide what they
charge their customers not not the other
way around what comes true on a on a PO
or an or a free text email obviously
this this some exceptions to this and
it's something that we're we're we're
working on and and looking at because
there are edge cases around this we we
realize that there are some suppliers
with large groups that might might
dictate prices as as an example and that
they just want to want to go ahead with
whatever price is on the PO so we're
working through that now and um and
taking that into consideration for uh
for future uh
development okay and from Sophie is fres
AI a standalone product or part of the
whole fres eco system uh fresho AI is is
a standalone product outside of of
fresho so it can you don't need to be
using fres o uh to be using fresh o AI
um but we've got you know plenty of
supplies that use fresho and then it's
just a Bolton attachment to that and the
orders flow through to Fresh o um but
we've also got other suppliers that use
their Erp system and fresh o Ai and it
just just um converts the orders into
sales sales orders into their their pay
system um that's all the questions so
far I guess one last one uh James what
about the future where do you see AI
potentially taking
us I think uh the mind boggles with what
AI could be used for in our industry in
the future um in the short term it's
really about focusing on those
repetitive tasks that um that that we're
talking about like the order entry but
it could certainly move to more complex
tasks in the future things like
Predictive Analytics that can can
forecast demand from your customers uh
based on historical sales and and um and
different factors like weather and
things like that um another one could be
data analysis uh and real time
information about certain actions that
you could take to improve margins in
your business so things like you know
picking rates and error rates or or not
available items um delivery rates diot
margins uh you know on different
products it could aler send alerts and
and and advise what you need to do in
those instances based on customer
purchasing behavior um and another area
where AIS uh could be really well suited
for is is Inventory management and
pre-ordering of your your purchases so
um that's that's something that we think
uh that will be quite effective with
AI awesome all right um oh we've got one
last another question we actually got
two more coming through Melissa when
will pricing be
available uh we can pricing available
now we we can talk to to you about that
on an individual basis if you contact
us cool and then there's Craig as well
also asking does the cost of this work
for a smaller business with 50 to 100
orders per week absolutely this tools
designed for every business in the food
industry awesome thanks um I'm sure
there's going to be a lot more questions
so if you have any or you are interested
please just email us at hellofresh.com
um
that's it thank you so much for joining
us today um it's been great to have you
and we'll send a recording of This
afterwards thanks everyone thank you bye
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