July 24, 2024 • 23 mins
Have you ever wondered how AI could revolutionize your small business operations? Strap in for an enlightening episode of AI Cafe Conversations, where we uncover the latest in AI trends and their practical applications. Learn how recent IT outages underscore the crucial need for human oversight as we integrate AI into critical sectors like transportation and healthcare. We dive into LinkedIn's new AI-driven engagement strategies, Google's exciting AI features poised to debut at the Paris Olympics, and OpenAI's audacious plans to develop its own AI chips. Plus, if you're a small business owner, you'll get actionable tips on using AI tools to create compelling branding stories and an overview of ChatGPT's new negotiator feature to craft effective negotiation messages.
Ready to transform your customer service and operations with AI? Discover three game-changing strategies: Mind Reader Mocha, Chameleon Cappuccino, and Efficiency Espresso. We'll guide you on how to use predictive analytics to anticipate customer needs, personalize marketing efforts with a robust customer database, and optimize your operations by identifying inefficiencies through AI-driven solutions. Each strategy is broken down with actionable steps and specific prompts, ensuring you can implement these cutting-edge tools effectively and unlock hidden potential in your business. Grab your favorite mug, and let’s brew up some transformative ideas for your business!
Please comment, like and share the podcast
If you have any questions, please email me at: sahar@saharconsulting.com
Thank you, The Neuron,
#AIforBusiness #SmallBusinessTech #BusinessEfficiency #AIInventoryManagement
#SmartScheduling #AIAccounting #WorkflowOptimization #MarketTrendAI
#SeasonalBusiness #DynamicPricing #BusinessAutomation #AIInsights
#PredictiveAnalytics #ProjectManagementAI #TrendForecasting #aiwhisperer #customerservice
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:13):
Hello, hello and welcome to the AI Cafe
Conversations.
I'm your host, sahar, your AIwhisperer, and today we are
peeking behind the counter touncover the AI baristas secret
menu.
Grab your favorite mug andlet's brew up some hidden
potential for your business.
(00:35):
But, as usual, before I go intothe context of what our podcast
today is about, I always sharethe news.
What happened this whole weektill today, wednesday, july 24th
?
You know what happened duringthat because, as we know, ai is
moving at the speed of light.
(00:57):
Unless you live under a rock,then you haven't heard about the
biggest IT outage in history.
That happened last week Friday,thursday and Friday and what
happened is that airlines got,flights got cancelled, a lot of
restaurants could not deal withcredit card payment, that's,
(01:21):
they had only to do cash.
Actually, my favorite cafeplace was closed due to that.
So what does it do?
Why should we care about that?
We should care about thatbecause when there is a single
point that fails right, like ifsomeone is doing an update, for
(01:45):
example, like in this case, itwas crowdsourced and it goes
wrong it doesn't only affectthat company, but, as we saw, it
affected everybody, and itaffected everybody at the same
time.
And why should we care when wetalk about AI?
(02:05):
So let's talk about AI.
In five to 10 years, it will beas important or crucial to our
daily life as our laptops andand Microsoft is now.
We saw this kind of outagehappening in 1995 or 96, I can
(02:29):
remember but it wasn't as badbecause we did not really depend
on laptops and PCs that much.
But now we saw what it could doand with AI coming, when
everything is gonna beintegrated with AI, specifically
that Microsoft cloud serversare now using AI then if an
(02:54):
incident like this happened, theoutage can be maybe six, seven,
10, 12 times more than Friday'schaos and fiasco.
And that's why we need to bevery careful when we deploy or
(03:15):
use AI in vital places likehospitals, like transportation,
like we saw what happened intothe airline justice, even
military, so we need to becareful with that.
We call it AGI or artificialgenerated or generative
(03:37):
intelligence, and again thatmeans something.
That means something verycrucial here that removing human
beings is not in the short term, it's not in the courts,
because removing humans from theloop entirely can actually be
disastrous, and so that's why,no matter what and we don't know
(03:59):
what's going to happen in thefuture.
No one can know what's going tohappen in the future, but so
far humans are more intelligentthan ai.
Hopefully it will stay that wayin another uh word linkedin
plans to use artificialintelligence, uh to make its
platform basically a daily habitfor users.
Uh, using gamification as well.
(04:21):
Um google I mean we're gonnasee gemini in the from friday uh
because google is sponsoring uhthe paris olympics and team uh
usa on um nbc and it's gonnapromote ai features, google
MapView, ai Overviews and Circleof Search.
(04:46):
In other news, gpt-4.0 Mini iscoming and is being released to
some people now, when actuallypeople were waiting for GPT-5.
I have to try it and then comeback with comments, but I just
wanted to let you know that it'shere.
(05:07):
Open AI also.
Chad GPT decided not to dependon anybody and just do start
building their own AI chips.
It's not going to happen rightaway, but this is the work in
their plan, because they don'twant to depend on someone like
NVIDIA.
You know, and see the thecompetition taking advantage of
that.
So they're going to be creatingtheir own chips.
(05:29):
It kind of worries me because Idon't want to see um some kind
of own ownership or just one um,one company doing everything,
but, at the same time, I dounderstand their concern.
So, as far as as tools to helpyou, you know, as a small
(05:49):
business since today we'retalking about small business and
its usage of ai we all need astory, right, a branding story,
and a branding story is where weact as the guide, you know, for
, uh, for our customers.
The start of the story isalways the customer.
So we need to build thebranding story and it has to
(06:10):
have some elements, and theelements is how to take them
through your journey, to see howyou transform yourself from A
to B, to give yourselfcredibility and to show them the
transformation that you wereable to do, that you can offer
it to someone else.
So a prompt for that and I'mbig on prompt engineering, as
(06:32):
you know, and prompt chainingyou can saw, you can say, as my
content creator and brandingspecialist, right, a bio in form
of a story, using the hero'sjourney framework that follows
(06:56):
you and you have, you will copyand paste your bio in there.
You know that got you from a tob, or got you from ordinary to
extraordinary, throughchallenges and obstacles, till
you achieve the results and thesuccess that you have in your
life.
So first you assign a role forit and you have to give it a lot
(07:22):
of information.
Like you want a story, you wantto be the hero in it how you
went through challenges andproblems and obstacles and how
you became successful at the endof the way.
Make it and you can add, makeit emotional, make it simple,
(07:49):
the end a short story that youcan use as bio to attract and to
make that connection betweenyourself and your client.
(08:10):
Chat GPT and to be very honest,I don't know if it's available
on the free chat GPT, but I haveit on my paid chat GPT it has
something on the left column, onthe top, called negotiator.
So what you can do with that islike you can actually go and
sign into your account and clickon negotiator and then put
something that what do you wantfrom it?
(08:31):
Like you can have it, give youinformation about any kind of
negotiation message that you arelooking for, and once you get
that message, you can basicallyshare it with someone else if
you are, email it or learn it byheart, so you can use it, for
example, to negotiate proposals,prices, business contracts and
(08:54):
even more.
But again, it's very importantfor me to say that my advice on
that, or even chat GPT, is not asubstitute for professional
legal advice.
Whenever you have contracts orwhatever, please consult a
lawyer for that.
I am not a legal professionaland I am not a lawyer, so I'm
not.
I cannot give you legal advicehere.
(09:16):
Ok, going back to today's ideatoday is AI barista secret menu,
unlocking the hidden potentialin your business potential in
your business.
So what I'm doing is that I'mgiving you the secret menu and
the secret recipes on how to useAI for your business.
I'm going to share sixdifferent secrets with you, but
(09:39):
I am going to divide it into twoparts three in this episode, in
this podcast, and three in thenext one.
So the first secret menu is theMind Reader Mocha.
The second one that I'm goingto share today will be the Mind
(10:00):
Reader Mocha is our first one.
The second one is our ChameleonCappuccino.
The third one is our efficiencyexpresso.
The fourth one is trend spottertea.
The fifth one is innovationiced tea and the sixth one is
(10:23):
feedback frappe.
Like I said, this episode isgonna run into the first three
mid mind reader mocha, chameleoncappuccino and efficiency
espresso.
And what I'm gonna do.
I'm gonna share with you whateach one means and what actually
the prompts that you should usefor each one of them.
(10:44):
So first up on our secret menu,like I said, is the mind reader
, mocha.
Imagine a coffee that knowswhat you want before you do.
That's what AI-poweredpredictive analytics can do for
your customer service.
Here is how you wipe up thisspecial blue Number.
(11:05):
One start with your customerdata that's your base expresso.
To add a shot of AI analysis toidentify patterns in customer
behavior.
Three sprinkle in somepredictive algorithms to
anticipate customer needs.
For top it off with proactiveoutreach and you might tell me
(11:28):
what, what does that mean?
What would I do with that?
So let's go through it step bystep.
Step one you need to gather thecustomer data prompt and how you
do that.
Again, you start with the roleas my marketing consultant.
Consultant list all availablesources of customer data in my
(11:57):
business, including, but notlimited to, purchase history,
website interaction, customerservice logs and survey
responses.
That's the first step, which wecall customer service.
To go to the analysis afterthat, or to analyze, identify
the customer behavior.
This is the prompt that youneed to put again, as above, as
(12:18):
per above, analyze the collectedcustomer data to identify
common patterns and trends asfrequency of purchase, types of
product or service most oftenbought, common customer service
issues, peak times for customerinteraction present the top five
(12:42):
most significant patternsdiscovered.
The third step is how we can dosome prediction algorithms.
How we can do that, how we canprompt it we always need to do
prompt chaining, meaningconnecting it to the one before.
So, as per above, and based onthe patterns identified, suggest
(13:04):
predictive algorithms thatcould anticipate customer needs.
For each algorithm, provide abrief explanation of how it
works, the specific customerneed it could predict and the
data it would require tofunction effectively.
(13:25):
For the fourth step, which isdesigning a proactive outreach
strategy, the prompt, then, toenter again as per above develop
a proactive outreach strategybased on the predictive
analytics, including triggersfor outreach, appropriate
(13:49):
channels of communication likeemails, texts, in-app DMs,
personalized message templatesfor different scenarios, a
system for tracking theeffectiveness of these proactive
measures.
And then to implement the wholeplan.
(14:09):
The prompt that you need toenter is as per above create a
step-by-step implementation planfor this predictive analytics
system that include necessarytools required team members, a
timeline for rollout, potentialchallenges and solutions,
(14:32):
methods for measuring success.
The last one, how to continue toimprove.
You often need to review it,update the algorithms, have
metrics, because what you canmeasure doesn't exist.
By using these promptssequentially, you can guide your
AI system or team through theprocess of setting predictive
(14:56):
analytics for customer servicefrom data that are already
gathered.
So this is what we do, and whatdo you get out of that?
You're reaching out tocustomers with solution before
they even realize that they havea problem.
It's like being a psychicbarista who knows exactly what
drink will make their day better.
(15:17):
The next one is Chameleoncappuccino.
This shape shifting drinkadapts to every customer's taste
.
Ai can personalize yourmarketing.
So the first thing to do is howto start with the robust
customer database that isbasically your coffee.
Then you make sure you segmentit, then you froth up some
(15:41):
content generation algorithmsand the final step is sprinkle
each cup with personalizedrecommendation.
How do we do that?
The prompt for creating thatcustomer database is to start
again with the role as my marketanalysis strategist create a
(16:02):
comprehensive list of customerdata points to collect,
including demographics,psycho-demographic purchase
history, browsing behavior onyour website, interaction with
our marketing emails, socialengagement, and then you do the
(16:26):
segmentation prompting.
The second prompt based on above, using the customer data
collected, develop an ai poweredsegmentation strategies.
So here you enter the variablefor segmentation, appropriate
algorithms like clustering orhierarchical clustering.
Determine the optimal number ofcustomer segments that you have
(16:49):
, and please don't have morethan two.
Describe the characteristic ofeach marketing strategies that
you have In order for you togenerate content.
The for that is, as my contentcreator design a content
generation system forpersonalized marketing.
So list types of content to begenerated, like email subject
(17:13):
lines, product descriptions,social media posts.
Identify key input, likecustomer segment, past
interactions or currentpromotions.
Have examples of how thegenerated content should differ
by your customer segmentation.
And propose to have a method toensure brand consistency across
(17:39):
the content.
This is a great way to start.
And then how to implement allthat.
The prompt for that based onabove, create a plan to
implement and integrate thispersonalized marketing system,
suggest tools, suggest steps,propose a timeline for rollout,
(18:03):
identify challenges andrecommend training to use that.
And always look at your KPIsand make sure that you follow
progress on that.
Again, when you follow theseprompts, you can guide the
development of a comprehensiveAI personalized marketing system
while building your customerdatabase.
(18:24):
The third and last tool that I'mgoing to give you, or prompts
that I'm going to give you today, is what I call the efficiency
espresso.
This potent shot superchargesyour operations, cutting waste
(18:57):
and maximizing resources.
So one, grind up your operationdata.
That's your coffee beans.
Use AI algorithms to extractinefficiency points to collect,
including production andservices, delivery times,
resource utilization, employeesproductivity metrics, quality
(19:20):
control, customer wait line fordeliveries, inventory, turnover
rates, equipment downtime andenergy consumption.
Then you can extract theinefficiencies and the prompt
for that.
As per above.
Develop an AI driven analysisplan for the operational data.
(19:43):
Suggest appropriate machinelearning algorithms for patterns
.
Define KPIs.
Create a list of potentialinefficiencies to look at like
bottlenecks.
Design a system to correlatedifferent data points for deeper
insight and propose methods todistinguish between normal
(20:06):
variation and actualinefficiencies.
The third part, which is brewunder the pressure of real-time
analysis design an alert system,so specify the frequency of
data analysis.
Make sure that you create thethreshold levels for your KPIs.
Develop system for alerts basedon potential impact on your
(20:30):
operation.
Suggest visualization methodsfor real-time, like dashboards
or heat maps, and propose anddesign a predictive component
that forecasts potential issues.
And you need to serve it rightaway for maximum impact so you
can prompt it as per above.
(20:52):
Create an action plan forresponding to insights,
including suggesting methods forrapidly communicating changes
to relevant team members, torelevant customers.
Create a system for trackingimplementation and effectiveness
of changes.
And, of course, again, youcontinually improve.
(21:15):
Make sure that you optimize theefficiency of whatever you have
.
These prompts will guide youthrough setting up a
comprehensive AI-driven systemthat will continuously improve
operational efficiency.
Remember to adapt them for yourspecific industry, of course,
and operational needs.
(21:38):
This is, I think, the longestpodcast I have done, but I
wanted to make sure to give youprompts.
If you have any information,any questions or you need more
information, please feel free toemail me at sahar, at
saharconsultingcom.
S-a-s-a-r-c-o-n-s-a-r atsaharconsultingcom.
(22:00):
So these are the first threesecret menus to supercharge your
business with AI.
Remember, just like a goodbarista, experiments with
different bean blends andbrewing methods.
Do not be afraid to trydifferent combination of these
AI applications.
Start small and then grow.
(22:20):
See how it works for yourbusiness.
Then, as you get morecomfortable, try adding more
complex drinks, like what we'regoing to discuss next episode as
the Transporter Tea.
That's all for today, folks,this is Sahar, your AI Whisperer
at AI Cafe Conversations.
Until next time.
Keep brewing up success with AI.
(22:43):
Please comment, like and shareit with whoever needs to hear it
, and you can help distributeour podcast.
I really appreciate you Tillnext time.
One, two, 3, 4.
Hello, hello and welcome to the AI Cafe
Conversations.
I'm your host, sahar, your AIwhisperer, and today we are
peeking behind the counter touncover the AI baristas secret
menu.
Grab your favorite mug andlet's brew up some hidden
potential for your business.
(00:35):
But, as usual, before I go intothe context of what our podcast
today is about, I always sharethe news.
What happened this whole weektill today, wednesday, july 24th
?
You know what happened duringthat because, as we know, ai is
moving at the speed of light.
(00:57):
Unless you live under a rock,then you haven't heard about the
biggest IT outage in history.
That happened last week Friday,thursday and Friday and what
happened is that airlines got,flights got cancelled, a lot of
restaurants could not deal withcredit card payment, that's,
(01:21):
they had only to do cash.
Actually, my favorite cafeplace was closed due to that.
So what does it do?
Why should we care about that?
We should care about thatbecause when there is a single
point that fails right, like ifsomeone is doing an update, for
(01:45):
example, like in this case, itwas crowdsourced and it goes
wrong it doesn't only affectthat company, but, as we saw, it
affected everybody, and itaffected everybody at the same
time.
And why should we care when wetalk about AI?
(02:05):
So let's talk about AI.
In five to 10 years, it will beas important or crucial to our
daily life as our laptops andand Microsoft is now.
We saw this kind of outagehappening in 1995 or 96, I can
(02:29):
remember but it wasn't as badbecause we did not really depend
on laptops and PCs that much.
But now we saw what it could doand with AI coming, when
everything is gonna beintegrated with AI, specifically
that Microsoft cloud serversare now using AI then if an
(02:54):
incident like this happened, theoutage can be maybe six, seven,
10, 12 times more than Friday'schaos and fiasco.
And that's why we need to bevery careful when we deploy or
(03:15):
use AI in vital places likehospitals, like transportation,
like we saw what happened intothe airline justice, even
military, so we need to becareful with that.
We call it AGI or artificialgenerated or generative
(03:37):
intelligence, and again thatmeans something.
That means something verycrucial here that removing human
beings is not in the short term, it's not in the courts,
because removing humans from theloop entirely can actually be
disastrous, and so that's why,no matter what and we don't know
(03:59):
what's going to happen in thefuture.
No one can know what's going tohappen in the future, but so
far humans are more intelligentthan ai.
Hopefully it will stay that wayin another uh word linkedin
plans to use artificialintelligence, uh to make its
platform basically a daily habitfor users.
Uh, using gamification as well.
(04:21):
Um google I mean we're gonnasee gemini in the from friday uh
because google is sponsoring uhthe paris olympics and team uh
usa on um nbc and it's gonnapromote ai features, google
MapView, ai Overviews and Circleof Search.
(04:46):
In other news, gpt-4.0 Mini iscoming and is being released to
some people now, when actuallypeople were waiting for GPT-5.
I have to try it and then comeback with comments, but I just
wanted to let you know that it'shere.
(05:07):
Open AI also.
Chad GPT decided not to dependon anybody and just do start
building their own AI chips.
It's not going to happen rightaway, but this is the work in
their plan, because they don'twant to depend on someone like
NVIDIA.
You know, and see the thecompetition taking advantage of
that.
So they're going to be creatingtheir own chips.
(05:29):
It kind of worries me because Idon't want to see um some kind
of own ownership or just one um,one company doing everything,
but, at the same time, I dounderstand their concern.
So, as far as as tools to helpyou, you know, as a small
(05:49):
business since today we'retalking about small business and
its usage of ai we all need astory, right, a branding story,
and a branding story is where weact as the guide, you know, for
, uh, for our customers.
The start of the story isalways the customer.
So we need to build thebranding story and it has to
(06:10):
have some elements, and theelements is how to take them
through your journey, to see howyou transform yourself from A
to B, to give yourselfcredibility and to show them the
transformation that you wereable to do, that you can offer
it to someone else.
So a prompt for that and I'mbig on prompt engineering, as
(06:32):
you know, and prompt chainingyou can saw, you can say, as my
content creator and brandingspecialist, right, a bio in form
of a story, using the hero'sjourney framework that follows
(06:56):
you and you have, you will copyand paste your bio in there.
You know that got you from a tob, or got you from ordinary to
extraordinary, throughchallenges and obstacles, till
you achieve the results and thesuccess that you have in your
life.
So first you assign a role forit and you have to give it a lot
(07:22):
of information.
Like you want a story, you wantto be the hero in it how you
went through challenges andproblems and obstacles and how
you became successful at the endof the way.
Make it and you can add, makeit emotional, make it simple,
(07:49):
the end a short story that youcan use as bio to attract and to
make that connection betweenyourself and your client.
(08:10):
Chat GPT and to be very honest,I don't know if it's available
on the free chat GPT, but I haveit on my paid chat GPT it has
something on the left column, onthe top, called negotiator.
So what you can do with that islike you can actually go and
sign into your account and clickon negotiator and then put
something that what do you wantfrom it?
(08:31):
Like you can have it, give youinformation about any kind of
negotiation message that you arelooking for, and once you get
that message, you can basicallyshare it with someone else if
you are, email it or learn it byheart, so you can use it, for
example, to negotiate proposals,prices, business contracts and
(08:54):
even more.
But again, it's very importantfor me to say that my advice on
that, or even chat GPT, is not asubstitute for professional
legal advice.
Whenever you have contracts orwhatever, please consult a
lawyer for that.
I am not a legal professionaland I am not a lawyer, so I'm
not.
I cannot give you legal advicehere.
(09:16):
Ok, going back to today's ideatoday is AI barista secret menu,
unlocking the hidden potentialin your business potential in
your business.
So what I'm doing is that I'mgiving you the secret menu and
the secret recipes on how to useAI for your business.
I'm going to share sixdifferent secrets with you, but
(09:39):
I am going to divide it into twoparts three in this episode, in
this podcast, and three in thenext one.
So the first secret menu is theMind Reader Mocha.
The second one that I'm goingto share today will be the Mind
(10:00):
Reader Mocha is our first one.
The second one is our ChameleonCappuccino.
The third one is our efficiencyexpresso.
The fourth one is trend spottertea.
The fifth one is innovationiced tea and the sixth one is
(10:23):
feedback frappe.
Like I said, this episode isgonna run into the first three
mid mind reader mocha, chameleoncappuccino and efficiency
espresso.
And what I'm gonna do.
I'm gonna share with you whateach one means and what actually
the prompts that you should usefor each one of them.
(10:44):
So first up on our secret menu,like I said, is the mind reader
, mocha.
Imagine a coffee that knowswhat you want before you do.
That's what AI-poweredpredictive analytics can do for
your customer service.
Here is how you wipe up thisspecial blue Number.
(11:05):
One start with your customerdata that's your base expresso.
To add a shot of AI analysis toidentify patterns in customer
behavior.
Three sprinkle in somepredictive algorithms to
anticipate customer needs.
For top it off with proactiveoutreach and you might tell me
(11:28):
what, what does that mean?
What would I do with that?
So let's go through it step bystep.
Step one you need to gather thecustomer data prompt and how you
do that.
Again, you start with the roleas my marketing consultant.
Consultant list all availablesources of customer data in my
(11:57):
business, including, but notlimited to, purchase history,
website interaction, customerservice logs and survey
responses.
That's the first step, which wecall customer service.
To go to the analysis afterthat, or to analyze, identify
the customer behavior.
This is the prompt that youneed to put again, as above, as
(12:18):
per above, analyze the collectedcustomer data to identify
common patterns and trends asfrequency of purchase, types of
product or service most oftenbought, common customer service
issues, peak times for customerinteraction present the top five
(12:42):
most significant patternsdiscovered.
The third step is how we can dosome prediction algorithms.
How we can do that, how we canprompt it we always need to do
prompt chaining, meaningconnecting it to the one before.
So, as per above, and based onthe patterns identified, suggest
(13:04):
predictive algorithms thatcould anticipate customer needs.
For each algorithm, provide abrief explanation of how it
works, the specific customerneed it could predict and the
data it would require tofunction effectively.
(13:25):
For the fourth step, which isdesigning a proactive outreach
strategy, the prompt, then, toenter again as per above develop
a proactive outreach strategybased on the predictive
analytics, including triggersfor outreach, appropriate
(13:49):
channels of communication likeemails, texts, in-app DMs,
personalized message templatesfor different scenarios, a
system for tracking theeffectiveness of these proactive
measures.
And then to implement the wholeplan.
(14:09):
The prompt that you need toenter is as per above create a
step-by-step implementation planfor this predictive analytics
system that include necessarytools required team members, a
timeline for rollout, potentialchallenges and solutions,
(14:32):
methods for measuring success.
The last one, how to continue toimprove.
You often need to review it,update the algorithms, have
metrics, because what you canmeasure doesn't exist.
By using these promptssequentially, you can guide your
AI system or team through theprocess of setting predictive
(14:56):
analytics for customer servicefrom data that are already
gathered.
So this is what we do, and whatdo you get out of that?
You're reaching out tocustomers with solution before
they even realize that they havea problem.
It's like being a psychicbarista who knows exactly what
drink will make their day better.
(15:17):
The next one is Chameleoncappuccino.
This shape shifting drinkadapts to every customer's taste
.
Ai can personalize yourmarketing.
So the first thing to do is howto start with the robust
customer database that isbasically your coffee.
Then you make sure you segmentit, then you froth up some
(15:41):
content generation algorithmsand the final step is sprinkle
each cup with personalizedrecommendation.
How do we do that?
The prompt for creating thatcustomer database is to start
again with the role as my marketanalysis strategist create a
(16:02):
comprehensive list of customerdata points to collect,
including demographics,psycho-demographic purchase
history, browsing behavior onyour website, interaction with
our marketing emails, socialengagement, and then you do the
(16:26):
segmentation prompting.
The second prompt based on above, using the customer data
collected, develop an ai poweredsegmentation strategies.
So here you enter the variablefor segmentation, appropriate
algorithms like clustering orhierarchical clustering.
Determine the optimal number ofcustomer segments that you have
(16:49):
, and please don't have morethan two.
Describe the characteristic ofeach marketing strategies that
you have In order for you togenerate content.
The for that is, as my contentcreator design a content
generation system forpersonalized marketing.
So list types of content to begenerated, like email subject
(17:13):
lines, product descriptions,social media posts.
Identify key input, likecustomer segment, past
interactions or currentpromotions.
Have examples of how thegenerated content should differ
by your customer segmentation.
And propose to have a method toensure brand consistency across
(17:39):
the content.
This is a great way to start.
And then how to implement allthat.
The prompt for that based onabove, create a plan to
implement and integrate thispersonalized marketing system,
suggest tools, suggest steps,propose a timeline for rollout,
(18:03):
identify challenges andrecommend training to use that.
And always look at your KPIsand make sure that you follow
progress on that.
Again, when you follow theseprompts, you can guide the
development of a comprehensiveAI personalized marketing system
while building your customerdatabase.
(18:24):
The third and last tool that I'mgoing to give you, or prompts
that I'm going to give you today, is what I call the efficiency
espresso.
This potent shot superchargesyour operations, cutting waste
(18:57):
and maximizing resources.
So one, grind up your operationdata.
That's your coffee beans.
Use AI algorithms to extractinefficiency points to collect,
including production andservices, delivery times,
resource utilization, employeesproductivity metrics, quality
(19:20):
control, customer wait line fordeliveries, inventory, turnover
rates, equipment downtime andenergy consumption.
Then you can extract theinefficiencies and the prompt
for that.
As per above.
Develop an AI driven analysisplan for the operational data.
(19:43):
Suggest appropriate machinelearning algorithms for patterns
.
Define KPIs.
Create a list of potentialinefficiencies to look at like
bottlenecks.
Design a system to correlatedifferent data points for deeper
insight and propose methods todistinguish between normal
(20:06):
variation and actualinefficiencies.
The third part, which is brewunder the pressure of real-time
analysis design an alert system,so specify the frequency of
data analysis.
Make sure that you create thethreshold levels for your KPIs.
Develop system for alerts basedon potential impact on your
(20:30):
operation.
Suggest visualization methodsfor real-time, like dashboards
or heat maps, and propose anddesign a predictive component
that forecasts potential issues.
And you need to serve it rightaway for maximum impact so you
can prompt it as per above.
(20:52):
Create an action plan forresponding to insights,
including suggesting methods forrapidly communicating changes
to relevant team members, torelevant customers.
Create a system for trackingimplementation and effectiveness
of changes.
And, of course, again, youcontinually improve.
(21:15):
Make sure that you optimize theefficiency of whatever you have
.
These prompts will guide youthrough setting up a
comprehensive AI-driven systemthat will continuously improve
operational efficiency.
Remember to adapt them for yourspecific industry, of course,
and operational needs.
(21:38):
This is, I think, the longestpodcast I have done, but I
wanted to make sure to give youprompts.
If you have any information,any questions or you need more
information, please feel free toemail me at sahar, at
saharconsultingcom.
S-a-s-a-r-c-o-n-s-a-r atsaharconsultingcom.
(22:00):
So these are the first threesecret menus to supercharge your
business with AI.
Remember, just like a goodbarista, experiments with
different bean blends andbrewing methods.
Do not be afraid to trydifferent combination of these
AI applications.
Start small and then grow.
(22:20):
See how it works for yourbusiness.
Then, as you get morecomfortable, try adding more
complex drinks, like what we'regoing to discuss next episode as
the Transporter Tea.
That's all for today, folks,this is Sahar, your AI Whisperer
at AI Cafe Conversations.
Until next time.
Keep brewing up success with AI.
(22:43):
Please comment, like and shareit with whoever needs to hear it
, and you can help distributeour podcast.
I really appreciate you Tillnext time.
One, two, 3, 4.
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