It's not always simple to find a vape flavour that you really like. There are hundreds of fruit, dessert, beverage, menthol and tobacco flavored products and many vapers spend time and money tasting them all until they can find a flavor that they wish to stick with. Friends, reviews and best sellers lists can help, but they are all based on other people's tastes.
The rise of artificial intelligence (AI) is revolutionizing the way customers find products, across a variety of sectors. So, it can recommend movies from the streaming services, or even songs or online shopping items on your wish list.So AI can now get pretty good at learning what you want to watch, or what you want to purchase online. Of course, this leaves an intriguing question to ponder: can AI make the same recommendation with regards to the best vape flavour for you?
Yes but to some degree. AI can assess the patterns, learn what you like and recommend flavours that align with your taste. It cannot however, replace personal experience entirely. Your personal taste, mood and fluctuating tastes and preferences will always be of great importance.
Let's learn more about how AI recommendations are made, what type of data it uses, the pros and cons, and the potential for future personalised flavour discovery.
The selection of the correct flavor of vape is surprisingly hard to do for a couple of reasons.There is more that goes into choosing the right vape flavor than you might think.
Many people believe it's easy to pick a flavour. You want strawberries? Then get a strawberry vape. If you like mint then you will go for a menthol one.
In fact, preferences for flavour are more complicated.
Even people who love mango can have totally different viewpoints concerning the identical vape flavor. Some people like to eat a sweet tropical mango, some like a bit tangier or icy. The experience can be affected by things such as the sweetness level, cooling effect, vapour warmth, and settings of the device.
There are other factors that influence flavour preference:
- Likes of foods and beverages
- Sensitivity to sweetness
- Liking of cooling or non-cooling flavours
- Device type
- Coil condition
- Nicotine strength
- Time of day
- Previous vaping experience
These factors make it difficult to get the best flavour, which can then take trial and error.
What Exactly Is AI?
Artificial Intelligence is the technology that involves using computers to learn from data and recognize patterns to make predictions or recommendations.
Rather than following any pre-determined rules, AI digests data from lots of users, and draws parallels between individuals who have comparable choices.
We know that you're already using AI on a daily basis without even realizing it.
For example:
- Film Recommenders on Streamers are based on what you've watched.
- Music applications recommend music that fits your listening tastes.
- Online shoppers are recommended to buy items that are similar to what they already buy.
You don't have to guess randomly, AI can find patterns that humans may miss.
This can also be the case for vape flavour suggestions.
How AI Can Suggest Vape Flavours.How AI Can Suggest Vape Flavours.
Now let's say you're on the website of a vape retailer that has an AI-based recommendation system.Now suppose you're in a vape retailer's website that has an AI based recommendation system.
The system could ask a number of simple questions rather than asking only one question such as "What flavour do you like?":
- Do you prefer fruity or dessert flavours?
- Like ice cold drinks?
- Is sweetness important?
- Typically, what do you drink for breakfast? Coffee or soft drinks?
- Do you like citrus fruits?
- Do you like mint?
- What tastes are you looking for: do you like simple or complex flavours?
These answers are used to create a personal flavour profile.
Instead of recommending random items, AI will analyze your tastes and preferences against a sample of thousands of other users who responded to a similar query and find which flavours they liked.
Recommendations can be ever more accurate as time goes on, since the system learns from your purchases and feedback.
A Simple Example
Create two different users in your mind.
User A
- Loves mango
- Enjoys tropical fruits
- Doesn't like icy flavours
- Prefers smooth sweetness
AI may recommend:
- Mango Peach
- Mango Passion Fruit
- Tropical Mix
- Pineapple Mango
User B
- Enjoys strong cooling
- Likes berries
- Consumes drinks energy drink regularly
- Prefers bold flavours
AI may recommend:
- Blue Raspberry Ice
- Cherry Ice
- Mixed Berry Menthol
- Blue Fusion
While users like the same fruit, AI's recommendations would vary significantly as it takes into account several preferences instead of one particular ingredient.
What kind of information could be used by AI?
Modern recommender systems can be based on various kinds of information such as:
Previous Purchases
Items that you have purchased can give you a hint towards your taste.
Product Ratings
Positive or negative feedback will enable AI to learn what you like.
Favourite Categories
From fruit to beverage, dessert, mint and tobacco flavours.
Seasonal Choices
Some users are happy to vary their flavours in summer for the cooler and some prefer a richer dessert flavour in the colder months.
Shopping Behaviour
The minimum of browsing history and products viewed can enhance future recommendations.
Most importantly, any data collection must be done in a responsible manner and abide by privacy laws.
Does AI know about your personal sense of style?
While patterns can be recognised by AI with great accuracy, human taste is much more complex than just numbers.
Changes in your taste preferences may be due to:
- Mood
- Weather
- Time of day
- Recent meals
- Taste fatigue
- Personal memories
Those who love watermelon during summer could suddenly want vanilla or coffee flavours during the winter.
Similarly, something that you didn't care for a year long ago may turn out to be one of your favorites later.
That's why AI can be considered as a tool and not a perfect decision maker.
Could AI help to minimize trial and error?
The foremost benefit of AI recommendations is to eliminate unnecessary purchases.
Many vapers will purchase flavours because of the appealing packaging or strong reviews that the flavour received, and find they don't appreciate them.
The potential for an intelligent recommendation system to reduce the number of hundreds of choices to a short-list of flavours more likely to match their tastes would be a major benefit.
This saves:
- Time
- Money
- Product waste
- Decision fatigue
Users don't have to deal with too many possibilities, but instead get more targeted suggestions.
Learning with changing preferences: Can AI do it?
AI systems have the advantage of being able to learn over time, unlike traditional recommendation systems.
For instance, if you bought primarily fruit flavours, you might want to see what you can do to diversify.
Later, you start to try some drink-themed drinks like fizzy drinks or lemonade.
The AI picks up on this subtle trend and begins to suggest more of the same -- not just fruit flavours anymore.
This ongoing learning provides increasingly personalised recommendations, not static.
The future of Smart Vape Recommendations.
With the development of technology, recommendation systems could grow more complex.
Future platform(s) might be able to integrate:
- Purchase history
- Favourite flavour families
- Seasonal trends
- Customer reviews
- Popular combinations
- User feedback
The smart devices may even enable users to log their favorite flavors or develop a unique collection of flavors in companion apps.
While the technology is still in its infancy, the trends are becoming more obvious in a wide variety of industries, which is personalisation.
What AI is not and never will be.
Although it has a lot of potential, AI has its set of limitations.
It Cannot Taste
AI reads information and doesn't taste flavours.
The problem is that It Cannot Understand Memories.
Flavours can cause a person to think of favorite sweets from childhood or favorite holidays. It's challenging for AI to quantify these emotional bonds.
It's not like it can predict all of your preferences.
The best recommendation system in the world can not ensure that all the recommended flavors will be yours.
Human tastes are the same as they have always been—very personal.
Privacy Matters
If privacy is not a concern, then it is never included in the recommendations provided by AI.
Responsible platforms ought to be clear about:
- Data gathered:Data collected:
- Why it is collected
- How it is stored
- Whether or not users have control or the right to remove their data.
Recommendation systems operate without harm by being transparent about data practices and building trust.
But will AI take the place of human decision?
The answer is probably as low as zero.
AI is best used as an aid, not a decision maker.
Consider streaming service for music.
They can suggest songs that you enjoy, but you still select the songs that you want to play.
This is the same for vape flavours.
AI can make recommendations for things to buy, but it's up to you to decide.
To improve AI recommendations, you can use these tips:
If you're utilizing an AI-driven suggestion system, there are a couple of simple propensities you can take to enhance the quality of suggestions:
- Provide sincere reviews following trial of products.
- Try out various flavours from time to time.
- Changes of taste, revise your preferences.
- Avoid selecting flavours just because they are popular.
- Do not be afraid to try other variations of flavorings.
The better the information, the more relevant are the recommendations likely to be.
Can AI revolutionize the discovery of flavors?
With online shopping one of the biggest trends in personalisation, it's safe to assume that vaping won't be any different.
Future users can have carefully curated suggestions of products according to their own preferences as opposed to having to scroll through hundreds of products.
It might make it quicker, easier and more fun to find new flavors, and eliminate much of the “trial and error” which many users endure today.
But technology should not supplant the human decision, it should enhance it. Taste is subjective and every algorithm cannot encompass all of the different experiences, memories, and preferences that lead to certain preferences.
Final Thoughts
With AI, the process of discovering vape flavours can be even more tailored to each individual's tastes than ever before. AI can use preference, shopping, and flavor trend data to suggest items that better match an individual's tastes, thereby enabling users to save time on guessing and more time on enjoying their preferred flavors.
AI, on the other hand, cannot replace real-world experiences. With such a variety of moods, trends, and opinion, any decision to choose a flavour should be personal.
As recommendation technology heads into a new era, AI will be a helpful adviser, but not the ultimate decision maker. It can help to streamline the process, add options and help to navigate a wide array of choice. So, the most ideal vape flavour is the one that you adore, and AI simply serves as a wiser beginning to discovering it.
