With the technological evolution of artificial intelligence (AI), many companies have tried to explore ways to incorporate this new capability into their products and services to serve their customers better.
Many industries, such as Manufacturing, Retail, Transport and Logistics etc., have already had success integrating this technology into their business. The medical field, too, has seen AI assist in new drug discoveries and enhance diagnostic abilities to aid doctors and medical staff. Android app development services have been working on these apps for some time.
The potential for this technology for use in personal goods and services is limitless. Some of the current ‘smart’ applications, such as personal assistants, demonstrate the way AI could improve people’s lives on many levels.
AI is now taking on our personal lives by featuring in personal relationship technologies. From searching for a partner on a dating app to psychology and communication aids for better relationships, AI can now take centre stage as the technology to drive into new possibilities.
No longer just a human domain, relationships and indeed love are now being approached from a technology viewpoint. Many possibilities are there to improve people’s lives using AI-assisted applications. You could be dating a customised avatar in the future with AI, the new matchmaker!
Dating Industry and AI - Present Scenario
In an ever-expanding industry, online dating is now big business. The multibillion-dollar industry is dominated by Match Group who own more than 40 dating businesses, including the popular service ‘Tinder.’ Unlike traditional applications and programs, AI-assisted dating apps are capable of a lot more in terms of predictions and analysis and can offer an overall more interesting product.
The Match Group and their competitors have amassed large stores of personal data, which technology like AI can now take full advantage of. Predictions such as how people really decide on a partner is just one way AI could utilise the data. Hire React Native app developers who can easily leverage this data.
With the expansion of the dating industry, examples of AI can be seen in use already. There is an AI female ‘chatbot’ that can guide users through the process of finding love and romance by offering suggestions analysing personal data. After asking the user questions about their preferences, the program starts to separate profiles that best match your personality. When a profile is selected, the app can then offer more details about the particular choice.
Some of the AI applications so far in the industry are based on a novelty approach. An interesting application using AI can be seen with the Loveflutters app function, which suggests restaurant recommendations to give a date a little nudge. Now many dating apps provide users with recommendations for first date ideas, whether it is a club, restaurant, cafe or bar.
The service Badoo has a fun technology that matches your partners face to that of a similar celebrity. This type of feature works using the integration of AI technology and face recognition to match the user to the celebrity. By uploading a picture, the app can scan for lookalikes across a huge database.
On a slightly more sophisticated level in terms of relationships, well-known website eHarmony is using the technology to analyse chats to develop suggestions to users about approaching their next ‘move’. Another example of technology involves assisting users by ranking profiles and predicting user preferences.
In simple terms, the basic premise behind AI in the dating world was explained by Tinder CEO Sean Rad - AI will act as a ‘smart filter’ and predict a person’s interest. Custom mobile app development services should take this aspect quite seriously.
Current dating services are exploiting AI to filter through the expansive data to create a larger pool of potential matches for users.
Possibilities also lie in areas outside the dating websites and applications, such as public social media posts which could provide an insight into personal preferences.
This type of analysis could avoid potential biases, which may form on more deliberate or contrived responses provided on dating questionnaires. Inaccurate or misleading responses are reportedly one of the main reasons why people do not have success with online dating.
Data and Dating
AI has the ability to process enormous volumes of data, and as more and more data is generated on the internet via social media, AI-assisted applications will be able to generate highly accurate predictions.
The complementary technology of virtual reality (VR) is evolving along with AI. The potential for these two applications to work together in the dating world appears only a matter of time.
There is growing demands for products like “virtual girlfriends”. The evolving technology aims to provide users with the opportunity to practice dating in a virtual environment to assist with their attempts in the real world.
What all this is leading to in the future could be your own customised virtual reality partner! The volume of data that AI-assisted technology can process could lead to the creation of the ‘perfect’ partner.
By integrating with other advanced technologies, the concept could take one further step by allowing users to physically experience their personalised avatar. Really providing a disruption to human relationships would be the creation of an interactive robot or companion.
While this idea could be confronting on first thought, it does hold several possibilities that could improve people’s lives. A virtual reality companion assisted by AI could be used by the elderly or widowers, people with disabilities, or anyone who faces a challenge in finding an intimate partner or companion.
The Destiny of Dating Apps
With advancements in technology and AI and the increasing interest in online dating services, companies in this space need to keep abreast of the latest developments in order to stay relevant and meet customer demand.
One area not yet discussed is where technology can solve some of the negative aspects encountered while using dating applications. One such negative experience for some users is when they encounter users operating under false identities, otherwise known as ‘catfishing.’ This behaviour can significantly alter the user's trust in the service. One solution companies are exploring is users confirming their identity via face-mapping technology. Issues remain, however, about the need to verify details versus implementing requirements that intrude on privacy and discourage uptake of the app.
A new feature seen in some dating apps is a concierge service where the program assists users to create an ideal online profile. Using a combination of AI, machine learning and human intervention, the feature works on trying to maximise your profile and improve the appeal. While the feature does often attract an extra fee, it offers the opportunity to develop a profile for maximum matches.
Future developments in AI may begin to explore other elements that may lead to more successful matching on dating apps. The sophistication level will increase as the AI-based programs ‘learn’ what works with increased data and feedback. Characteristics such as psychological profiles may be developed in the future to delve into more than just personal preferences. Physical characteristics are another crucial area of personal attraction that can be further explored using technology.
Another possible direction is the use of DNA and collaboration with existing ancestry services. Matching people on the basis of DNA has a long way to go before it can be considered a viable concept for matching people; however, with AI, the scope increases for such possibilities in the dating app industry. A React Native app development companycan take advantage of these opportunities.
There is enormous potential for dating apps to generate revenue through a number of innovative streams that will complement their service.
One way is to take advantage of partnerships with suitable third parties to increase growth and generate revenue for mutual benefit.
A previously discussed, the dating app Loveflutter uses data from chats to match not only people but also recommend places to eat or meet up. It can suggest venues that are convenient to both users based on their locations by using another app that is specifically for finding nearby services such as bars and restaurants.
This could be extended by re-directing the suggestions made by the app to the apps of the third parties. This could be direct to a restaurant or even to an aggregator app like Uber Eats.
Different revenue options could then be explored between the dating app and the third-party supplier. One possibility could be as the third party supplier receives a lead from the dating app, various fees could apply, including a fee based on the average cost of acquiring a new customer if known. Or a commission or percentage-based fee agreed when the user orders.
Discounting could also be built into a model to influence the user’s behaviour in choosing a restaurant or venue.
Opportunities may also appear using similar revenue models based on leads from a wide range of apps or third parties. These may be directly related to the dating industry or completely separate but wishing to attract users. It is up to the app businesses to decide whether third party involvement would add value or compromise their core product.
One challenge for dating apps is to continue to get engagement from users once a date has been successful.’ Many users of dating apps indicate an interest in finding long-term relationships. If subsequent dates occur, AI could play a role in suggesting to users different options from those previously tried. In this way, the app can analyse newly introduced date venue suggestions or extend the idea to cuisine choice or even gifting.
At this point, there is scope for the app to show real creativity. The user could see value in providing insights to the users on specific preferences. A comment on a liking for jewellery or clothes could be matched to a colour preference mentioned, and this information suggested to one of the users as a great gift idea. A third party supplier of the gift could then be suggested, and an order made seamlessly through the dating app.
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Basically, what AI-assisted apps offer is the ability to understand the users via their chats on the app and be able to continually learn and therefore suggest further ideas. All this can add to the value of the app outside of just the core function or matchmaking and make the experience lead to a loyal following from users.
As mentioned, these features can add value and produce leads for third parties in the dating industry as well as other opportunities outside this space.
Innovation and AI- Challenges
As with any new innovation, the implications need to be considered, and the impact on the user’s needs to be front of mind. Especially when considering human relationships and emotions, which can be unpredictable and spontaneous, any suggestion given by the AI function needs to be considered in terms of whether it will add value and assist the primary function of the app, or whether it may turn off a user or confuse their decisions and interactions.
The conversation and rapport being built on a dating app chat is an important part of the success of the overall experience. Too many suggestions could interrupt the rapport; however, the right interventions by the program could see a new understanding between the users. Ideally, the innovation and revenue concept should assist the user in their quest and not divert their mind via too many choices or options that feel intrusive. A Blockchain app development company needs to incorporate the above points.
Developers and AI-Enabled Dating Apps
AI is already being used in innovative ways in the dating industry. Many early adopters have successfully navigated the balance between technology and enhanced user experience. Fun features may keep people coming back too. Developers can still focus on using technology to iron out glitches, resolve user issues and generate insights from data. In addition, the opportunity exists to take advantage of the increasing volume of data that is being generated through apps and online.
The world of AI and dating apps continues to evolve at a rapid pace. Innovations in matchmaking are going beyond the traditional old fashioned ways and moving toward an enhanced personal understanding of people and relationships. AI-assisted solutions in the dating world are taking advantage of large volumes of new and old data to analyse user’s behaviour like never before. Working hard behind the scenes, the algorithms are increasing the chances of people actually finding their life partner, or just great, even casual friend if that’s their criteria.
If the ideas in this article are of interest, a developer experience in AI apps could be of assistance to run through the core abilities of Artificial Intelligence in dating applications. This can ensure you stay in touch with the future of high tech human relationships.