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How to develop a personal shopping assistant app?

Mobile Development

Personal shopping assistant app development

The world does not stand still and retail is also developing, following new trends. The popularity of personal shopping assistants is gaining momentum and is already going online, helping retailers to earn money. Shopping apps are especially attractive to younger consumers - Gen Z, followed by the older generation. This applies primarily to the use of smartphones, social networks, and, of course, direct purchases in stores. Already, it seems lazy just did not write about such trends in retail as omnichannel, seamless integration of offline, online, and mobile systems.

We will tell you how to create a popular shopping assistant application for startups, based on 3 retail trends: expert opinion; an application that is always at hand; and quick feedback, which is important in the modern world of digital technologies.

How do shopping assistant applications work?

Personal shopping assistant app can work based on artificial intelligence or combine a mixture of AI and human analysis.

Artificial Intelligence drives applications for data analysis - specially designed algorithms make suggestions based on the study of user behavior. No consultation with people is required, which greatly simplifies the buying process. AI processes a huge pool of information, it downloads data from hundreds of online catalogs and websites in search of the right product at a speed that is incomparable with human capabilities.

AI-powered personalization is also a key benefit of a personal shopping assistant app: an algorithm to search user data to study shopping trends, personal habits, and individual preferences. The information collected allows you to make personalized offers and improve the accuracy of your search results.

However, the combined AI and human resource approach ensure fast and efficient service while preserving the human factor.

Why should develop a shopping assistant app?

According to a Google study, 84% of shoppers use a smartphone while shopping - searching for information about the products they are interested in.

If earlier the decision to purchase was made based on interaction with the brand, now it is shifting towards the social community. The consumer saw the ad, but he makes the final decision based on the recommendations of friends or influencers in this niche.

The fashion tech segment is moving into fully digital marketplaces, in which the search for the right products will be very socialized, tied to the opinions of other people.

The popularity of personal shopping assistant apps enables users to save time and money.

Instead of going through hundreds of dresses in a store, the user can go through thousands of them online, which artificial intelligence will help him choose based on his preferences. Everything has changed places: before, people first bought a thing and then tried to please others in it, but now they try to understand in advance what things they will definitely like.

Also, personal assistant applications are excellent monetization. In addition to selling in-app advertising, analyzing demographic data - age, gender, location, user behavior - can help retailers make decisions.

The most expensive and complex analysis of customer behavior is information about why something is not for sale. The personal shopping assistant app allows retailers to better understand the needs of their customers, and therefore, to increase sales.

Most important features of Shopping Assistants app

The popularity of shopping assistant apps is only gaining popularity. Therefore, there is tremendous scope for innovative solutions and unique features. However, we will tell you about the main functions without a personal shopping assistant application can’t do.

Compare prices and find the best deal

A personal shopping assistant app should help users find the right product, offer price and performance comparisons, and choose the best deal based on the user's needs and previous shopping experience. To collect data about products across stores, you can use open-source data or partner with brands to provide you with the data you need.


The good personal assistant app offers its users the best coupons for the store they shop from before placing an order. Also, you can offer coupons to promote certain products or brands based on your users' preferences and history.

Purchase history

A shopping assistant application can enable users to view past purchases, their content, prices, and coupons for purchased items. Some may even help plan new purchases or repeat an old one.

Package tracking

Any retail application is obliged to show the order status at every stage, as well as inform users in a way convenient for them, for example, using push notifications or SMS.

Natural language processing 

Natural language processing allows you to communicate with an AI agent as if it were a real person. A modern personal assistant application must recognize human language and even understand colloquial slang. Based on user requests, a personal shopper provides relevant results and can even give an evaluative opinion on the choice of a particular product. An excellent example is Siri, which has become an indispensable assistant for most iPhone owners.

Image recognition

Image recognition is an alternative to text search. This will be especially true for fashion retail and interior goods. The user uploads a photo with the desired item, and the application recognizes all the elements in the photo and finds this product or a similar one.

Personalized recommendations

Personalized recommendations are also based on machine learning. Let's say you're buying yourself a new pair of jeans, the app might recommend the sweaters and sneakers that suit best with your new pair of jeans. The peculiarity of machine learning is that the more you use the personal shopping assistant app for purchases, the more accurately you will receive recommendations depending on your clothing style and previous purchases. Brands will love this feature as they will be able to offer products to their customers knowing exactly who they might like.

Price prediction

The price prediction algorithm will become a competitive advantage of your shopping assistant app. This feature will let you know when prices have gone up or down to help you get the best deal. You will receive a notification if the price of an item you are interested in will be reduced anytime soon, so you can wait a bit to save on your purchase.

How to build a mobile shopper app?

To develop a personal shopping assistant app, you need a team of at least 6 people:

  • UI/UX designer

  • iOS developer

  • Android developer

  • Back-end developer

  • QA engineer

  • Project manager

We present you with a step-by-step guide to developing a personalized shopping assistant app:

  1. It all starts with business expertise: at a meeting with the project manager, details are discussed and the idea is finalized.

  2. The next step is evaluation. It is carried out by the retail app development team: they get acquainted with the idea, study the technical documentation, calculate the time required to develop the shopper application and test it, and, if necessary, draw up a brief for the customer with clarifying questions.

  3. The next step is the creation of a mind map, it is indispensable in the development process and during testing. Such visualization saves time, does not lose sight of important details, and covers all project connections. The information received from the client is structured, broken down by goals and objectives, and a detailed project diagram is drawn up.

  4. Having structured and visualized all the data for the shopping assistant application, the developers move on to the prototyping process. A prototype is a mockup of a future mobile shopper app that contains its main functions. It allows you to evaluate the pros and cons of the application, see how the functionality will work, and minimize the need for changes at the last moment.

  5. After the approval of the prototype, the process of creating a UI/UX begins. Maps of screens are drawn, states of all elements, a detailed prototype, taking into account various scenarios of using the personal shopping assistant application. The design allows you to evaluate how the finished shopper app will look like.

  6. When the technical specification is ready, the prototype and design of the shopping assistant application are approved, the development process begins. At this stage, the planned behavior of the application is implemented using the code, the product logic is connected to the server-side, and the styles and UI elements are written.

  7. When the development of the application is complete, testing begins. It is better not to save either time or money here. Testing is necessary not only to find bugs and errors but also to study the operation of the personal assistant app as a whole: how convenient it is to use, is it clear at an intuitive level, how quickly it responds, etc.

  8. When testing and revision are completed, the process of publishing the app to 

  9. You cannot release a personal shopping assistant app and forget technical support, this is not a self-supporting system, the application must be monitored. It is important to respond in time to reviews (both positive and negative) and the wishes of users, release updates to solve problems. Ignoring all this will lead to the removal of the mobile shopper application from the mobile device and will cause negativity in your direction.

As you already understood, the process of building a personal shopping assistant app is very time consuming and requires expertise. Therefore, the best solution is to entrust it to professionals. Do you have an idea for a personal assistant app? Write to us and we will offer you a solution that feet your needs.


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