Artificial Intelligence (AI) is a remarkably hot topic right now. The technology is likely to be a crucial part of business and commerce in both the near and far future. As such, it’s extremely important for businesses large and small to begin integrating the technology with their online storefronts and backend infrastructures.
If your business has been looking to do just that, then look no further. The guide below will provide you with a comprehensive look at how to develop a personal shopper app based on artificial intelligence. Without further
delay, let’s get started.
Find an AI Vendor
AI is a uniquely complex area of study. Because of this, you shouldn’t expect to be capable of shouldering development responsibilities. As such, you’re going to need to get acquainted with a reputable AI vendor.
Vendors are outlets and businesses that specialize in pairing startups with developers. In some cases, vendors will simply point you towards an already-developed AI that has the majority of features you require. If your ambitions for your storefront are more complex or specialized, then the vendor’s concern will be matching you with a developer with the knowledge to create your AI from scratch.
If your team is already stacked with AI experts, then you may already be set. Remember, the point of the project isn’t to develop the storefront yourself, but rather, to train an AI to create the storefront for you. If your team is well versed in web development but inexperienced when it comes to neural networks, you may want to reconsider relying solely on them.
Once your vendor has set you up with a suitable AI or able developer, you’re ready to get into the specifics. From here on, it’s recommended that you have a clear understanding of your goals and expectations for the project. With that said, you’re clear to move on to the next step.
Get acquainted with the integration process
The integration process is where your AI is “trained.” Training an AI is how the neural network learns what you expect from it. Doing so will make the development process more seamless and significantly less stressful.
The purpose of AI is to take care of the busy work and tedious backend operations that you don’t want to waste your team’s time and energy on. These operations are often time-consuming and resource-intensive, which makes their alleviation a benefit that speaks to the immense value of integrating with AI technology. Businesses and e-commerce have only just begun to see the breathtaking effects of integration and the sweeping improvements they make to efficiency and output as a result.
Integration is complex, however. It can often be a frustrating and difficult task for even the most experienced software engineers. During this step, it’s crucial that you provide your team with the breathing room and time they require in order to make a product that delivers on all of your expectations. If you’re integrating the AI yourself, or are working closely with the developer provided by your vendor, do not let the slow pace of the process alarm you.
Once you have your expectations for integration set, you’re well on your way to creating a bleeding-edge neural network. Ensure that communication between team members is clear and open, and you should have minimal issues with these step. Move on to the next step at your leisure.
Understand what you want out of a personal shopper assistant
A personal shopping assistant can do many things. Moreover, it can mean many things to different businesses. Having a clear definition of the software will ease development troubles enormously.
First, it’s recommended that you have a clear, concise list of functions you expect from the software. Doing so will give your developers and team more concrete and actionable goals, factors that are statistically beneficial to any businesses. Having a checklist of achievements and challenges can make the difference between success and failure in many cases.
AI can provide online storefronts with a bevy of expanded functionalities. Here are just a few:
- Customer recommendations based on machine-learning
- Auto-restocking functionalities based on popular products
- Drastically reduced downtime from maintenance
The above list is only a sample of what the technology is capable of providing. So long as your team has the skills to actualize the idea, there are very few tasks that can’t be completely automated. This feature is enormously beneficial, as all forecasts of online business point towards automation becoming standard within the next decade.
Create a flexible budget
A development budget is arguably the most important aspect of the entire project. Without a realistic forecast of potential costs, your project is susceptible to unforeseen troubles and difficulties. There is no reason to deal with these kinds of factors is they can be removed entirely with proper planning and resource allocation.
AI is a costly endeavor in the long run. While its enormous short-term returns more than account for this, the prospect of poorly-allocated resources are the most concerning early on in development. As such, it’s highly recommended you approach budget creation with a realistic mindset that errs more towards the modest end of the spectrum.
Create a workable timeframe for maintenance and updates
Additionally, AI does not exist in a vacuum. The technology requires maintenance in the same way that more traditional machinery does. Given the immensely complex nature of their infrastructure, it isn’t incorrect to posture that they could potentially require far more.
The above reasons are why you and your team should be prepared for downtime and unforeseen complications. Even the most cutting-edge neural networks in the world run into complications from time to time, and there is no reason to think that yours will be any different.
Keep in mind that when your AI is down, so is the entirety of your storefront. Since the AI’s value is contingent on it shouldering essential functions, it can be easy to forget that those same functions will be removed should the network go down for any amount of time.
You developers and staff are more than likely prepared for this eventuality. If you have any experience with development or are handling it yourself, it’s likely that you are as well. Regardless, the severity of the process means it bears repeating.
Ensure your staff understands the infrastructure
This step isn’t as much of a given as it seems. Because of the often erratic turnover rates encouraged by the tech industry, it is very likely that you’re going to have developers coming in and leaving at a fast pace. If you’re bringing in staff members that aren’t as familiar with your network’s infrastructure as those who came before, you may be setting yourself up for some serious headaches.
You can avoid this by having strict and clear language requirements for any developers you bring on board. Having your network operate on a consistent set of development languages can also help enormously in the long-term.
You’re now ready to develop a storefront with AI.
Follow each of the above the steps carefully and enjoy the enormous profits and increased efficiency your efforts provide.
Yana Poluliakh is a brand manager at Yalantis, mobile and web app development company based in Ukraine. Yana works to improve relationships between Yalantis and its customers by elaborating the company’s brand messaging. She also writes about mobile app development, technology trends, and marketing.