In the first part of this blog, we looked at how Artificial Intelligence (AI) has shifted to the supplier side of the retail eco-system, particularly in two areas — price and product offering. In this post, we will explore how this has impacted the buyer’s journey at almost every stage.
As many of you know, the buyer’s journey starts from the awareness stage, where he comes to learn about a product or brand, and then goes through the following steps: research, consideration, purchase, and retention; The second is that a company tries to capture its customers. Above all, history shows that people who have previously purchased from your company will be repeat customers if they are happy with the entire journey.
AI E-commerce has retained the power to analyze vast ways of data and human behavior. If you look at it from the customer’s point of view, the digital age has begun, and now AI has leveled the field for buyer pricing and product offering. All the customer has to do to get the best price or the best product in the price range is to use his portable computing device and search the entire market space for what they want.
The introduction of AI and its applied fields such as machine learning now affect almost every stage of the customer journey. The facilitator today is that users live in an omnichannel, multi-channel world, and AI provides a way to enable information and intelligent responses across all these platforms.
Good customer service is also known as good business. And end up selling ood customer service, And it goes on and on.
To Know More: Six ways AI is revolutionizing e-commerce
The hidden camera takes eight seconds of videos for you to wander. In playback, the buyer can see himself from all angles. You don’t have to ask anyone how they look in different postures, you can look for yourself. This is a breakthrough in the average dressing room we’ve all seen.
Now with new technologies like AI in the picture, retailers like Niemann can use them to create “more meaningful” customer experiences. Niemann believes that AI is already thinking about it, and that reality is built on a buyer’s buying experience.
While the use of AI may be in the early stages of the buyer journey, some brands are testing the waters by introducing chatbots. Experts believe that the day that AI affects every step of the customer journey — from marketing messages, advertising, product design, and shipping — is far from over.
Virtual shopping assistants or recommendation engines can help customers find a product from catalogs, which is another area where AI can help. Even a real-time recommendation when the shopper is in the store, looking at what’s on display, changes the whole experience to one another.
Here are several ways to help AI users:
Personalization
This is a fact that every seller knows — customers are attracted to the experience, which makes them loyal to the brand. In the offline world, thanks to the assembly line method of producing goods for the public, there is not much personalization. With the advent of digitization, it has changed. The data around individual customers was used to create an attractive experience to drawback to the e-store.
To Know More: How Artificial Intelligence (AI) Will Shape your E-Commerce Business in 2020?
Now, with AI in the picture, and its ability to analyze data at a much higher speed, personalization of objects has taken on a whole new meaning. AI techniques can help identify patterns, learn from them, and create hyper-personalization recommendations for customers.
What’s more, AI can analyze customer sentiments across various social media channels and compare customer profiles with their social experiences regarding a particular product. This enables shoppers to understand what style is and can receive product recommendations in real-time, similar to customer shops. Such AI-product output is being used by some retailers to provide products that are tailored to the individual customer’s tastes.
AI, along with retailers at every stage of the customer journey, brings benefits to its customers.
Visual search
The next disruption in long-term keyword search is visual search, and it’s almost around the corner. Above all, shopping is a very visual experience. No words can accurately describe a product or service. Visual search is expected to take the customer experience to the next level.
Here’s how: Brands upload images of items on their list, each with their unique codes. When customers upload an image of their favorite product in their online search, AI-based software evaluates it and factor in brand, color, and the like.
This can be done by analyzing the pixels in the image. It provides real-time instruction on alternative brands or products. Alternatively, AI-based software can also throw out product suggestions based on shoppers’ history, likes, and dislikes. Experts predict that if the visual search is complete, the chances of leaving shopping carts will be significantly reduced.
Using AI, brands can scan through petabytes of data to predict customer behavior and throw out visual recommendations to individual consumers. Going forward, companies can combine AI and visual capabilities to develop analytics models to identify micro trends and consumer behavior patterns, and then make smart recommendations.
Virtual Personal Shopper
However, AI-driven virtual assistants can prove to be highly effective recommendation systems. There is no doubt that they have the potential to change the retail industry and ultimately help drive sales. Where time is money, consumers use a personal shopping assistant, so talking can be very effective.
If you haven’t dug deep into the underground for the past few years, you’ve probably heard of Artificial Intelligence (AI).
In this article, we will share the powerful and practical ways that retail businesses use AI in the world of online shopping.AI is beginning to embed itself in all aspects of our lives.
Watch recent interviews with Amir and he will tell you that customers often give up on e-commerce experiences because the product results displayed are often irrelevant.
To address this issue, Twiggle uses natural language processing to narrow down, contextualize and ultimately improve search results for online shoppers.Another business that is trying to improve e-commerce search is US-based Tech Start-Up Clarifying.
Retarget potential customersAccording to Conversica, at least 33% of marketing leads are not followed by the sales team.
For consumers, there are a lot of touchpoints and effects that generate purchases.To Read More-How Can You Reshape Your Traditional E-commerce Business With AI?Many e-commerce retailers are already becoming more sophisticated with their AI capabilities in attracting attention, and one of the most emerging approaches is conversational commerce.
AI is one way to provide the industry with innovative and smart business solutions.
AI applications have the ability to analyze data sets, identify patterns, and create a personalized experience.
It creates a unique system that is more efficient than any human.Advance Visual Search EngineRecently Artificial Intelligence has introduced a Visual Search Engine in the eCommerce field.
This is one of the most exciting trends that helps users find what they want with a single click.Therefore, we can say that AI is a technology that enables visual search.
With a simple click, the user can get the right results.
Based on the image users can get the desired results.Personalized RecommendationsAI can help by suggesting a free recommendation via text or popup.
Artificial intelligence is surely expected to achieve the unexpected; in every possible way.
Here are some of the everyday applications, which you may have not noticed before.
Zencode was founded in 2013 as an IT outsourcing company.
We set up our first Delivery Centre at Chennai, India in 2014.
We outgrew the garage to a full fledged office within 2 years.Along the way, we also expanded our market footprint to Hong Kong and setup our AI & Blockchain practice at Bangalore, India.Today, we can help you build your IT platforms from start to finish.
From design to coding to implementation and support .
Zen is a business application that will revolutionise the way a company does things; A marketplace that brings various people together; A custom business application for your business; A mobile application that uses crowdsourcing to bring convenience to customers; or a myriad of potential new industries, ask Zencode to help you with the implementation.Email Address Sales : [email protected] HR : [email protected] us: BANGALORE III & IV Floors, NCR Complex 580/B, Sector 6, HSR layout, Bengalore-560102
Artificial Intelligence is also known as machine intelligence, where machines mimic the intelligence of the human mind and actions.
The primary purpose of artificial intelligence is to make rational decisions according to the circumstances.
The correct implementation of AI can carry more complex tasks with less time.
Artificial intelligence has received an upward trend of growth, leading to the development of human society and multiple industries, and artificial intelligence will continue to grow in promising ways for consumers and various businesses.As 2020 has not been a great year so far because of COVID-19, artificial intelligence has played a massive role in combating the pandemic induced situations.
Every ounce of technological advances and innovations helped us to fight the pandemic.Every organization is finding new ways to operate effectively and to serve their customers as social distancing measures remain in place.
These chatbots have provided the answer to almost every possible question, from evaluation to exercise without putting the human resource at risk.Machine learning and artificial intelligence have helped researchers to analyze a large volume of data to take preventive measures.
There are several ways organizations deal with the contracting process.
Few manage it with word-based drafting and redlining coupled with storing in repositories like Drop Box or SharePoint and some deploy automated contract management systems for this process that also include collaboration.https://blogs.docskiff.ai/top-5-ingredients-of-ai-based-contract-analytics-platforms/
