The field of artificial intelligence is evolving at a record-breaking rate, and AI chatbots are spearheading this. These human-made chatbots have come a long way from simple rule-based systems to highly sophisticated AI-based systems with the ability to understand context, reply in almost human fashion, and even get complex things done.
You, I, and we all understand that chatbots will not only be used to provide automated customer service but also for developing intelligent digital assistants that will revolutionize business, enhance customer satisfaction, and promote innovation in all sectors.
With the trend ongoing, I believe that in the future, chatbots will be inevitable and an unavoidable aspect of almost every sector, such as healthcare, banking, retail, and education.
Now that you are searching for future trends in the chatbot industry, it is rather obvious that you are aware of the basic concept of what chatbots are. So skipping that part, I am directly jumping to the future trends of order processing and tracking chatbots.
I have read quite a few research papers on what is up and coming in the e-commerce industry for chatbots and how the order-processing chatbot industry will eventually shape up. I have tried to share my view on the same.
I hope through this blog, you will get a faint idea of what you can expect every industry to work on in terms of their chatbot implementation and development and how you can prepare yourself for the upcoming times.
Future trends in AI chatbots for order tracking and processing
While it would be reasonable to be skeptical at first, we're not the type to overpromise what chatbots can do. To get the whole story, let's look at the chatbot statistics.
I have referred to a few company-based statistics, and these are the numbers from Adam Conell that I have referred to and found to be accountable, authentic, and relevant.
- The world market of chatbots will be $455 million in 2027
- Chatbots may save question response time for repetitive questions up to 80%
- Individuals make the most frequent usage of chatbots during 8 AM and 5 PM
- Chatbots see through conversations end-to-end up to 70% of the time
- Chatbots are the fastest-evolving brand communication channel
- Companies save up to 30% of customer service expenses through chatbots
- 31% of businesses that personalized their chatbot greetings met their business objectives.
These results show that chatbots can not only answer questions but also create sales and provide a tailored shopping experience.
Now, if I shift our main focus to what we can expect in the near future for order processing and tracking chatbots, then these are the main segments to look forward to.
1. Voice AI Chatbots
Voice assistants continued to develop as a result of the technological advancements made by Google and Amazon. Technologies like beam formation, echo cancellation, and other NLU aspects in embedded devices are some of the voice assistant developments.
By automating the order-taking process, AI voice ordering minimizes personnel expenses and eliminates the need for manual entry. It can manage several orders at once and helps avoid losing potential clients because of wait times.
Apart from this, voice assistants also began cutting into the payment arena in 2022, utilizing voice as the sole input for payment requests as well as receipts. Voice assistants will continue to become more popular among consumers, and online shopping platforms will continue to embrace the technology far more in the coming years.
By 2025, it is expected that voice assistants will carry out transactions worth more than $164 billion.
2. Autonomous AI Agents
Chatbots can execute end-to-end processes automatically without the assistance of human touch, owing to the application of AI-facilitated automation software like AutoGPT and BabyAGI. For instance.
Order processing may be greatly streamlined by autonomous AI agents through task automation, error reduction, and increased efficiency. From receiving orders to verifying them in an ERP system, these agents manage several facets of the order lifecycle.
Additionally, they include services like personalized client answers and real-time order tracking, which improve customer satisfaction and turnaround times.
3. Emotional Intelligence
More than emotional intelligence itself, what can facilitate better human-AI interaction? One of the largest complaints made about AI is that it has yet to become as good at interpreting the emotions expressed in a speaker's tone of voice. Fortunately, developers have been able to find a solution, implementing a new trend among chatbots.
Chatbots can become more empathetic with the use of technologies such as natural language processing (NLP), computer vision, speech-emotion recognition (SER), and facial expression recognition (FER).
In the future, this will enable the use of the transformation NLP model to adjust AI messaging on the basis of a person's status and emotion. In order to better comprehend the context and react properly, emotionally intelligent chatbots monitor the customer's emotional state and integrate emotional insights with semantics.
It will employ speech analysis methods to analyze the pitch, rate, and tone of the voice to more accurately pinpoint emotions and utilize FEA along with computer vision to detect facial emotions to improve communication.
4. Collaborative AI Systems
AI procurement chatbots or order processing can deliver a lot, such as real-time assistance, automated administrative jobs, and self-service capabilities with less human intervention.
These AI procurement chatbots give real-time assistance and self-service capabilities and empower procurement professionals to access information, make faster decisions, remove administrative burden, and finish jobs with less human intervention.
AI chatbots help suppliers and procurement staff to communicate and function better. They give the suppliers an easy and fast way of reaching procurement teams and answering their questions and requisitions in real time, enhancing supplier relationships as well as contract terms and conditions, and negotiating.
5. Human-like Responses
A significant development in NLP has been achieved with the development of models like GPT-3 and its derivatives. These models are able to produce text that is similar to human text, recognize context in long conversations, and even do things they were not originally taught.
By utilizing such sophisticated natural language processing, future chatbots will be able to have more natural, context-dependent conversations and respond to and interpret complex human communication in ways previously unimaginable.
Moreover, in the near future, chatbots will indeed turn into interactive holographic assistants. Future artificial intelligence (AI) agents will be virtual humans and assist buyers with live activities, e-learning, and trade.
6. Hyper-personalization
Hyper-personalization is the latest trend in AI chatbots. What does it mean? Chatbots can make predictions in real time regarding the needs, likes, and behavior of every user.
Large Language Models (LLMs) and reinforcement learning from human feedback (RLHF) will facilitate such an online experience. Although RLHF ensures improvement with each connection, LLMs will be responsible for exactly understanding the desire of customer.
With CRM connectivity, AI can also receive data continuously regarding previous purchases and requests. AI can thereby identify user behavior patterns much more rapidly and forecast their needs even before they happen.
7. Chatbot Specializations
Large business-specific language models can be utilized and integrated with databases and expert systems in sophisticated domains such as finance, law, and medicine.
Advanced AI biomedical models are able to design treatment regimens, perform differential medical tests, and interface with desktop equipment for real-time monitoring of patients.
Since chatbots are able to summarize a case and identify legal risks, they will become indispensable assistants in the legal profession. Financial industry chatbots will be capable of tracking transactions, detecting anomalies, and flagging suspicious activity.
Moreover, through a program's ability to recognize compliance problems and suggest sound courses of action, chatbots will enable financial professionals to stay current with complex rules.
8. Contextual Memory Coaches
AI can remember and recall information for months or years due to neural networks with longer memory, allowing chatbots to track your progress and help you plan for the future. When will this be useful? AI teachers in education will choose topics for future lessons based on their recall of past lessons.
The ability of chatbots to remember and use information from previous encounters throughout a discussion to offer more accurate and personalized responses is known as contextual memory, and it is especially useful when it comes to order processing.
This enables the chatbot to more effectively assist users with the order process by comprehending the context of their request, even if it isn't mentioned directly.
9. Multimodal AI
With chatbots' capability to support audio and video content, all customer experiences will become simpler to manage and more enjoyable.
As per the research estimates of Research and Markets, the market for voice assistants is anticipated to increase from USD 4.6 billion in 2021 to USD 99.0 billion in 2026.
Not only that, but AI is already able to "see" images and decipher the visual information that is being shown. AI can do this due to computer vision, and the chatbot craze will only increase.
Soon, websites will have virtual assistants that will remain in contact with individual users instead of using just text-based chatbots; users will soon be able to load a video or an image into a chatbot to get online advice or instructions.
Top 3 order processing and tracking chatbot platforms
I hope I was able to explain my points on what you can expect in the near future. These will not only help you understand the areas where you can work and excel, but knowing all of the points will help you prepare yourself to combat any issues that might work as a hindrance in your chatbot implementation journey.
Now, the top order processing and tracking chatbot platforms, along with their key features, are listed below for your reference.
1. Copilot.Live
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Copilot.Live is among the top and most often used multi-purpose chatbot platforms, which provides all of your current and potential clients with a customized and engaging experience. Copilot.Live allows you to create your AI agent. It functions just like a human resource.
One of Copilot's most noticeable features is its capacity to change the conversation's tempo to try to align with its conversing client. With features such as order processing and smart recommendations Copilot.Live should be your next chatbot platform to get your website customer-ready.
Not only that, we at Copilot.Live are continuously updating ourselves and are molding our chatbot as per the latest trends and technology. The one standout feature at Copilot.Live is its AI call, wherein artificial intelligence-enabled automated dialing systems offer instant responses and reduce resolution time, improving overall service.
This consequently allows businesses to handle more calls without needing more equipment. AI enhances web-based phone systems, allowing for more reliable and prompt communication.
Apart from the above-mentioned features, some of the other crucial features of the Copilot.Live chatbots are as follows:
- It is accessible in more than fifty languages.
- Automated data syncing feature.
- Permit voice calls that sound exactly like human voices.
2. ManyChat
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ManyChat is a feature-filled, rules-based e-commerce chatbot with pre-built templates that make setup easy. Implemented across 190+ countries, ManyChat is ranked as the number one customer conversation platform.
ManyChat is used by e-commerce companies to divert leads from ads to messenger bots. Your bot can also automatically respond to Facebook comments.
By offering promotions and sales, assisting leads to shop for items, and other operations, ManyChat e-commerce chatbots aid leads during the consumer process. By assisting them in returning or providing shipment details, you can also provide post-purchase support.
Some of the key features of ManyChat chatbot are as follows:
- Use Messenger to gather reviews, upsell clients, and showcase new products.
- Run contests, quizzes, and gifts with an expiration date.
- Let clients shop for products or discover exclusive offers.
3. Hubspot Chatbot Builder
HubSpot came into existence in the year 2006; however, HubSpot Chatbot Builder, purchased by Motion AI, came out in November 2015. They have 15 offices all over the world, 8,200+ staff, and 248,000 clients all over the globe today.
HubSpot contains an easy-to-use chatbot builder that one can utilize via Facebook Messenger as well as on websites. Apart from engaging with customers, the platform's chatbots can qualify leads, transfer questions to live agents, and trigger personalized email campaigns as soon as a lead makes a conversion.
Some of the most important features of the HubSpot Chatbot Builder include the following:
- Send personalized messages based on information from your contact list by integrating the platform with your CRM.
- The ability to scrape information from publicly accessible URLs, such as product pages or your knowledge base.
- No-code editor using rule-based chat flows.
Top 3 order processing and tracking chatbot examples
If I am talking about all the recent advancements and the upcoming projects that companies would implement to further enhance chatbots across their systems, then there would be no better companies than Amazon, Sephora, and H&M.
These companies have implemented chatbots for a long time and are always on their feet, looking for better enhancements and upgrades of the same. So let’s not waste any further time and start getting the gist.
1. Amazon
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This year, Amazon has driven aggressive new advances in AI, widening its investments and product innovation to satisfy the rapidly increasing demand and take advantage of the newest advancements in generative AI.
By giving Anthropic's cutting-edge models early access on AWS, this calculated move not only expands Amazon's cloud customer base but also enables the company to keep AI expertise and technology that would otherwise be advantageous to rivals.
It's an attempt to establish itself as a key AI pioneer by providing the resources and assistance required by generative AI developers. Some of the actionable strategies planned by Amazon are as follows:
- AI-powered Alexa features that enable conversational voice-based buying and selling.
- Further use of generative AI for competition analysis, product listing, strategizing, and consumer engagement.
- AI-powered video for increased product visibility and consumer engagement.
2. GoFynd
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GoFynd is a fashion apparel e-commerce store that has been thriving well for the last 10 years since its inception. The order processing and tracking chatbot used by GoFynd offers an innumerable list of crucial functionality areas that include, from time to time, order tracking, processing a cancellation, and a refund.
We, at GoFynd, from the time you place an order to the time you cancel an order and get a refund, would like to provide our users with the best possible customer experience.
By partnering with leading logistics service providers, GoFynd will provide you with the best possible customer experience by handling your order as quickly as possible and ensuring that you have a trouble-free experience when you get the product or products that you ordered on our platform.
Our reverse-logistic partners assist in returning products purchased. They will call on you to send the purchased product or products to be picked up after we accept a request to return the product or products on the platform and have properly accepted the same.
3. Flipkart
At Flipkart, where all business processes are influenced by AI, it has also turned into a key driver of operational efficiency. Delivery routes are often optimized using artificial intelligence so that products are delivered to customers as efficiently as possible.
Our AI algorithms analyze data from millions of deliveries to determine trends and suggest supply chain improvements.
Another place where AI has made a significant difference is address intelligence. AI chatbots can interpret unstructured addresses and employ machine learning algorithms to translate them accurately to specific geographic locations, boosting last-mile delivery efficiency.
Apart from that, the Flipkart chatbot also timely responds to any delivery queries set by its customers, be that for delivery rescheduling or cancelling an order, or, for that matter, a refund as well.
Top 5 benefits of order processing and tracking chatbots
Knowing the benefits that your chatbot offers will help you dig deep and traverse the competition in the easiest way. It is a rather obvious fact that while I discuss the future and its hope of order processing and tracking chatbots, I will pick up the top 5 benefits that these chatbots offer.
Some of the top benefits of using the order processing and tracking chatbots are as follows:
1. 24/7 accessibility
The most crucial thing to remember if you are a business marketer or simply a startup owner is that your clients come from varied demographics. They have different time zones, and most importantly, with the busy schedule that all of us run, the time that is convenient for you might simply be a jostling time for someone else, especially your next potential client.
With these points in mind, the initial advantage of using a chatbot is that it is available 24/7. Chatbots, being always on, are a savior for most companies when it comes to dealing with their customers directly.
Chatbots are always present from wherever, as long as you have a stable internet connection, irrespective of day or night.
2. Personalized customer support
The modern customer is used to a touch of personal experience in online retailers, video and music streaming, and social media. All of this has rationally predisposed them to the expectation of personal experience in any service category.
They expect brands to remember their behavior, purchase history, and previous interactions and use that to make them an experience that is not only useful to them but also makes life ridiculously convenient.
When the customer is given personal service, they are made to feel valued and appreciated. Personal attention can take them a long way in enhancing their satisfaction with the service.
Personalization also aims at fostering trust and loyalty. Customers tend to return and reprise business with the company once they've sensed that they have been heard and are considered in decision-making. Businesses that leave clients with experience-specific impressions typically fall into customer- and creative-based organizations from their respective.
3. Cost-effective
We all who are in any business or a startup, or, indeed, anyone who is a beginner too, know that one of the most costly elements of operating any business is labor costs. Labor costs are a major cause of cash flow issues, which are typically listed as one of the major causes of new business failure.
By replacing one or more human agents with a chatbot, business organizations will be in a position to save money on salaries, training, etc.
4. Boost sales
First impressions count, and although welcome messages are a cliché, they do work. They interact with site visitors by replicating the friendliness of a real-life greeting, similar to when you enter a physical store.
These chatbots conversationally interact with consumers. Rather than simply completing a simple form, guests interact with the quiz as though they are having a conversation, providing lead generation and engagement with a new spin.
By making these interactions more personalized, chatbots don't simply drive engagement; they make it fun and memorable, keeping visitors engaged and more likely to linger.
5. Generate leads
By obtaining important information from potential customers, chatbots excel at creating call-back requests and building a strong sales pipeline.
For example, you do not necessarily need to respond quickly when a customer inquires about your return policy. Instead, use the time to get to know them better and provide additional assistance. Showing the initiative speaks volumes about your genuine interest in serving them.
You can enhance the lead generation capacity of your app or site by personalizing these interactions, particularly for repeat visitors. While live chat is a reliable lead-generation tool, sales chatbots elevate proactive chat to a greater level because they are present continuously.
Response time is important; if you answer leads within five minutes, they are eight times more likely to close. Chatbots allow you to answer immediately and at any hour, so you're not only creating leads but closing them too.
We can expect even more intelligent, more compassionate, and more productive digital assistants due to improvements in natural language processing and deeper integration of chatbots with other emerging technologies.
There is tremendous potential for businesses. AI chatbots have the potential to transform business operations in almost every industry, from productivity and cost savings to enhanced customer experience and new business models.
If we can manage to succeed here, we shall be able to tackle a wide array of other issues, most importantly those with regard to user experience, privacy, and ethics. When AI chatbots reach maturity, it will be paramount that they act ethically in their behavior, take user privacy into account, and are open.
Moreover, creating emotionally intelligent, context-aware chatbots natively compatible with many platforms and technologies is a core technical challenge.
As per a study published on ResearchGate, chatbots also put all the company's data in one space, giving the maximum profit to the company by cutting down human intervention and work. Chatbot assists in creating a relationship with a customer. Chatbots are not only employed in business; they are also employed in applications like e-commerce, customer service, and call centers. An example is "ALICE" (Artificial Linguistic Internet Computer Entity).
