Before the surge of e-commerce websites around the 1990s, print advertising took consumers to brick-and-mortar stores, and companies utilized salespeople's support to market their goods. Today, generic product and service reviews and digital engagement are replacing in-store visits – leaving no space for interaction when shopping. In this modern age, consumers with questions or complaints prefer to move on – leading to less engagement and lower client satisfaction.
What does a business do then? Conversational commerce is emerging as a solution to the low-contact issue of shopping online by helping create a "retro" sales experience without a storefront.
Conversational commerce is primarily all about putting together communication channels (such as live chat and AI bots/virtual assistants) into the shopping experience in such a way that it takes care of all client queries and concerns.
Users get hands-on, personalized assistance— quite similar to what they were used to before the e-commerce boom happened. In addition, through resources such as strategic outreach, companies may engage at crucial times, such as when a customer flips back and forth between two product choices or seems reluctant to check out. Conversational commerce also offers automation through AI and customized experience for every customer, which could lead to a more involved session and a probable purchase.
But how can you offer a better conversational business experience? Here are a few tips that may help.
Support Multiple Engagement Channels.
Think of them as traveling salesmen. Conversational commerce tools can meet consumers where they're already, rather than waiting for them to reach out. And these platforms are just the start of the trading journey – several voice-based apps are fast expanding their position in the conversational commerce environment.
Although some businesses are setting a cap on utilizing chatbots for digital engagements, they are working fantastically well, helping companies reach their customers easily, even beyond regular business hours.
Creating a personalized user experience
For those who are still wary of using AI for digital marketing and engagement, modern chatbots designed with NLP can easily comprehend the gist of the consumer questions – no matter how they are asked – making the process of communicating with chatbots simpler and far more efficient than ever before. In addition, AI-powered assistants often support contact center agents working behind the scenes by rapidly supplying them with data and feedback to help develop a customized user experience in real-time.
Virtual shopping assistant
A bot assistant can engage users in dialogue to comprehend their desires and interests. It can then make appropriate product recommendations to consumers on the basis of their present requirements as well as their past buying behavior. The digital engagement platform can also be used to showcase client reviews to persuade the consumer of the appropriateness of the product. Through all this, the bot pushes the customer towards concluding the purchase.
Evade Data Silos
Through breaking down data silos, businesses can study both the individual users and their respective experiences at the macro level to better explain automation and strategy alterations.
The inclusion of AI is creating a major impact in the world of digital engagements by introducing an extra layer of intelligence that can help build more personalized communication channels with consumers and significantly better outcomes for companies.
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