In an era of Blinkit and Zepto, your local Kirana stores have taken a hit. The 10-minute promise to deliver groceries and essentials has further oiled the wheels of our habits of instant gratification. Customer expectations have changed, and easy accessibility and convenience are significant when shopping online. So much so that people abandon their shopping carts, and purchases if asked to download an app, or if a website has too many distractions. Some want assistance while shopping, and some want ‘try on’ features to test products. Customer expectations vary with each customer and customers expect businesses to anticipate their needs, which is challenging.
In such circumstances, Artificial Intelligence (AI) can be your helping hand, and an efficient one at that. We live in a data-driven world where data abounds, but to make sense of the mounting data is where half the battle is won. Figuring out which metrics make the most sense for your business and customers, and going from there is the only way to make it to the top. It is easier said than done, but this guide will help you get back on track and find your way to the hearts of your customers.
Comprehensive Data Analysis
The amount of data available from various sources like in-app activities, purchases, web analytics, purchases, reviews, and ratings is often overwhelming and hard to decode. AI can help make sense of this data and make it digestible enough to reach meaningful conclusions essential for a business’s success. AI can run tests and optimize the process in the background all while predicting outcomes, so you and your business can stay prepared for the future.
Hyper-Personalization
According to a report from McKinsey and Company 71% of customers expect companies to deliver personalized interactions and 76% get frustrated if this doesn't happen. Personalization drives performance and companies that excel at personalization drive 40% more revenue from those activities than the average player.
Customer experience shapes your image so improving that is paramount. But tailoring customer experience across all channels is like climbing an uphill battle. Thankfully AI systems can amalgamate different customer insights and can create personalized customer experiences at scale for your customers.
AI-Automation
There's no doubt about AI’s capabilities in helping us with menial tasks that are time-consuming and prone to human error. Gartner predicts that by 2025 customer services with access to AI solutions will see a 25% boost in operational efficiency. This is great for companies that are stretched too thin and could use a little help in the form of artificial intelligence. AI is great at repetitive administrative tasks, freeing up time for humans to apply themselves to tasks more up their alley.
Anticipating Customer Needs
Anticipating customer needs is essential for a thriving business. Humans can often miss out on important customer data t about a customer’s behavior and needs. AI has championed seeking through data, catching subtle shifts in customer behavior, thus helping businesses not miss out on upsell opportunities, cross-product selling, or optimal times for engagement.
AI has immense potential but can prove risky if ethics and consumer privacy are neglected. Ensuring that the training data that the AI model is trained on is free from bias would be paramount for the best functioning of the model. AI has proved to be an accelerator of human efforts and, if used correctly, can transform the way we communicate and connect with the most important part of our business ‘customers’.
(Author - Karishma is a Content Writer at TechDoQuest. She gives fresh and youthful perspectives on whatever she writes about.)