How AI and big data techniques improve customer’s satisfaction ratio

Machine Learning for Customer Experience

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Using big data and AI to better grasp consumer trends and needs is critical to connecting with them personally and winning their loyalty. Today, brands that rely on traditional customer engagement channels and systems lack the capacity to manage and decipher crucial consumer data. Such data can help a business to identify missed sales opportunities, track the cause of bounce rate and turn them around into steady revenue streams.

360-Degree View

Discerning brands are leveraging the power of big data and AI to exploit a 360-degree view of different consumer clusters. It helps in gathering humongous quantities of customer data and thereafter identifies emerging shopper trends and tastes.

The combination of AI and big data has unique possibilities that help businesses to build and improve use/consumer satisfaction. Market research shows that improving customer experience is huge for over 80% of companies. With technology and new platforms, a business can appeal to its target market in savvy ways that translate into customer loyally years on.

Boosts Innovative Product Experiences

From an AI perspective, tech-savvy platforms evaluate a huge array of user-provided data points that are crucial in the AI and machine learning app development. Developers get the capability to prioritize the knowledge that boosts innovative product experiences while making maximum use of personalized marketing campaigns. Exponentially, AI and big data help app developers and marketers to:

  • Personalize user experience and improve brand appeal.
  • Point out desirable targets and markets.
  • Understand consumer, preferred tastes, shopping behaviors, and expectations.
  • Boost customer engagement on a personal level.

AI Aids Personalisation

Despite the positive impact of AI and big data, the consumer remains the most critical part of the equation. On its own, AI cannot thrive without the presence of crucial data and the use of knowledge gathered at every step of the consumer journey. As such, it becomes imperative for a business to prioritize on gathering key data, identify customer’s lifetime value and leverage emergent data to enhance the user’s experience through the funnel.

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Today’s consumer is highly emancipated and seeks personalized engagement. Data and analytics help marketers to better understand the consumer’s preference, entering big data, geolocation, and social data becomes easy to offer personalized engagement based on the consumers T&Cs. Further, the use of algorithms to build highly targeted campaigns translates into improved responses to the intended call to action.

Saves Customers Time

When filtered and matched to corresponding market targets, customers benefit from targeted offers instead of wasting time rifling through irrelevant non-contextual content. Such a non-targeted approach could lower the click-through rate and ultimately the conversions. The array of cognitive technologies in AI and big data enable marketers to:

  • Actively fast-track decision making to satisfy customers looking for an instant response.
  • Improve conflict resolution and customer’s problems.
  • Boost operational efficiency- fast call centre response.
  • Innovate products and services to appeal to consumers by adding features and new approaches.

AI And Big Data Recommend Products and Promotions

AI and the IoT present marketers with the power of predictive analysis. This augments cross-selling and helps attract more prospects. It’s easy to match customer demands based on attributes or previous shopping habits. It helps create offers since you can decipher a particular customer’s progression when browsing for products.

Using AI and big data to evaluate shopper’s sentiments lets a business to perk up the customer experience. For instance, product reviews relating to quality or price tells you what a consumer expects in the future. Small and established eCommerce giants are using AI to capture a customer’s entire journey including site visitors, click through habits. With an app in use, it leads a consumer to valuable products based on app’s algorithmic tracking.

Enhanced Customer Service

AI impacts customer service by automating and making the entire process hassle-free. AI will “makeover” the process using chatbots. These bots enhance personalized responses round the clock, no more demanding delays and human error when resolving conflicts. On the other hand, virtual assistants work with machine learning on a prompt basis. Consumers can “employ” them to find what they need via simulated conversations.

AI and Big Data Transform App Development

The digital era has led to data proliferation. This is collected via social mediums mobile devices or apps. Developers can then use this data to polish up their AI and machine learning app development processes. With real-time insights, better apps are built with the sole aim of improving customer satisfaction.

Improved End-To-End Interaction

The modern shopper makes decisions from an emotional standpoint. Using AI and big data to appease a shopper through a seamless shopping experience makes the difference. It equals the need for quality products and service, meaning a consumer will choose a brand that can fulfill all these within a single engagement.

The powerful analytics derived from AI and big data as its marketers in studying the progression of a buyer through the sales funnel. Communication wise, AI helps improve end-to-end interaction if consumers feel that agents on the other end are not helpful. Customer loyalty is critical and businesses that invest in AI and big data tools will deliver a more personalized experience. By doing so, it’s easy to streamline operations, enhance customer loyalty and grow your revenue.

How AI and big data techniques improve customer’s satisfaction ratio