In the rapidly evolving world of e-commerce, where algorithms and automation reign supreme, it’s easy for small and medium-sized businesses (SMBs) to feel overwhelmed. The adoption of artificial intelligence (AI) has undoubtedly transformed the landscape, streamlined processes and enhanced efficiency. However, amidst this digital evolution, the human touch remains a powerful differentiator.
As an e-commerce entrepreneur, cultivating and nurturing a genuine human connection with your target customers is imperative. It’s not that it’s not (I know) about selling products; it’s that you will sell a lot fewer products if you do not start building digital relationships, earning trust, and creating memorable experiences. To this end, AI-driven tools have become indispensable. In this article, we list a few industry-specific strategies to infuse a human touch into your content. We’ve also included a list of useful AI-driven tools and links to their sites.
Here are some industry-specific strategies to infuse a human touch into your content and stand out in a sea of AI-driven competition:
Industry-specific Strategies
Authentic Storytelling: AI-powered content generation tools can analyze vast amounts of data to identify relevant trends, consumer preferences, and storytelling techniques. Retailers can use AI to create personalized narratives that resonate with different audience segments. Natural language processing (NLP) algorithms can help craft compelling brand stories tailored to specific demographics, ensuring authenticity and relevance.
Personalized Communication: AI-driven customer relationship management (CRM) systems can track and analyze customer interactions across various touchpoints. By integrating AI algorithms, retailers can automate personalized email campaigns, recommend products based on browsing behavior, and even generate dynamic content for individual customers. Chatbots powered by AI can provide instant responses to customer inquiries, offering personalized assistance 24/7.
Interactive Customer Support: AI-powered chatbots equipped with natural language understanding capabilities can handle routine customer inquiries and escalate complex issues to human agents when necessary. These chatbots can analyze customer sentiment in real-time, allowing retailers to proactively address concerns and provide empathetic responses. Additionally, AI-driven sentiment analysis tools can aggregate and analyze customer feedback from various channels, enabling retailers to identify areas for improvement and deliver better customer experiences.
User-Generated Content: AI algorithms can analyze user-generated content, such as reviews, social media posts, and images, to identify patterns and sentiments. Retailers can use AI-powered sentiment analysis tools to categorize user-generated content based on sentiment, identify influential customers or brand advocates, and curate authentic testimonials for marketing campaigns. Additionally, AI-driven content generation tools can assist retailers in creating personalized responses to user-generated content, fostering engagement and community building.
Community Building: AI can enhance community building efforts by analyzing customer data and behavior to identify common interests and preferences among community members. Retailers can use AI-powered recommendation engines to suggest relevant community events, discussions, or content to individual members based on their profiles and interactions. AI-driven analytics tools can also provide insights into community engagement metrics, helping retailers optimize their community-building strategies over time.
Handcrafted Experiences: AI-powered personalization engines can analyze customer data to predict preferences and tailor product recommendations, packaging designs, and personalized notes accordingly. Retailers can use AI-driven image recognition technology to customize packaging with personalized messages or designs based on customer preferences and past interactions. Additionally, AI-powered predictive analytics can anticipate customer needs and preferences, enabling retailers to proactively offer personalized experiences and surprises with each order.
Leveraging AI across these areas allows retailers to scale personalized experiences, streamline operations, and deliver more relevant and meaningful interactions with their customers. By integrating AI technologies into their marketing, customer service, and community-building efforts, retailers can enhance the human touch in their e-commerce operations while efficiently meeting the demands of a diverse and dynamic customer base.
AI-Powered Content Generation Tools
Here’s a list of AI-powered content generation tools that can assist retailers in crafting personalized narratives and compelling brand stories:
copy.aci (https://www.copy.ai/) is an AI-powered content creation platform that helps businesses generate marketing copy, social media posts, product descriptions, and more. It leverages natural language processing (NLP) algorithms to understand user inputs and generate relevant and engaging content.
Writesonic (https://writesonic.com) is an AI writing assistant that helps users generate blog posts, articles, emails, and other types of content. It uses machine learning algorithms to analyze user inputs and provide tailored suggestions and templates.
Conversion.ai (https://conversionai.com/) is an AI-powered copywriting tool designed to help businesses create high-converting content. It uses advanced language models to generate persuasive copy for ads, landing pages, emails, and more.
Jarvis.ai (https://jarvis.cx/) is an AI copywriting assistant that uses natural language processing (NLP) technology to generate content based on user inputs. It can create blog posts, social media captions, product descriptions, and other types of content.
CopySmith (https://copysmith.ai/) is an AI-powered content generation platform that helps businesses create marketing copy, blog posts, product descriptions, and more. It uses machine learning algorithms to generate content tailored to specific audiences and objectives.
ShortlyAI (https://www.shortlyai.com/) is an AI writing tool that uses natural language processing (NLP) technology to generate human-like text based on user prompts. It can assist with various types of content creation, including blog posts, articles, emails, and social media updates.
These AI-powered content generation tools can significantly streamline the content creation process for retailers, allowing them to produce high-quality, personalized content at scale. However, it’s essential to note that while these tools can assist in content creation, human oversight and editing are still necessary to ensure accuracy, coherence, and brand alignment. Think of it as editing rough drafts.
AI-Driven Customer Relationship Management (CRM) systems
Here’s a list of AI-driven Customer Relationship Management (CRM) systems that can track and analyze customer interactions across various touchpoints:
Salesforce Einstein is an AI-powered CRM platform that offers predictive analytics, automated lead scoring, and personalized recommendations. It uses machine learning algorithms to analyze customer data and behavior, enabling businesses to deliver more targeted marketing campaigns and personalized customer experiences.
Microsoft Dynamics 365 AI: Microsoft Dynamics 365 AI is a suite of AI-driven CRM applications that includes features such as predictive lead scoring, sentiment analysis, and virtual agents. It uses AI and machine learning to analyze customer interactions and provide insights that help businesses improve sales and customer service processes.
Zoho CRM Plus is an AI-powered CRM platform that combines sales, marketing, and customer support functionalities. It offers features such as predictive analytics, intelligent workflows, and AI-driven chatbots to help businesses engage with customers more effectively across different channels.
HubSpot CRM is a free CRM platform that offers AI-powered features such as predictive lead scoring, email tracking, and chatbots. It uses machine learning algorithms to analyze customer data and provide insights that help businesses optimize their sales and marketing strategies.
Oracle CX Cloud Suite is an AI-driven CRM platform that includes sales, marketing, and service automation capabilities. It offers features such as predictive analytics, personalized recommendations, and virtual assistants to help businesses deliver more personalized customer experiences.
SAP Sales Cloud is an AI-powered CRM platform that offers features such as predictive forecasting, opportunity scoring, and sentiment analysis. It uses machine learning algorithms to analyze customer data and provide insights that help businesses drive sales and improve customer satisfaction.
SugarCRM Hint is an AI-powered CRM tool that helps businesses enrich customer data by automatically searching and updating contact information from various sources. It uses AI and machine learning to analyze customer interactions and provide insights that help businesses better understand their customers.
These AI-driven CRM systems enable businesses to track and analyze customer interactions across multiple touchpoints, allowing them to deliver more personalized and relevant experiences to their customers. By leveraging AI and machine learning technologies, businesses can gain valuable insights into customer behavior and preferences, leading to improved sales, marketing, and customer service outcomes.
AI-Powered Natural Language Chatbot Platforms
Here’s a list of AI-powered chatbot platforms equipped with natural language understanding capabilities that can handle routine customer inquiries and escalate complex issues to human agents when necessary:
Dialogflow (by Google Cloud) is a natural language understanding platform that enables businesses to build AI-powered chatbots and conversational interfaces. It uses machine learning algorithms to understand and respond to user queries in natural language, allowing businesses to automate customer support and engage with users across various channels.
IBM Watson Assistant is an AI-powered chatbot platform that uses natural language processing (NLP) and machine learning to understand user queries and provide personalized responses. It allows businesses to build virtual assistants that can handle routine customer inquiries and escalate complex issues to human agents when necessary.
Amazon Lex is a chatbot-building platform that uses deep learning algorithms to understand and respond to user input in natural language. It enables businesses to build conversational interfaces for their applications and automate customer support processes using AI-powered chatbots.
Microsoft Bot Framework is a development framework that enables businesses to build, deploy, and manage AI-powered chatbots across multiple channels. It uses natural language processing (NLP) and machine learning to understand user queries and provide intelligent responses, allowing businesses to automate customer support and engage with users more effectively.
Zendesk Chat (formerly Zopim) is a live chat software that offers AI-powered chatbots with natural language understanding capabilities. It uses machine learning algorithms to analyze customer inquiries and provide automated responses, allowing businesses to handle routine support queries efficiently and escalate complex issues to human agents when necessary.
LivePerson is a conversational AI platform that offers AI-powered chatbots and virtual assistants for customer engagement. It uses natural language understanding (NLU) and machine learning to interpret user intent and provide personalized responses, enabling businesses to automate customer support and improve customer satisfaction.
Kustomer is a customer service CRM platform that offers AI-powered chatbots and automation capabilities. It uses natural language processing (NLP) and machine learning to understand and respond to customer inquiries, allowing businesses to streamline customer support processes and provide faster resolutions to common issues.
These AI-powered chatbot platforms equipped with natural language understanding capabilities enable businesses to automate customer support processes, handle routine inquiries efficiently, and provide personalized responses to users. By leveraging AI and machine learning technologies, businesses can improve customer satisfaction, reduce response times, and scale their customer support operations effectively.
AI-Powered User-Generated Content Analytic Tools and Platforms
Here’s a list of AI-powered tools and platforms that utilize algorithms to analyze user-generated content, such as reviews, social media posts, and images, to identify patterns and sentiments:
MonkeyLearn is a text analysis platform that offers pre-trained models for sentiment analysis, topic categorization, and entity extraction. It uses machine learning algorithms to analyze user-generated content from various sources, including social media, reviews, and surveys, to extract insights and identify patterns.
Brandwatch is a social listening and analytics platform that uses AI-powered algorithms to analyze user-generated content from social media, news sites, forums, and blogs. It provides sentiment analysis, trend detection, and competitive benchmarking capabilities to help businesses understand public opinion and sentiment around their brand.
Sprinklr is a social media management platform that offers AI-powered analytics and sentiment analysis tools. It uses machine learning algorithms to analyze user-generated content on social media platforms and identify sentiment trends, key topics, and influencers relevant to a brand or industry.
Lexalytics is a text analytics platform that offers sentiment analysis, entity recognition, and theme extraction capabilities. It uses natural language processing (NLP) and machine learning algorithms to analyze user-generated content from social media, surveys, and reviews, helping businesses understand customer opinions and sentiment.
Clarabridge is a customer experience management platform that offers AI-powered text analytics and sentiment analysis tools. It uses machine learning algorithms to analyze user-generated content from various sources, including social media, reviews, and customer feedback, to extract insights and identify sentiment trends.
NetBase Quid is a social analytics platform that offers AI-powered text analytics and sentiment analysis tools. It uses natural language processing (NLP) and machine learning algorithms to analyze user-generated content from social media, news sites, and forums, providing insights into customer sentiment, trends, and preferences.
Aspectiva (acquired by Bazaarvoice) is an AI-powered product review analysis platform that uses natural language processing (NLP) algorithms to analyze user-generated content from e-commerce websites and social media platforms. It provides sentiment analysis, opinion mining, and product attribute extraction capabilities to help businesses understand customer feedback and sentiment.
These AI-powered tools and platforms enable businesses to analyze user-generated content, such as reviews, social media posts, and images, to identify patterns, sentiments, and trends. By leveraging machine learning and natural language processing (NLP) algorithms, businesses can gain valuable insights into customer opinions, preferences, and behaviors, helping them make informed decisions and improve their products, services, and marketing strategies.
AI-Powered Community Building Tools and Platforms
Here’s a list of AI-powered tools and platforms that can enhance community building efforts by analyzing customer data and behavior to identify common interests and preferences among community members:
CommunityCloud by Salesforce is a platform that enables businesses to build branded online communities where customers, partners, and employees can connect and collaborate. It uses AI-powered analytics to analyze user interactions and identify common interests and preferences among community members, allowing businesses to tailor content and engagement strategies accordingly.
Vanilla Forums is a community engagement platform that offers AI-powered analytics and personalization features. It uses machine learning algorithms to analyze user behavior and identify common interests and preferences among community members, enabling businesses to deliver personalized content and recommendations.
Higher Logic is a community engagement platform that offers AI-powered analytics and engagement tools. It uses machine learning algorithms to analyze user data and identify patterns in community interactions, allowing businesses to better understand their audience and tailor engagement strategies to meet their needs.
Discourse is an open-source discussion platform that offers AI-powered analytics and engagement features. It uses machine learning algorithms to analyze user behavior and identify common interests and preferences among community members, helping businesses foster connections and facilitate meaningful discussions.
Influitive is an advocacy and community engagement platform that offers AI-powered analytics and engagement tools. It uses machine learning algorithms to analyze user data and identify influential community members, enabling businesses to leverage their expertise and build stronger relationships with their audience.
CMNTY Platform is a community engagement platform that offers AI-powered analytics and personalization features. It uses machine learning algorithms to analyze user behavior and identify common interests and preferences among community members, allowing businesses to deliver targeted content and experiences.
Hivebrite is a community engagement platform that offers AI-powered analytics and engagement tools. It uses machine learning algorithms to analyze user data and identify patterns in community interactions, helping businesses understand their audience and tailor engagement strategies to drive participation and loyalty.
These AI-powered tools and platforms enable businesses to analyze customer data and behavior to identify common interests and preferences among community members, fostering stronger connections and facilitating meaningful interactions. By leveraging AI-powered analytics and engagement features, businesses can create more personalized and engaging community experiences, driving participation and loyalty.
AI-Powered Personalization Engines
Here’s a list of AI-powered personalization engines that can analyze customer data to predict preferences and tailor product recommendations, packaging designs, and personalized notes accordingly:
Adobe Target is a personalization and optimization platform that uses AI-powered algorithms to analyze customer data and deliver personalized experiences across web, mobile, and other digital channels. It offers features such as automated personalization, predictive analytics, and audience segmentation to help businesses maximize engagement and conversions.
Optimizely is an experimentation and personalization platform that uses AI-driven algorithms to analyze customer data and deliver personalized experiences. It offers features such as AI-powered recommendations, behavioral targeting, and predictive analytics to help businesses optimize their digital experiences and drive conversions.
Sailthru (by CM Group) is a customer engagement platform that uses AI-driven algorithms to analyze customer data and deliver personalized experiences across email, web, and mobile channels. It offers features such as predictive modeling, dynamic content, and lifecycle optimization to help businesses increase engagement and loyalty.
RichRelevance is a personalization platform that uses AI-powered algorithms to analyze customer data and deliver personalized product recommendations and content. It offers features such as real-time personalization, omnichannel targeting, and behavioral segmentation to help businesses enhance the customer experience and drive revenue.
Barilliance is a personalization platform that uses AI-driven algorithms to analyze customer data and deliver personalized product recommendations and marketing messages. It offers features such as personalized emails, on-site messaging, and cart abandonment recovery to help businesses increase conversions and revenue.
Monetate (by Kibo Commerce) is a personalization platform that uses AI-powered algorithms to analyze customer data and deliver personalized experiences across web, mobile, and email channels. It offers features such as product recommendations, content personalization, and A/B testing to help businesses optimize their digital experiences and drive revenue.
These AI-powered personalization engines enable businesses to analyze customer data and predict preferences, allowing them to tailor product recommendations, packaging designs, and personalized notes accordingly. By leveraging AI-driven algorithms, businesses can create more relevant and engaging experiences for their customers, driving satisfaction, loyalty, and ultimately, revenue.
Please note that some of these platforms may require registration or subscription to access their full features and services.
