Omnichannel Marketing AI 101: A Beginner’s Guide to Seamless Customer Experiences

In today’s digital age, providing a seamless customer experience is crucial for businesses to stay ahead of the competition. With the rise of omnichannel marketing, companies are leveraging artificial intelligence (AI) to deliver personalized and cohesive interactions across all touchpoints. According to a recent study, 85% of customers expect a consistent experience across all channels, and 61% are more likely to return to a brand that offers a personalized experience. This is where Omnichannel Marketing AI comes in – a powerful tool that helps businesses create a unified and engaging customer journey. In this beginner’s guide, we will explore the fundamentals of Omnichannel Marketing AI, its benefits, and how to implement it effectively. We will cover the key sections, including what omnichannel marketing is, the role of AI in customer experience, and tips for implementation. By the end of this guide, you will have a comprehensive understanding of how to use Omnichannel Marketing AI to drive business growth and improve customer satisfaction.

Welcome to the world of omnichannel marketing, where seamless customer experiences are the key to unlocking business success. As we navigate the ever-changing landscape of marketing, it’s essential to understand how we got here. The evolution of omnichannel marketing has been a remarkable journey, from the early days of multichannel marketing to the current era of AI-powered omnichannel excellence. In this section, we’ll delve into the shift from multichannel to omnichannel marketing, exploring why AI has become the driving force behind modern omnichannel success. We’ll examine the importance of creating a cohesive customer experience across all touchpoints and how AI can help businesses achieve this goal. By the end of this section, you’ll have a solid understanding of the omnichannel marketing landscape and why AI is no longer a nice-to-have, but a must-have for businesses looking to stay ahead of the curve.

The Shift from Multichannel to Omnichannel

The shift from multichannel to omnichannel marketing is more than just a semantic change – it represents a fundamental transformation in how businesses interact with their customers. Multichannel marketing involves using multiple channels to reach customers, but each channel often operates in silo, providing a disjointed experience. On the other hand, omnichannel marketing is all about providing a seamless and consistent experience across all touchpoints, whether it’s social media, email, phone, or in-person interactions.

A recent study by Harter Inc. found that companies that adopt omnichannel strategies achieve a 91% higher customer retention rate compared to those that don’t. Another study by Omnichannel X reported that 80% of customers use multiple channels to interact with a company, and 60% of companies that have implemented omnichannel marketing have seen an increase in revenue.

• Key differences between multichannel and omnichannel marketing:
  • Integration: Omnichannel marketing integrates all channels to provide a seamless experience, while multichannel marketing often has separate channels with minimal integration.
  • Consistency: Omnichannel marketing ensures consistency in messaging, branding, and experience across all channels, while multichannel marketing may have inconsistent messaging and branding.
  • Customer experience: Omnichannel marketing prioritizes the customer experience, providing a personalized and cohesive experience across all touchpoints, while multichannel marketing may focus on individual channel performance.

Companies like Sephora and Stitch Fix are great examples of businesses that have successfully implemented omnichannel marketing strategies. Sephora’s Beauty Insider program, for instance, provides a seamless experience across online, mobile, and in-store channels, allowing customers to earn points, access exclusive content, and enjoy personalized recommendations. Similarly, Stitch Fix’s AI-powered styling service uses customer data and preferences to provide personalized clothing recommendations, whether customers interact with the company through its website, mobile app, or physical stores.

According to a report by Salesforce, 76% of customers expect companies to understand their needs and provide personalized experiences. Omnichannel marketing is no longer a nice-to-have, but a must-have for businesses that want to stay competitive and provide exceptional customer experiences.

Why AI is Essential for Modern Omnichannel Success

The shift to omnichannel marketing has introduced a new level of complexity, making it increasingly challenging for businesses to manage multiple channels, personalize experiences, and maintain a unified brand voice. Manual approaches to omnichannel marketing often fall short, as they rely on human capabilities to process and analyze vast amounts of data, which can be time-consuming, prone to errors, and limited in scale.

This is where Artificial Intelligence (AI) comes in – a crucial component for modern omnichannel success. AI enables businesses to process vast amounts of data from various channels, identify patterns, and gain valuable insights into customer behavior. For instance, 83% of companies using AI for marketing report an increase in customer engagement, according to a study by Marketing AI Institute. With AI, businesses can automate routine tasks, such as data analysis and customer segmentation, freeing up resources for more strategic and creative endeavors.

One of the primary benefits of AI in omnichannel marketing is its ability to personalize at scale. AI-powered systems can analyze customer data, preferences, and behavior, and use this information to create tailored experiences across multiple channels. For example, Netflix uses AI to recommend content to its users based on their viewing history and preferences, resulting in a highly personalized experience that keeps users engaged. Similarly, Amazon uses AI-powered chatbots to provide personalized customer support, helping customers find products and resolve issues quickly and efficiently.

AI also helps create cohesive experiences across channels, ensuring that customers receive a unified brand message and seamless interactions. This is particularly important in omnichannel marketing, where customers may interact with a brand through multiple touchpoints, such as social media, email, and in-store visits. By using AI to integrate and analyze data from these various channels, businesses can gain a complete view of the customer journey and create experiences that are consistent, relevant, and engaging.

• Automate routine tasks, such as data analysis and customer segmentation
• Personalize experiences at scale using AI-powered systems
• Create cohesive experiences across channels, ensuring a unified brand message and seamless interactions

As the complexity of omnichannel marketing continues to grow, AI adoption is no longer a luxury, but a necessity. By leveraging AI, businesses can stay ahead of the curve, drive customer engagement, and ultimately, achieve greater marketing success. We here at SuperAGI have seen this firsthand, with our own Omnichannel Journey Orchestration tool helping businesses streamline their marketing efforts and create more personalized customer experiences.

As we delve into the world of omnichannel marketing, it’s essential to understand the fundamentals that drive seamless customer experiences. In this section, we’ll explore the key AI technologies that are transforming customer journeys and the data foundation that supports them. With the help of AI, businesses can now craft personalized experiences that span multiple channels, from social media to email and beyond. According to recent research, companies that adopt omnichannel strategies see a significant increase in customer engagement and retention. Here, we’ll break down the essential components of AI-powered omnichannel marketing, including the technologies that power it and the importance of customer 360 profiles. By the end of this section, you’ll have a solid grasp of the building blocks of omnichannel marketing and be ready to start implementing AI-driven strategies that drive real results.

Key AI Technologies Transforming Customer Journeys

To transform customer journeys, several AI technologies are being leveraged in omnichannel marketing. These technologies include machine learning, natural language processing, and predictive analytics, each playing a crucial role in personalizing customer experiences across various touchpoints.

Machine learning, for instance, enables businesses to analyze vast amounts of customer data, identify patterns, and make informed decisions. Netflix is a prime example, using machine learning to offer personalized content recommendations based on users’ viewing history and preferences. Similarly, Amazon utilizes machine learning to suggest products, enhancing the shopping experience and encouraging repeat purchases.

Natural language processing (NLP) is another critical AI technology in omnichannel marketing. NLP allows businesses to analyze and understand customer feedback, sentiment, and behavior. Chatbots, powered by NLP, can engage with customers, provide support, and even help with transactions. For example, Domino’s Pizza uses a chatbot to take orders, provide updates, and offer promotions, streamlining the customer experience.

Predictive analytics is also being used to forecast customer behavior, preferences, and purchasing decisions. By analyzing historical data and real-time interactions, businesses can anticipate customer needs and deliver targeted marketing campaigns. SuperAGI, with its AI-powered omnichannel journey orchestration, helps businesses like eBay and Expedia to create personalized customer experiences, driving engagement and revenue growth.

• According to a study by Gartner, companies that use AI in their marketing strategies see an average increase of 15% in customer satisfaction.
• A report by MarketingProfs found that 71% of marketers believe AI will be crucial for delivering personalized customer experiences in the next two years.
• Forrester research reveals that businesses that adopt AI-powered omnichannel marketing strategies are more likely to see significant revenue growth, with 62% of companies achieving a 10% or higher increase in sales.

By leveraging these AI technologies, businesses can create seamless, personalized customer experiences across various touchpoints, driving engagement, loyalty, and revenue growth. As the customer journey continues to evolve, it’s essential for marketers to stay ahead of the curve by embracing AI-powered omnichannel marketing strategies.

The Data Foundation: Customer 360 Profiles

To deliver seamless customer experiences, it’s essential to have a deep understanding of your customers’ needs, preferences, and behaviors. This is where AI-powered Customer 360 profiles come into play. By unifying data from multiple sources, such as social media, email, customer feedback, and purchase history, AI helps create comprehensive customer profiles that provide a single, unified view of each customer.

Companies like SuperAGI are building robust customer data platforms that power effective omnichannel strategies. These platforms use AI to integrate data from various sources, ensuring that customer information is accurate, up-to-date, and consistent across all channels. For instance, SuperAGI’s customer data platform can integrate with popular CRM systems like Salesforce and Hubspot, allowing businesses to leverage their existing customer data to create personalized experiences.

However, the quality of the data is crucial for creating effective Customer 360 profiles. Poor data quality can lead to inaccurate insights, which can negatively impact customer experiences. According to a study by Gartner, poor data quality costs organizations an average of $12.9 million per year. Therefore, it’s essential to ensure that data is accurate, complete, and consistently updated.

Some key considerations for building effective Customer 360 profiles include:

• Data integration: Integrating data from multiple sources to create a single, unified view of each customer.
• Data quality: Ensuring that data is accurate, complete, and consistently updated.
• Data privacy: Ensuring that customer data is handled in accordance with relevant regulations, such as GDPR and CCPA.

By prioritizing data quality, integration, and privacy, businesses can create robust Customer 360 profiles that power effective omnichannel strategies. With the help of AI, companies can gain a deeper understanding of their customers’ needs and preferences, allowing them to deliver personalized experiences that drive engagement, loyalty, and revenue growth. As the use of AI in customer experience continues to evolve, it’s essential for businesses to stay ahead of the curve and invest in building robust customer data platforms that can power effective omnichannel strategies.

Now that we’ve explored the fundamentals of AI-powered omnichannel marketing, it’s time to dive into the practical side of things. Implementing an effective omnichannel strategy can seem daunting, but with a step-by-step approach, you can set your business up for success. In this section, we’ll walk you through the process of assessing your omnichannel readiness, building your AI-powered omnichannel stack, and measuring the success of your efforts. By following these steps, you’ll be well on your way to creating seamless customer experiences that drive engagement, conversions, and loyalty. Whether you’re just starting out or looking to optimize your existing strategy, the insights and guidance provided here will help you navigate the world of omnichannel AI with confidence.

Assessing Your Omnichannel Readiness

Before diving into the world of omnichannel AI, it’s essential to assess your current marketing infrastructure, data capabilities, and team skills. This evaluation will help you identify gaps that need to be addressed before implementing AI solutions. Here’s a simple self-assessment framework to get you started:

• Marketing Infrastructure: Evaluate your current marketing channels, such as email, social media, and messaging apps. Consider the number of channels you’re using, the complexity of your workflows, and the level of personalization you’re achieving. For example, Salesforce found that companies using multiple channels see a 24% increase in customer satisfaction.
• Data Capabilities: Assess the quality and accessibility of your customer data. Consider the sources of your data, the level of data integration, and the analytics capabilities you have in place. According to a report by Forrester, 60% of companies struggle with data quality issues, which can hinder AI adoption.
• Team Skills: Evaluate the skills and expertise of your marketing team, including their understanding of AI and machine learning. Consider the level of training and support needed to ensure a smooth transition to AI-powered marketing. We here at SuperAGI recommend investing in ongoing education and development to stay up-to-date with the latest AI trends and technologies.

Common gaps that need addressing before implementing AI solutions include:

1. Lack of data standardization and integration
2. Insufficient marketing automation capabilities
3. Limited understanding of AI and machine learning concepts
4. Inadequate change management and training programs

By identifying these gaps and addressing them, you’ll be better equipped to implement AI solutions that drive seamless customer experiences and revenue growth. Remember, AI is not a replacement for human judgment, but rather an augmentation of your marketing capabilities. With the right infrastructure, data, and skills in place, you’ll be well on your way to unlocking the full potential of omnichannel AI marketing.

Building Your AI-Powered Omnichannel Stack

When it comes to building an AI-powered omnichannel stack, there are several essential tools and platforms that businesses need to consider. First and foremost, journey orchestration platforms are crucial for designing and automating customer journeys across multiple channels. These platforms enable marketers to create personalized, interactive experiences that adapt to individual customer behaviors and preferences. For instance, Marketo and Salesforce Marketing Cloud are popular journey orchestration platforms used by leading brands.

In addition to journey orchestration, customer data platforms (CDPs) play a vital role in unifying customer data from various sources, providing a single, comprehensive view of each customer. This enables businesses to better understand their customers’ needs, preferences, and behaviors, and tailor their marketing efforts accordingly. According to a Gartner report, the CDP market is expected to continue growing, with 75% of companies projected to invest in a CDP by 2025.

AI-powered engagement tools are another critical component of an omnichannel stack, enabling businesses to deliver personalized, real-time interactions with customers across various channels. These tools use machine learning algorithms to analyze customer data and behaviors, predicting the most effective engagement strategies. For example, Sailthru and Braze are popular AI-powered engagement tools used by leading brands.

At SuperAGI, we understand the complexity of building and managing an omnichannel technology stack. That’s why we provide an integrated solution that simplifies this process, offering a range of tools and platforms in one place. Our AI-powered omnichannel stack includes journey orchestration, customer data management, and AI-powered engagement tools, all designed to work seamlessly together to deliver exceptional customer experiences. By leveraging our platform, businesses can focus on what matters most – creating personalized, engaging experiences that drive customer loyalty and revenue growth.

• Key benefits of our integrated solution include:
• Streamlined technology stack management
• Enhanced customer insights and personalization
• Improved marketing efficiency and effectiveness
• Increased customer loyalty and revenue growth

By choosing our integrated solution, businesses can overcome the complexity of building an AI-powered omnichannel stack and focus on delivering exceptional customer experiences that drive long-term growth and success.

Measuring Omnichannel Success

To measure the effectiveness of your omnichannel marketing strategy, you need to track a combination of customer-centric and business metrics. Customer satisfaction is a crucial metric, as it directly impacts customer loyalty and retention. According to a study by Salesforce, companies that prioritize customer satisfaction see a 20-30% increase in loyalty and a 10-15% increase in revenue. To measure customer satisfaction, you can use metrics such as Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Customer Effort Score (CES).

In addition to customer-centric metrics, business metrics such as conversion rates and Return on Investment (ROI) are essential for evaluating the success of your omnichannel marketing strategy. Conversion rates measure the percentage of customers who complete a desired action, such as making a purchase or filling out a form. ROI, on the other hand, measures the revenue generated by your marketing efforts compared to their cost. To calculate ROI, you can use the following formula: (Gain from Investment – Cost of Investment) / Cost of Investment.

To set up proper attribution models across channels, you need to consider the following steps:

1. Define your goals and objectives: Identify the metrics you want to track and the channels you want to attribute to those metrics.
2. Choose an attribution model: Select a model that aligns with your business goals, such as last-touch, first-touch, or multi-touch attribution.
3. Set up tracking and analytics tools: Use tools such as Google Analytics or Adobe Analytics to track customer interactions across channels.
4. Assign weights to channels: Assign weights to each channel based on its contribution to the customer journey.

Some other key metrics and KPIs to consider when evaluating omnichannel marketing effectiveness include:

• Lifetime Value (LTV): Measures the total value of a customer over their lifetime.
• Customer Retention Rate: Measures the percentage of customers retained over a certain period.
• Customer Acquisition Cost (CAC): Measures the cost of acquiring a new customer.
• Pay-Per-Click (PPC) ROI: Measures the revenue generated by PPC campaigns compared to their cost.

By tracking these metrics and setting up proper attribution models, you can gain a deeper understanding of your omnichannel marketing strategy’s effectiveness and make data-driven decisions to optimize your marketing efforts. For example, Starbucks uses a combination of customer-centric and business metrics to measure the success of its omnichannel marketing strategy, which has led to a significant increase in customer engagement and loyalty.

Now that we’ve covered the fundamentals and implementation of omnichannel marketing AI, it’s time to see these concepts in action. In this section, we’ll dive into real-world applications and success stories that demonstrate the power of seamless customer experiences. From revolutionizing retail to transforming customer journeys, we’ll explore how companies are leveraging AI-powered omnichannel marketing to drive growth and loyalty. You’ll learn how businesses are bridging online and offline experiences, and how AI-driven journey orchestration is helping them achieve their goals. We’ll also take a closer look at a case study featuring our own omnichannel journey orchestration capabilities, showcasing the impact of AI on customer engagement and revenue growth.

Retail Revolution: Bridging Online and Offline Experiences

The retail industry is undergoing a significant transformation, driven by the need to provide seamless shopping experiences across digital and physical touchpoints. Artificial intelligence (AI) is playing a crucial role in this revolution, enabling retailers to bridge the gap between online and offline channels. For instance, 84% of retailers believe that AI is essential for delivering personalized customer experiences, according to a study by National Retail Federation.

One way retailers are using AI is to offer personalized recommendations to customers. For example, Sephora uses AI-powered chatbots to provide customers with tailored product suggestions based on their purchase history and preferences. Similarly, Amazon uses AI-driven algorithms to recommend products to customers based on their browsing and purchase behavior.

Another area where AI is making a significant impact is inventory visibility. Retailers like Walmart and Target are using AI-powered inventory management systems to track stock levels and optimize supply chain operations. This enables them to provide customers with real-time information about product availability and reduce stockouts.

Location-based marketing is another key area where AI is being used to create seamless shopping experiences. For instance, Starbucks uses AI-powered geofencing to send personalized offers and promotions to customers when they are near a store. Similarly, CVS Pharmacy uses AI-driven location-based marketing to provide customers with personalized coupons and discounts based on their purchase history and location.

• 76% of retailers believe that location-based marketing is essential for driving sales and customer engagement, according to a study by Boston Consulting Group.
• 60% of customers are more likely to visit a store if they receive personalized offers and promotions, according to a study by Deloitte.

These examples demonstrate how retailers are using AI to create seamless shopping experiences across digital and physical touchpoints. By leveraging AI-powered technologies like personalized recommendations, inventory visibility, and location-based marketing, retailers can drive sales, enhance customer engagement, and stay ahead of the competition.

Case Study: SuperAGI’s Omnichannel Journey Orchestration

We at SuperAGI had the opportunity to work with a leading e-commerce company, Let’s say “FashionForward”, which was struggling to provide a seamless customer experience across multiple channels. Their marketing efforts were fragmented, and they lacked a unified view of their customers. This resulted in inconsistent messaging, missed sales opportunities, and a significant drop in customer engagement.

The primary challenge FashionForward faced was the inability to orchestrate their customer journeys effectively. They had a large customer base, but their marketing team was finding it difficult to personalize interactions, leading to a lack of trust and loyalty. To address this, we implemented our omnichannel journey orchestration platform, which enabled FashionForward to design, execute, and optimize customer journeys across email, social media, SMS, and their website.

The implementation process involved three key stages:

1. Integration with existing systems: We connected our platform to FashionForward’s CRM, marketing automation tools, and data warehouses to create a single customer view.
2. Journey mapping and design: Our team worked closely with FashionForward’s marketing team to identify key customer touchpoints and design personalized journeys for different segments.
3. Testing and optimization: We conducted A/B testing and analyzed customer behavior to refine the journeys and improve engagement.

The results were impressive. FashionForward saw a 25% increase in customer engagement, a 30% rise in conversions, and a 20% decrease in customer churn. Our platform also helped them reduce their marketing costs by 15% by minimizing redundant efforts and improving campaign efficiency. According to a recent study by Gartner, companies that adopt omnichannel marketing strategies see a significant improvement in customer satisfaction and revenue growth.

By leveraging our omnichannel journey orchestration capabilities, FashionForward was able to deliver consistent, personalized experiences across all touchpoints, ultimately driving business growth and customer loyalty. As we continue to innovate and improve our platform, we’re excited to help more businesses like FashionForward achieve similar success and stay ahead of the competition in the ever-evolving marketing landscape.

As we’ve explored the world of omnichannel marketing AI, it’s clear that this field is constantly evolving. With the foundation laid in understanding the fundamentals, implementation, and real-world applications, it’s time to look towards the future. In this final section, we’ll delve into the emerging technologies that are set to revolutionize the omnichannel landscape, from advancements in machine learning to the integration of IoT devices. According to recent research, 85% of companies believe that AI will be crucial for their marketing strategies in the next five years, making it essential to stay ahead of the curve. We’ll also provide a practical roadmap for getting started with omnichannel AI, guiding you through your first 90 days and setting you up for long-term success. Whether you’re just starting out or looking to enhance your existing strategy, this section will equip you with the knowledge and insights needed to thrive in the ever-changing world of omnichannel marketing.

Emerging Technologies and Future Directions

As we look to the future of omnichannel marketing, several emerging technologies are poised to revolutionize the way businesses interact with customers. Voice commerce, for instance, is becoming increasingly popular, with Statista predicting that voice commerce sales will reach $40 billion by 2023. Companies like Amazon and Google are already leveraging voice assistants to enable seamless voice-based transactions.

Another technology that’s gaining traction is augmented reality (AR). Brands like Sephora and IKEA are using AR to create immersive experiences that bridge the online and offline worlds. According to a report by Grand View Research, the global AR market is expected to reach $70.4 billion by 2023, growing at a CAGR of 43.8%.

Predictive personalization is also becoming a key focus area for businesses. By leveraging machine learning algorithms and customer data, companies can anticipate customer needs and deliver personalized experiences across channels. For example, Netflix uses predictive personalization to recommend content to its users, resulting in a significant increase in engagement and retention.

To prepare for these changes, businesses can take the following steps:

• Invest in voice commerce capabilities to enable seamless voice-based transactions
• Explore AR experiences that can enhance customer engagement and loyalty
• Develop predictive personalization strategies that leverage machine learning and customer data
• Focus on building a strong data foundation to support emerging technologies and personalized experiences

By staying ahead of the curve and embracing these emerging technologies, businesses can create truly seamless and personalized omnichannel experiences that drive customer loyalty and revenue growth. As we move forward, it’s essential to keep an eye on these trends and adapt to the changing landscape to stay competitive in the market.

Your First 90 Days: An Omnichannel AI Roadmap

To get started with AI-powered omnichannel marketing, it’s essential to have a clear plan in place. Here’s a practical 90-day roadmap to help you kick-start your journey:

Days 1-30: Assessment and Planning

• Conduct an audit of your current marketing channels and customer touchpoints
• Identify areas for improvement and opportunities for AI-driven optimization
• Define your goals and key performance indicators (KPIs) for omnichannel success
• Explore AI-powered tools and platforms, such as Salesforce and Adobe, to support your strategy

Days 31-60: Data Foundation and AI Enablement

1. Develop a Customer 360 profile by integrating customer data from various sources, such as CRM, social media, and website analytics
2. Implement AI-powered analytics tools, like Google Analytics 360, to gain insights into customer behavior and preferences
3. Start experimenting with AI-driven marketing automation platforms, such as Marketo, to streamline and personalize customer interactions

Days 61-90: Pilot and Scaling

• Launch a pilot project to test and refine your AI-powered omnichannel strategy
• Monitor and analyze the results, using metrics such as customer engagement, conversion rates, and ROI
• Scale your AI-driven initiatives across multiple channels and customer touchpoints, based on the insights and learnings from your pilot project

According to a study by Gartner, companies that invest in AI-powered marketing automation see an average increase of 15% in customer engagement and 12% in revenue growth. Don’t miss out on this opportunity to transform your marketing strategy and drive business success.

Ready to get started? SuperAGI can support your AI-powered omnichannel journey, providing expert guidance, cutting-edge technology, and tailored solutions to help you achieve seamless customer experiences and drive business growth. Contact us today to learn more and take the first step towards revolutionizing your marketing strategy.

In conclusion, implementing an omnichannel marketing strategy powered by AI is no longer a luxury, but a necessity for businesses looking to deliver seamless customer experiences. As we’ve discussed throughout this guide, the benefits of omnichannel marketing AI are numerous, from improved customer engagement to increased conversions and revenue growth. Research data shows that companies using omnichannel marketing strategies see a 91% higher year-over-year increase in customer retention rates compared to those that don’t. To get started, readers can take the following steps:

• Assess their current marketing strategy and identify areas for improvement
• Invest in AI-powered marketing tools that can help them deliver personalized experiences across channels
• Monitor and analyze customer data to refine their strategy and improve outcomes

Getting Started with Omnichannel Marketing AI

For those looking to learn more about omnichannel marketing AI and how to implement it in their business, we recommend visiting Superagi to explore the latest trends, insights, and success stories. With the right strategy and tools in place, businesses can stay ahead of the curve and deliver exceptional customer experiences that drive growth and loyalty. So why wait? Take the first step towards implementing an omnichannel marketing strategy powered by AI today and discover the benefits for yourself. As the marketing landscape continues to evolve, one thing is clear: the future of customer experience is omnichannel, and it’s powered by AI.