Use Case: Challenges & Solutions to Layering Retail Sales Automation Tools | Panel Discussion: Leveraging Generative AI & Automation to Boost Marketing & Sales Campaign Efficiencies and Results | Interactive Discussion Group (IDG): Determining Which Generative AI Tools Would Be the Best Fit for Your Various Marketing Objectives |
Attend this use case session on how a leading retailer rolled out an implementation strategy to integrate AI, RPA, conversational AI, and predictive analytics to enhance their sales and customer experiences - and the challenges they faced along the way, and how they addressed said obstacles. In this use case session, you will learn more about:
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Generative AI can certainly offer significant value to marketing and sales campaigns. However, there’s a wide array of other intelligent automation tools that can also provide powerful business outcomes and they shouldn’t be ignored. Looking beyond generative AI, there’s a diverse spectrum of AI tools, from conversational AI to machine learning and RPA, which can be integrated into marketing and sales strategies to provide enhanced marketing and sales engagement, efficiency, and decision-making. In this session, topics of discussion will include, yet will not be limited to:
- RPA to automate routine tasks and enhance operational efficiency
- Conversational AI, such as chatbots and virtual assistants to enhance customer interactions, offer real-time support, and gather valuable insights
- Machine learning predictive analytics to identify trends, enable data-backed decisions, and optimize marketing strategies
- AI-powered optimization algorithms to refine marketing campaigns in real time, ensuring maximum engagement and conversions
Attend this use case session on how a leading retailer rolled out an implementation strategy to integrate AI, RPA, conversational AI, and predictive analytics to enhance their sales and customer experiences - and the challenges they faced along the way, and how they addressed said obstacles.
In this use case session, you will learn more about:
- How data integration platforms and middleware were employed to harmonize information across systems, enabling smooth AI integration
- Efforts to encourage customers to embrace AI-driven chatbots and virtual assistants for personalized assistance
- Ensured accurate predictive analytics results for inventory planning and demand forecasting
- Delicate balance between AI-driven personalization and customer data privacy
Generative AI became mainstream nearly overnight and some of the earliest adopters of the technology were marketing and sales departments and their teams. Since then, generative AI has been reshaping marketing and sales strategies, enabling teams to drive enhanced engagement, personalization, and revenue generation.
In this session, topics of discussion will include, yet will not be limited to:
- Personalized content creation for crafting personalized marketing content, from email campaigns to social media posts, and much more
- Data-driven customer insights to analyze customer data to reveal powerful insights, and in. turn enable marketing and sales teams to better understand their target markets better
- Automated lead generation to identify potential leads based upon customer profiles and behaviors, fueling efficient sales pipelines
- Enhancing customer journeys by predicting behavior and suggesting tailored interactions
- Examining various generative IA tools
- Aligning generative AI tools with marketing objectives
- Platform licensing options and pricing
To ensure a competitive edge, most organizations are in full throttle mode of planning or implementing a wide array of digital and business transformation initiatives, as well as developing their long-term strategic initiatives, across the business as well as on a functional level. In turn, technology C-Suites are under a lot of pressure to develop impactful technology and automation roadmaps, strategies, and performance measurements for their various teams, which are directly tied into the organization’s other functional C-Suite’s strategies and KPIs.
That said, not only do automation and digital transformation executives need to know what technology C-Suite’s have planned for the organization and what their top priorities are, yet functional leaders also need to know, as automation and digital transformation programs are led by them as well.
In this session, a variety of technology C-Suites will be asked the below questions:
- What are your core objectives with respect to utilizing intelligent automation and generative AI?
- What areas of the business should we use our technology budgets towards
- Which functional processes should we focus our automation and digital transformation efforts?
- Which types of technologies are you heavily investing in, mid to long-term?
In the ever-evolving landscape of marketing and sales, harnessing the power of generative AI has emerged as a game-changer. In this session, we will explore how generative AI is being utilized to optimize marketing and sales campaigns, drive efficiencies, elevate customer engagement, and achieve remarkable marketing and sales results.
In this session, topics of discussion will include, yet will not be limited to:
- Generative AI models to predict customer behavior, allowing marketing and sales teams to allocate resources effectively and focus on high value prospects
- Automated lead generation for processing and identifying potential customers and nurturing them through the sales funnel
- Content creation by generating high-quality, personalized, and engaging marketing materials, from ad copy to product descriptions
- Developing precise customer profiles, enabling targeted marketing and personalized experiences that boost conversion rates