I’m guessing by now in 2024, you’re wondering what AI tools you can develop for internal use or offer your clients – am I right? Well Basebuild has too. One technology that has revolutionized the marketing landscape is OpenAI, offering a suite of tools and capabilities that can be harnessed for various marketing initiatives. Without further ado, lets explore how marketing agencies can leverage OpenAI technology across different aspects of their operations and implementing with the aid of Laravel:
- Conversational Data Searching for Customers:
OpenAI’s conversational data searching capabilities enable marketing agencies to empower customers with self-service tools for finding information or resources. Customers can ask questions in natural language, and the AI system retrieves relevant data or content based on the queries. This streamlines the information discovery process and enhances the customer experience.
E.g. A client wants to know the latest industry trends in digital advertising. They can interact with a conversational AI interface and ask, “What are the emerging trends in digital advertising for 2024?” The AI system can search through industry reports, news articles, and relevant data sources to provide up-to-date insights to the customer. - Chatbots for Customer Engagement:
Chatbots powered by OpenAI’s natural language processing (NLP) capabilities are invaluable for enhancing customer engagement and support. These chatbots can handle a wide range of queries, provide instant responses, and simulate human-like conversations. For example, a marketing agency can deploy a chatbot on their website to assist visitors with inquiries about services, pricing, or scheduling appointments. The chatbot can use NLP to understand customer queries and provide relevant information in real time.
Imagine a customer visits a marketing agency’s website and asks, “Can you provide examples of your previous social media campaigns?” The OpenAI-powered chatbot can analyze the query, retrieve relevant case studies or campaign examples from the agency’s database, and present them to the customer in a conversational format. - FAQ Automation and Optimization:
Companies often receive repetitive inquiries from customers regarding services, policies, or procedures. OpenAI-powered FAQ automation can automate responses to common questions, freeing up human agents’ time for more complex tasks. The AI system can learn from customer interactions and continuously improve its responses over time.
E.g. A marketing agency’s FAQ section includes queries about pricing, project timelines, and deliverables. By training an OpenAI model on the agency’s FAQ database, the AI system can recognize similar questions from customers and provide accurate answers instantly. For instance, if a customer asks, “How long does it take to launch a new marketing campaign?” the AI can retrieve the relevant response from the FAQ database and deliver it seamlessly. - Customized Training on Specific Datasets:
OpenAI’s flexibility allows marketing agencies to train AI models on specific datasets tailored to their industry, services, or customer base. By providing relevant training data and fine-tuning the AI algorithms, agencies can create highly customized AI solutions that meet their unique requirements and deliver optimal results.
E.g. A agency specializing in e-commerce wants to develop an AI assistant that helps customers with product recommendations. The agency can train the AI model on historical customer purchase data, product attributes, user preferences, and feedback. This customized training enables the AI assistant to offer personalized product suggestions to customers based on their interests and buying behavior. - Typed and Audio Responses for Human-like Interaction:
OpenAI technology supports both typed and audio responses, enabling companies to create interactive experiences that feel more human-like and natural. Customers can engage with AI systems through text inputs or voice commands, receiving instant and relevant responses in real time as if talking with a human.
E.g. A customer contacts a utility company’s AI assistant and asks, “Can you explain the difference between a flange and a whatchamacallit” The AI system can respond with a typed message detailing technical nuances. Additionally, the AI can offer an audio response in a conversational tone, enhancing the interaction and providing a more engaging experience for the customer.
When all is said and done, you can build just about anything with AI. If there is data or information to be distributed, explained, mined or made available in any way, AI can help you. This applies not only to the data manipulation end of things but also in streamlining very natural and productive experiences for your consumers. Basebuild has a handle on the Laravel based technologies and APIs involved and has some very affordable options to help you build the AI tools of your future. Got questions? Feel free to send an email to contact@basebuildinc.com and we’ll be happy to have a chat.