Discover how to integrate Generative AI into your digital systems. 

Many companies have embraced the power of AI chatbots like ChatGPT within their organization. The real game-changing power of Generative AI, however, can be realized when you integrate it with your enterprise systems.  

As an example, let’s take a closer look at Fred from product merchandising. His team meticulously follows a painstaking process of identifying problems, copying text, and pasting it for correction into ChatGPT. Now, with the power of Generative AI seamlessly integrated into the CMS, this process is automated and efficiently executed overnight. Content issues are automatically identified and corrected, presenting only a handful that need to be tackled manually. With a few clicks it is swiftly taken care of, freeing up Fred to work on higher-value tasks. 

Now, having witnessed how Generative AI can transform the product merchandising workflow, let’s delve into solving other common business challenges. 

Practical Business Solutions 

Here is a curated set of use cases where Generative AI proves its prowess. These solutions are crafted to address diverse challenges across various business roles, showcasing the versatility and impact of integrating Gen AI into your operational landscape. 

Merchandising: 

In the domain of merchandising, Generative AI acts as a versatile assistant. It seamlessly handles tasks such as verifying product information, generating meta tags, crafting detailed product descriptions, and determining categories. Additionally, Generative AI can ensure product image quality through checks and cleanup, as well as generate category images. The capability extends to creating essential documents like MSDS sheets and warranty sheets as well as extracting structured information from PDFs and descriptions. This comprehensive support empowers merchandisers to streamline their workflows and enhance the overall quality of product-related content. 

Marketing:  

For marketers, Generative AI proves to be an asset. It effortlessly takes on responsibilities like crafting emails, generating promotional text, and creating eye-catching promotional images. Additionally, it excels at scanning and formulating responses to reviews, and offering marketers a robust toolset to enhance their communication strategies and promotional efforts. 

Sales: 

For sales representatives, the capabilities of Generative AI extend seamlessly. It excels in tasks such as tagging emails with categories and sentiments, utilizing a chatbot assistant to glean insights from customer data and trends, generating orders from emails and PDFs, crafting personalized email responses, and extracting valuable FAQs from existing email interactions. This multifaceted support empowers sales reps with efficient tools for customer engagement and data utilization. 

Website Users (Customers, Partners, and Suppliers): 

Now for website users, the versatility of Generative AI unfolds in enhancing the user experience. It simplifies the journey through features like chatbot functionality, facilitating FAQ searches, executing semantic searches, and summarizing reviews. This comprehensive set of capabilities ensures a streamlined and user-friendly interaction, addressing various needs and queries effectively. 

Platform/DevOps professionals: 

DevOps benefit from Generative AI in several ways. They can efficiently search through platform and knowledge base documents, streamline ticket management by tagging and classifying them, and enhance security by scanning transactions to detect fraud.  

Call Center Operations: 

Lastly, Call Centers leverage Generative AI for various tasks as well. The technology assists in transcribing and scanning voice transcripts to evaluate agent performance and ensure compliance. It provides real-time support for sales and decision-making, generating call summaries from transcripts to maintain comprehensive case histories. Additionally, it detects and incorporates frequently asked questions (FAQs) from transcripts to enhance customer self-service. The system can also generate outbound follow-up email responses, tag and prioritize inbound emails, and create tailored responses. This comprehensive utilization streamlines operations and improves customer interactions in call center settings. 

These examples offer a snapshot of the business problems Generative AI can address, offering organizations large and small ample opportunities to get started with this technology. 

Phases of Implementation 

While there isn’t a single, universally accepted process for identifying Generative AI opportunities, here is a phased approach: 

Discovery and Assessment:  

Generative AI really shines in handling focused and specific tasks. Analyze your company’s ecosystem to identify processes that have repetitive tasks, in particular, areas that require human expertise but are hard to address at scale. Consult with an implementation partner who offers demos and insights, sparking creativity. 

Proof-of-Concept, and Prioritization:  

Take a plunge and do a proof-of-concept (PoC). Then, figure out the return on investment (RoI) and decide which issues to tackle first. 

Implementation and Scaling:  

Taking the plunge is very important, because you need to paddle to the waves first in order to be ready to catch one. Successfully implementing a PoC and transitioning it to a full scale deployment requires careful consideration of factors such as scalability, stability, resilience, business continuity, and cost efficiency. If your technology team requires additional support in these areas, you should consider collaborating with an implementation partner to build a strong foundation for success. 

Getting Started 

The true transformative leap in Generative AI lies in going beyond chat and seamlessly integrating it into corporate systems, enabling automated processes that seem almost magical. At AAXIS, we work with our clients to execute the right strategy and implement the best fit of technologies leveraging data and AI to increase customer retention, elevate the customer experience, increase customer conversion, acquire new customers, and expand into new markets.  

To get you started, we offer a concise 20-30 minute session to accelerate your path to tangible value while igniting creativity for both you and your team. During this session, we delve into the practical capabilities of Generative AI, showcase relevant use cases, analyze your existing requirements for enhancing efficiency and scalability, and propose actionable next steps. We help you define your ideal future state, craft a Generative AI solution architecture, and identify required IT infrastructure and skills. Moreover, we collaborate on constructing a compelling business case to facilitate communication with both business and IT leaders. Generative AI Integration isn’t just an upgrade; it’s a strategic move toward a future where efficiency meets innovation. 

Ready to set up a 20-30 minute strategy session? Let’s chat. 

This article was co-authored by: 

• Naresh Ram, Chief Science Officer 
• Rajeev Hans, Chief Technology Officer 
• Prashant Mishra, Chief Data Scientist