AI in Action: Real-Life Cases

When people think of artificial intelligence, they often envision chatbots answering questions, like ChatGPT, or tools that generate content. While these applications are impressive, they barely scratch the surface of AI's true potential. Many still hold misconceptions about the breadth and depth of AI's capabilities, overlooking how it can fundamentally transform business processes. 

Strata Analytics has harnessed the power of AI in innovative ways, delivering unexpected and highly impactful results. AI has provided us with solutions for our customers' challenges. It is just a matter of discovering how to turn AI's mythical promise into real-life tools and strategies. 

Customer Experience

We developed SpeakSense AI when a business approached us due to its struggles to understand customers. The business constantly interacted with customers through its Contact Center but failed to treat each call or chat as a source of relevant data. Inevitably, its customer experience (CX) indicators plummeted. 

AI was the perfect answer. Its power to recognize patterns and organize information in complex, almost human-like systems allowed Strata to develop a tool that could capture and sort through CX interaction data. SpeakSense AI gathers raw data from calls and messages, classifies it based on essence and meaning, and allows users to retrieve insights from the database by asking questions in natural language!

Through questions like, “What are the most common reasons for repeated calls?” or “Are the agents mentioning digital channels for simple requests?” the company managed to transform its understanding of its CX processes. This resulted in an overall 30% reduced cost base, a 10% reduction in OPEX, and even savings of 1 MM due to improved agent performance. 

Dynamic pricing

When an e-commerce business pointed out to Strata that they had no concrete strategy to stay ahead of the market, GenAI obviously came to mind. This company sold its products based on internal calculations and human agents monitoring the competitor´s strategy. Whenever they thought they had managed the best price in the market, some other competitor came up with something new. Sales were not coming in as expected!

AI is the perfect board to surf through the fluctuating price rates within any market. Strata started by leveraging GenAI´s ability to automate web scraping and data collection processes. Then, we used GenAI to sort through complex scraped data and efficiently compute updates to calculate the best up-to-date competitive strategy. 

With GenAI, our client customers experience first-hand the benefits of data-driven pricing. Their market responsiveness transformed, allowing them to adjust quickly to any changes. Revenue grew thanks to competitive and flexible pricing models, while operational costs decreased thanks to efficiency savings! The results speak for themselves: dynamic fees boosted transactions by 19% and maximized the average fee by 7%, while the need for human resources decreased by a fourth. 

Cloud Migration

Strata was honored when a business with a history of over 30 years of offering its service knocked on our door. This company had been using SAS Enterprise to handle its data management processes; however, with SAS leaving its country, it was at risk of paying high costs to keep the license. A “simple” migration to another system was not an option: their long history had left them a complex and varied ecosystem that was too difficult to handle!

Strata took on the daunting task of migrating all the data management processes to the Google Cloud Platform. After properly detailing each method, we outlined a detailed migration plan: description, frequency, users, and data sources. Then, we cleaned up the data and created the relevant prompts for every process. GenAI algorithms came in, and, in close collaboration with the client, we translated the SAS code to Bigquery.

During a cloud migration, it is essential to monitor key performance indicators (KPIs) to ensure the project's success. In our case, we were able to reduce the implementation time and the total cost of the migration. On the other hand, the application's performance, availability, and reliability improved compared to the data before the migration. By measuring and evaluating these aspects, we conclude that organizations can optimize migration, ensuring a smooth transition and maximizing the benefits of cloud infrastructure.

Conclusions

GenAI turned out to be the right solution for three different problems. Thanks to our experts, Strata was able to take advantage of this tool's power and adapt it to varied contexts and challenges. 

Through these experiences, we learn that AI can really take business far. Our job is to find or build the paths for this amazing technology to work its magic.