Esker announces that it has launched its newest Esker Synergy AI product update, Synergy Transformer. Designed to streamline order processing by optimizing data extraction, Esker’s Synergy Transformer achieves speed and accuracy using a custom-trained language model. The model harnesses advanced Transformer technology, while training data is specifically tailored to the nuances of order language, ensuring precise and efficient data extraction.
“I’m really excited that Synergy Transformer AI is now available to customers,” says Aurélien Coq, product manager at Esker. “This new product feature further liberates CSRs by automating error-prone order data entry, freeing them to focus on strategic priorities. At Esker, we are constantly listening to users and seeking out new opportunities for improvement to deliver even greater value through AI. Introducing Synergy Transformer to our solutions marks the latest step forward in that ongoing mission.”
Key Takeaways:
- The Synergy Transformer exemplifies Esker’s commitment to promoting a positive-sum growth environment where AI automation frees up employees, specifically Customer Service Representatives (CSRs), from tedious, error-prone manual tasks like order data entry, allowing them to concentrate on higher-value activities. At the same time, customers experience a seamless transition with no changes required to how they submit orders.
- Purpose-built for this specific use case, the Synergy Transformer is faster at extracting large quantities of data from orders than large language models like ChatGPT 4 that focus on broader capabilities. Integrated into Esker’s solutions, the Synergy Transformer enables organizations to equip their CSR teams with AI capabilities, eliminating the need for extensive investments of time and resources in sourcing, evaluating, testing and refining alternative models. While previous Synergy products set an already a high standard, Synergy Transformer provides meaningful advancements. Customers will see up to a 6% improvement compared to the previous iteration, bringing the recognition rate to over 92%. Additionally, Synergy’s smaller size is designed to be more sustainable and resource efficient.
