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Streamlining Purchase-to-Pay in Education: Simplifying Nominal Coding with Large Language Models

Different vertical sectors come with their own unique requirements. In this post, we explore how large language models (LLMs) can play a transformative role in education settings by streamlining the Purchase-to-Pay process. The Purchase-to-Pay journey often begins with a requisition, where users raise requests for purchases. Before these requests can be approved and converted into… Read More »Streamlining Purchase-to-Pay in Education: Simplifying Nominal Coding with Large Language Models

Simplifying Accounts Payable: Tackling Unit of Measure Challenges in Distribution

At Spectrum, we’ve carved out particular niches in delivering complex accounts payable solutions. We’ve achieved significant success in vertical markets such as distribution, including the food and clothing sectors. One of the key complexities in these industries is managing Units of Measure (UOM). Orders are often raised with quantities and prices that differ from what… Read More »Simplifying Accounts Payable: Tackling Unit of Measure Challenges in Distribution

Navigating Complex Invoices: Advanced Techniques for Intelligent Document Processing

In the past 12–18 months, there’s been an explosion in intelligent document processing (IDP) tools, each claiming to have the best model for capturing data from semi-structured documents, like invoices. Every tool is keen to assert its model is the strongest and most trainable. I’ve tested quite a few, and there are some excellent cloud-native… Read More »Navigating Complex Invoices: Advanced Techniques for Intelligent Document Processing

coding

Enhancing OpenAI API Efficiency: Leveraging System Messages and Temperature Settings for Improved JSON Output

Further to my post, ‘Sequel to AI-Powered Order Structuring: Advancing to JSON Transformation’, I have been enhancing our capabilities and learning more about the OpenAI API. Recently, I have started incorporating two additional settings in my API calls: Here’s an example: var requestBody = new{  model = “gpt-3.5-turbo”,  messages = new[]  {    new   … Read More »Enhancing OpenAI API Efficiency: Leveraging System Messages and Temperature Settings for Improved JSON Output

Enhancing Customer Experience: Streamlined Enquiry Handling

Additionally, it’s imperative to thread these captured emails together, enabling users to track the conversation and facilitating our ability to provide updates. I’ve gained some valuable insights into email headers and structure. The “Message ID,” a critical element found within email headers, plays a pivotal role in tracking and identifying emails. This unique string, generated… Read More »Enhancing Customer Experience: Streamlined Enquiry Handling

Sequel to AI-Powered Order Structuring: Advancing to JSON Transformation

Following my earlier post on leveraging generative AI to convert informal order instructions into structured JSON, I’ve been developing a proof of concept with our IDP tool, Abbyy FlexiCapture. I’ve transformed an order that arrived in the body of an email, with the text extracted during an FlexiCapture workflow: “Can I order: Same red willington… Read More »Sequel to AI-Powered Order Structuring: Advancing to JSON Transformation