How LLMs Connect Maintenance Logs, ERP Data, and Manuals for Smarter Planning 3 min read ● Silk Team Maintenance logs are usually unorganized. They include technician jargon, ambiguous nomenclature, and various degrees of detail. 1. Maintenance History: CMMS Logs The LLM Function: LLMs utilize semantic processing to standardize this data. They comprehend that "hous vibration" [...]
RAG-Based AI in Manufacturing: Turning Maintenance Data Into Downtime Reduction 3 min read ● Silk Team Unplanned shutdowns continue to be among the biggest cost challenges faced by manufacturing today. Although numerous investments have been made in CMMS platforms, IoT sensors, and predictive maintenance tools, many plants are still unable to effectively utilize the data [...]
Calculating the Real ROI of RAG and LLM Models for Industrial Distribution 3 min read ● Silk Team Many industrial distributors face increasing challenges to meet customers' growing demands for speed and accuracy while managing large product portfolios and supporting increasingly technical buyers' purchasing processes. With this comes increased interest in Large Language Models (LLMs) [...]
Where LLMs Drive Measurable Value Across Manufacturing and Distribution Operations 3 min read ● Silk Team Large Language Models (LLMs) are now everywhere in discussions about manufacturing and distribution; however, actual operational value is quite selective compared to all of the hype that surrounds them. A chatbot alone will not cause KPI improvements. No LLM [...]
Scaling AI in Manufacturing Safely: How RAG Models Reduce Risk and Control Cost 3 min read ● Silk Team Many manufacturers want to take advantage of the power of AI, but most experience the same issue once they move beyond pilot projects. As AI enters production environments, concerns around risk, cost, and control increase rapidly. [...]
From Reporting to Intelligence: Evolving Analytics with AI and GEO 3 min read ● Silk Team Business Intelligence has been a fixed, historical exercise for decades. The process of gathering data, converting that data into a dashboard, and then looking back to determine performance has to become a hindrance for success in today's fast-paced markets. [...]
AI Strategy for Manufacturing & Distribution: A Guide to ROI in 2026 3 min read ● Silk Team Manufacturers and Distributors have moved beyond the "AI Experimentation Period" in 2026. The industrial sector now faces the issue of determining what type of Artificial Intelligence architecture will provide the greatest return on investment (ROI). Your selection [...]
GEO and AI in eCommerce: How Integrated Platforms Drive Discovery 3 min read ● Silk Team The way people shop on the internet is changing fast. By 2026, the “10 blue links” that were once used to help customers find products using traditional search will be replaced by AI-powered search engines such as ChatGPT, Gemini [...]
How to Move From Data Reporting to AI-Driven Intelligence 3 min read ● Silk Team For decades data analytics has been structured as follows: A business event occurs and data is collected and then 7 days or so after that a report arrives on a stakeholders desk. Descriptive analytics provides information as to what happened [...]
Overcoming the Hidden Barriers to AI Adoption in Manufacturing 3 min read ● Silk Team What Keeps Manufacturing Companies From Adopting AI — And How to Move Past It Manufacturers clearly see the promise of artificial intelligence. Smarter forecasting, fewer machine failures, improved quality control, and better decision-making are all well within reach. Yet many [...]
