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Resources & Insights

Guides, case studies, and industry analysis to help you build a modern, automated operations stack.

Featured Guide

The 2026 Sales Metrics Guide for Manufacturers

As AI enters the industrial workforce, the KPIs that matter are changing. This guide outlines the new metrics for high-velocity sales and quoting teams.

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Analytics and metrics

Latest Articles

CAS Number Chaos: Why Chemical Lookups Are Harder Than They Look
Engineering
7 min read

CAS Number Chaos: Why Chemical Lookups Are Harder Than They Look

What seems like a simple database lookup is actually a maze of synonyms, trade names, isomers, and specification mismatches. Here's why traditional systems fail—and what it takes to solve it.

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Why Your Data is Already AI-Ready
Engineering
5 min read

Why Your Data is Already AI-Ready

Stop waiting for a multi-year data cleanup project. Learn how LLMs act as a semantic layer, allowing you to automate workflows with the messy ERP data you have today.

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The Case for AI-Native Pricing in Chemicals
Strategy & Operations
6 min read

The Case for AI-Native Pricing in Chemicals

Why traditional CPQ and rules-based pricing fail in modern markets, and how AI agents help you capture value and differentiate.

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The Win Rate Mirage: Rethinking Manufacturing Win Rates
Strategy & Operations
7 min read

The Win Rate Mirage: Rethinking Manufacturing Win Rates

Why standard win rates mislead chemical manufacturers, and how AI-driven deal scoring helps you win the right business.

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GDPVal: The First Comprehensive AI Benchmark for Manufacturing
Engineering
8 min read

GDPVal: The First Comprehensive AI Benchmark for Manufacturing

Introducing GDPVal, our new benchmark for evaluating how Foundation Models handle messy industrial data, SKUs, and RFQ logic.

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The Dirty Data Paradox
Industry Insights
6 min read

The Dirty Data Paradox

Why dirty data persists in chemical plants, the problem of data exhaust, and how AI agents can act as janitors to clean up the mess.

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