AI Product Knowledge Platform Case Study | Industrial Automation
Client Profile
A global industrial automation manufacturer and Fortune 500 company, with a product catalog spanning thousands of components, configurations, and technical documents across multiple business lines.
The Problem: A Product Catalog Too Large for Its Own Sales and Support Teams to Use
The client’s product catalog had grown large enough that it worked against the people who needed it most. Sales reps quoting a configuration had to dig through overlapping documentation to confirm compatibility. Support engineers troubleshooting a fault in the field faced the same problem in reverse — searching scattered manuals and internal wikis for the one paragraph that matched the symptom in front of them.
| Failure Point | Business Impact |
|---|---|
| Fragmented product documentation | Sales reps spend more time searching than selling |
| No unified configuration logic | Pre-sales quotes risk incompatible or outdated configurations |
| Manual fault lookup | Support engineers spend hours per ticket hunting for the right procedure |
| Knowledge locked in tribal expertise | New reps and engineers ramp slowly without senior staff on hand |
The Solution: Three Connected AI Tools Built on One Knowledge Base
ISZ.AI built an AI knowledge platform covering the full product lifecycle rather than a single search box bolted onto the existing documentation.
- AI Product Search: Natural-language search across the full product catalog, letting sales and support staff ask questions in plain language instead of guessing at document titles or part numbers.
- Pre-Sales Configuration Assistant: An AI assistant that recommends valid configurations based on customer requirements, reducing the risk of quoting incompatible components.
- After-Sales Fault Diagnosis System: A troubleshooting assistant that matches reported symptoms against the client’s technical documentation and service history to surface the most relevant fix.
All three tools draw on the same underlying knowledge base, so updates to product documentation propagate to search, configuration, and diagnosis simultaneously instead of three separate content pipelines drifting out of sync.
The Results: One Knowledge Base, Faster Decisions Across Sales and Support
- Faster configuration: Sales reps find the right configuration in minutes instead of hours, directly in their existing workflow.
- Faster issue resolution: Support engineers resolve field issues faster, with fewer escalations for problems the documentation already answers.
- A single source of truth: Pre-sales and after-sales teams work from the same governed knowledge base instead of maintaining separate, drifting document sets.
Learn More
Explore our related capabilities: