Diwo
CatalystManufacturingCross-industry

Product Documentation Intelligence for Customer Support

A customer service rep has an anxious caller on the line and three PDF manuals open on her second monitor.

Ranked in dollars
·
What-if validation
·
Push to ops
01The Problem

Today’s workflow is the bottleneck.

A customer service rep has an anxious caller on the line and three PDF manuals open on her second monitor. She Ctrl-Fs "error code" across two of them, skims a table of contents in the third, and asks the customer to hold — again. The manufacturer already rolled out document search for its reps, but the experience still depends on how fast someone can hunt. And the customer on the other end just wants to know if their unit is safe to keep running.
The status quo· typical decision cycle
signal decays
  1. Signal captured
    Models score. Data is fresh.
    Day 1
  2. Dashboard built
    Analyst pulls CSVs, joins sources
    Day 2–3
  3. Review meeting
    Stakeholders ask for context, re-pull
    Day 4
  4. Window has closed
    Signal stale, action wasted
    Day 5+
By the time the action is ready, the window has closed.
5 days between signal and action. The data science team did their job. The operator is still waiting.
02The Approach

How Catalyst handles it.

Catalyst doesn't give reps a better search bar. It ingests every product manual and support document, digitizes and tags the content, and layers a Semantic Knowledge Graph over the corpus so meaning — not keyword — drives retrieval. When a customer or agent asks a natural-language question, the AI question-answering interface returns a precise answer with the recommended next step. Structured data sits alongside unstructured content in a secure enterprise environment, and every interaction trains the system to respond better the next time. The rep stops hunting. The customer gets the answer while they're still on the line.
Catalyst · Conversation
A
What does error code E-214 mean on this model, and what's the first thing the customer should check?
Catalyst · 320ms · sources: 4
Here’s what I found — three drivers explain most of the signal, and I’ve ranked them by impact.
RECOMMENDATION
Take action on the top-ranked driver first.
Expected lift: +15.3% · 2-week window.
See this live

Watch Catalyst solve product documentation intelligence for customer support on your manufacturing stack.

45-minute working demo. Your data, your question, a real answer — not a pre-recorded walkthrough.

03Ask

Questions you can ask.

Every case ships with a set of high-leverage prompts — the shortlist operators reach for every week. Here are the ones we see working for product documentation intelligence for customer support.
Anchor question
01 · start here
What does error code E-214 mean on this model, and what's the first thing the customer should check?
02
Which section of the manual covers installation for this specific SKU and configuration?
03
What are the recommended next steps once the unit has been reset?
04
Which replacement parts and accessories are compatible with this product line?
05
What's the routine maintenance schedule for this equipment under heavy use?
06
Where's the warranty coverage detail for a unit purchased 14 months ago?
See it on your data

Bring a real Manufacturing question. We’ll show you the decision.

We’ll run Catalystagainst a slice of your own data during the demo — no slideware, no prerecorded mock. You leave with a working decision and a line of sight to the next one.