AI Knowledge Advisor · Technical Trade · Inside Sales

Your inside sales team.
Up to 20–30% faster.

The AI knowledge advisor takes the daily search work off your inside sales: datasheets, spare-parts lists, manuals and the right product across many manufacturers. The result: faster quotes, faster onboarding and less dependency on the manufacturers' inside sales. Answers with sources from your own knowledge base.

20–30% faster
More time for quotes and customers.
from €500/month in the pilot  ·  How it pays off →
For distributors with a broad multi-brand portfolio Answers with sources Entry with non-critical data
01 · Problem

Search work eats your inside sales team's time.

Many technical distributors don't have a knowledge problem. The knowledge is there, in datasheets, catalogs, spare-parts lists, manuals and old quotes. The real problem is access: searching costs a large part of the working day.

Quotes take longer
No overview across many brands
Spare parts hard to match
Manuals to piece together
Waiting on the manufacturer's inside sales
Onboarding drags on
A typical day in inside sales
30%
70%
Search & pre-research Customers, quotes, clarification

Up to 30% of working time goes into searching: datasheets, spare-parts lists, manuals, certificates. That is exactly the part the AI agent takes over.

This is not about replacing your existing system. It is about taking the daily search work off your inside sales.

02 · Solution

An additional AI agent department for your inside sales.

Imagine a tireless junior colleague who takes over all the search work. They know your datasheets, catalogs, spare-parts lists and manuals and deliver in seconds what your team would otherwise piece together. Always with a source. Your inside sales keeps the customers, the agent does the prep work.

What the AI agent does

  • search manufacturer documents and catalogs
  • pull up operating manuals
  • find documents and certificates
  • compile matching products across many brands
  • a first rough assessment as prep work

What stays with your people

  • contact with the customer
  • final release of the quote
  • answering follow-up questions
  • the technical decision

It does not replace your people. It works alongside them and makes them faster.

03 · Live demo

Ask like in a chat. Answers with sources.

The assistant answers only from the stored documents. If information is missing, it asks instead of guessing.

Getze Knowledge Advisor·Application Engineering Agent
v1.0
AGENT A · APPLICATION ENGINEERING
Sizing: which pump, which material.
PILOT ~1 WEEK
YOU
Application engineering
Which pumps can we offer for 96% sulfuric acid at room temperature?
GC
Application Engineering Agent
Suitable are magnetic-drive pumps (Hastelloy/SiC) as well as diaphragm and drum pumps in PVDF/PTFE. SiC plain bearings instead of tungsten carbide are mandatory for sulfuric acid; carbon/WC-Co is unsuitable.
Source: Datasheet diaphragm pump · Datasheet magnetic-drive pump · Service case 11
YOU
Application engineering
And for pure transfer instead of pumping?
GC
Application Engineering Agent · compares drum and electric drum pump
Ask a question
AGENT B · SERVICE KNOWLEDGE AGENT
Service cases: spot patterns, cut downtime.
PILOT ~1 WEEK
YOU
Service technician
Which parts do I need for the progressing cavity pump type EP, size M?
GC
Service Knowledge Agent
For EP, size M: stator art. 21-4471 (NBR) or 21-4472 (FKM), rotor art. 33-1180 (1.4571, hard-chromed), mechanical seal GLRD-M-04. Seal material variants: SiC/SiC, carbon/SiC, secondary seal FKM or FFKM.
Source: Spare-parts list EP-M · Sectional drawing EP-2021
YOU
Service technician
Which seal and stator variant fits 30% sulfuric acid?
GC
Service Knowledge Agent · checks material resistance
Ask a question
AGENT C · SALES ADVISOR
Customer query: prepared faster.
PILOT ~1 WEEK
YOU
Sales
A customer needs a pump for ATEX Zone 1. Which options can I offer?
GC
Sales Advisor
Approved for Zone 1: centrifugal pump, magnetic-drive pump (Zone 21 dust optional), electric drum pump and diaphragm pump. I can prepare a comparison table for the customer.
Source: Datasheets G series · ATEX declaration of conformity
YOU
Sales
Build the comparison table with material and flow rate.
GC
Sales Advisor · assembles product options
Ask a question

You see a running agent above. Whether it works for you, we check in the pilot, with your real, approved documents.

Discuss a pilot →

04 · Benefit by role

Relief where it is felt every day.

INSIDE SALES

20–30% faster

Send quotes faster, match spare-parts lists correctly, find the right product across many brands and answer manual and service questions instantly, without long searches.

APPLICATION ENGINEERING

Less pre-research

Fewer recurring standard questions, faster pre-check of media, materials and limits, access to similar cases, answers with sources instead of gut feeling.

SERVICE

Cut downtime

Faster search in manuals, spare-parts lists and service cases, more consistent answers to recurring questions and better support for new colleagues.

MANAGEMENT

Less dependency

Less dependency on the manufacturers' inside sales and on individual knowledge holders, faster onboarding, more capacity in inside sales and an entry without a big IT project.

05 · Shadow AI

Your people already use AI. Just uncontrolled.

Your team saves itself time and secretly asks ChatGPT and similar tools. Understandable. But that is currently one of the biggest risks in the business.

What happens

Employees dump datasheets and queries into public chatbots. Privately, past IT.

The problem

The answers sound logical but are sometimes completely wrong. Nobody notices, because the source is missing.

The danger

Company data leaves the house uncontrolled. No audit, no GDPR proof, no control.

Banning it doesn't work. Instead, give your people an approved, safe variant with sources. If it's better than the private tool, shadow AI takes care of itself.

06 · Differentiation

Not just any chatbot. Your own knowledge advisor.

A general chatbot doesn't know your products, documents, releases, old quotes and service cases. The difference lies not only in the AI, but in your own knowledge base.

General chatbot

  • doesn't know your datasheets and catalogs
  • no sources from your house
  • invents plausible-sounding answers
  • doesn't know your projects and service cases

AI knowledge advisor

  • works on your approved documents
  • answers with a source
  • doesn't guess, asks back or reports „not found"
  • knows your products, projects and experience
07 · Security & trust

The pilot deliberately starts with non-critical data.

For the entry, no confidential customer data, prices or secret project files are needed. The pilot can start with documents that are already available or non-critical anyway.

DatasheetsOperating manualsCatalogsTechnical descriptionsProduct infoFAQ

Only once the value is proven is the knowledge base expanded in a targeted way.

08 · Pilot project

Start small. Prove value. Then decide.

The entry is a clearly bounded pilot. No big IT project, no full system migration.

01Choose a product areaa clear starting point
02Collect approved documentsdatasheets, manuals, FAQ
03Build the first knowledge basestructure, index
04Test with real questionssales, technical, service
05Assess qualityanswers, sources, time saved
06Decide on rolloutonly after proven value

Discuss a pilot →

09 · Business case

The benefit: a faster inside sales team.

The AI knowledge advisor doesn't need to transform the whole company to pay off. When the daily search work falls away, inside sales works noticeably faster. That is the real metric.

Inside sales20–30%faster (search work falls away)
Per employee~5 hper week freed for quotes & customers
Onboardingfasternew people productive right away
Pilotfrom €500per month

Per employee, several hours per week are freed up that flow back into quotes and customers. Across the team this adds up quickly, without any new staff.

10 · FAQ

What decision-makers rightly ask.

We already have a working system. Why should we do this?

Precisely then it pays off. The AI agent replaces nothing, it is an enabler. The better your system and documents, the stronger it works. The search work has to be done every day anyway. That is exactly the work the agent takes over.

Our people already use ChatGPT privately. Isn't that a problem?

Yes, it's even dangerous. Public chatbots often give answers that sound logical but are sometimes completely wrong. Without a source, nobody notices. On top of that, company data ends up in foreign tools uncontrolled. The AI agent gives your people a safe alternative that answers only from your own documents, with a source.

Do we have to upload confidential data?

No. The pilot deliberately starts with non-critical and approved documents like datasheets, manuals, catalogs and technical FAQ.

What happens if the AI doesn't know something?

Then it should not guess. It asks back or openly reports that the information was not found in the approved documents.

Does this replace our employees?

No. It makes them faster and works alongside them. It takes over search, repeat questions and pre-research, the decision stays with the human. New employees become productive much faster, because they find answers themselves right away.

Is this a big IT project?

No. The whole handling runs through us. In the pilot we take over everything except handing over the documents and clarifying a few points. Your company and your IT are not burdened.

Next step

Your experts decide.
The assistant prepares.

The AI knowledge advisor makes existing product and experience knowledge usable faster, without replacing your existing system. Sales, application engineering and service are relieved, while technical responsibility stays with the human.

No big IT project. Entry with non-critical data. Assessment after 4 to 8 weeks.

Discuss a pilot →