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Automating supplier price list checks

Short answer

Automated price list checks compare a supplier's new list with the approved version and the item map before import into your system. The buyer sees a change of unit, minimum quantity or validity date, and lines that need a decision go to a separate queue. At Syntalith the system costs from €3,000 net and at 3,000 lines a month pays back in 2.0 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net for the automation of one process, build paid once
from €3,000
from signing the contract to acceptance
2–6 weeks
free prototype on your cases
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Purchasing and AI: statistics 2026

2.0 mo.

payback of a €3,000 check at 3,000 price list lines a month: €1,745 of work today, €274 with the system. Scenario.

Figures checked: 22 October 2026

What changes besides the price

A supplier sends a new list. For one product the unit changes from a piece to a pack, and with it the minimum order quantity. The item code looks like the old one. Comparing the amounts alone will mark the line as cheaper, although the buyer will pay more per piece.

That is why the check sets three things side by side: the last approved version of the price list, the new list and the company's map of items and units. If the supplier's document gives the pack size, the team judges the conversion. If it does not, the line waits for clarification.

What each flag shows the buyer
  • The source version and the row number
  • The old and the new value of the field
  • The kind of change: unit, minimum quantity, price, currency, date
  • The decision needed from the employee
  • Whether the gap concerns one row or the whole list, for example an unknown currency in the header

The date received does not set the date of validity

The date the file arrived does not say from when the system should apply the new terms. An approved priority rule can handle overlapping dates. When two entries for the same combination of supplier, item, unit, minimum quantity and currency overlap without such a rule, the case goes to the approver. Purchasing systems store prices that depend on the supplier, the item, the minimum quantity, the unit and the dates, as for example Microsoft's documentation on purchase prices describes.

A change log for the buyer

The result of the check is three lists: lines accepted for import, changes waiting for a decision and unresolved cases, for example a missing pack size. The log shows the source version and the changed fields, so a month later it is clear who approved the new unit and on what basis.

Also settle whether a gap concerns one row or the whole list. An unknown currency in the header holds back the assessment of every line, even if each has a correct item code. The scope of a held import should match what really cannot be assessed.

What automated price list checks cost and when they pay back

Scenario: 3,000 price list lines a month
Today
3,000 lines × 1 min = 50 h (€1,745)
With the system, a person checks the output in 15% of the time
€262
Model, 1 call per case, Claude Sonnet 5.5
€12
Cost of one case
€0.58 today, €0.09 with the system
Saving
€1,471 a month

Payback of €3,000

2.0 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 1,200 input tokens and 200 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

When rules are enough

What to choose
  • A stable file layout and clear import rules

    validation in the system or fixed rules

    €0

  • A short list the buyer checks in full anyway

    a spreadsheet with a version history

    €0

  • Files and documents laid out differently by many suppliers

    reading with AI and a check before import

    from €3,000

A model is not needed for every list. If the approved pack size is missing, extracting the text will not add it. According to the European Commission (2026), 90% of companies using AI say that people take the decisions, and that is how it should be with purchase prices.

With every new list, the buyer should see in a few minutes what changed, without comparing thousands of rows by hand. That is the whole value of this automation.

A test on supplier lists

Accepting the price list check
  1. 01New column layoutThe fields land in the right terms despite the changed file.
  2. 02Change of unitThe line goes to the queue and stays out of the import.
  3. 03Date conflictTwo overlapping entries without a priority rule wait for a decision.
  4. 04False alarmsThe number of flags must not bury the buyer, or they will stop reading them.

If the test lets an unapproved unit through or hides a date conflict, the list is not ready for import. The price list check concerns the terms of future purchases. The later settlement against the contract is described in the article on supplier rebate reconciliation. For the call, prepare an anonymised old and new list, the map of items and units, and the import format.

Worked example · Scenario

How we count the payback: the purchasing team

We run the same count for your suppliers in the free analysis.

€2,792

a month for checking 800 supplier invoices by hand

Payback: 1.3 mo.

6 minutes to compare an invoice with the order and the goods receipt and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: €0.0040 per invoice, measured in our invoice coding system (0.004514 USD), at the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

This process can go on its own. You will check this on your cases before you pay.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

AI automations

This process can go on its own. You will check this on your cases before you pay.

The system takes over repetitive work from emails, documents and spreadsheets, and hands over uncertain matters to a human. A prototype for 20-100 cases that your team has already handled costs €0. You pay the other half of the price when the system reaches your goal.

See AI automations →
net for the automation of one process, build paid once
from €3,000
from signing the contract to acceptance
2–6 weeks
free prototype on your cases
€0

Questions

  • What does an automated price list check look at?

    A change of unit, for example from a piece to a pack, the minimum order quantity, the validity date, the currency and overlapping entries for the same item. Each flag shows the source row, the old and new value and the decision needed from the buyer.

  • How much does automating price list checks cost?

    At Syntalith from €3,000 net. At 3,000 lines a month and one minute of manual checking each, it pays back in 2.0 months, counting the buyer's checking and the model cost.

  • When are the system's own rules enough?

    With a stable file layout and clear import rules, validation in the system or fixed rules that compare fields are enough. AI makes sense when suppliers send files and documents laid out in different ways.

  • Does the system import the new price list on its own?

    Not without approval. A change waits in the review queue, and an unresolved date conflict or an unapproved unit holds back the import of those lines.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.