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Your customer moved warehouses. Where will the next delivery go?

Short answer

When a client moves deliveries to a new warehouse, the automation copies the approved address to the delivery point in every system, leaves the billing address unchanged and lists open orders with the old location. The team decides which deliveries to change. At Syntalith the automation costs from €3,000 net, and with 120 location changes a month at 25 minutes each it 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

Logistics and automation: statistics 2026

2.0 mo.

payback of a €3,000 automation at 120 location changes a month: €1,745 of work today, €263 with checking and the model. Scenario.

Figures checked: 22 October 2026

A new delivery point, the same billing data

The client named a new warehouse and agreed from when it accepts deliveries there. The billing address stays the same. Customer service approved the change, and on the next order the distribution system still suggests the old location, because a copy of the address sits in the customer master, the order software and the shipping tool.

An employee copies the approved address to the right delivery point and keeps the billing data. The team settles what happens to orders already accepted: some deliveries may still be agreed for the old warehouse, and the next ones go to the new one. A list of open orders with the old location lets them decide. The documents of past deliveries keep the place the goods were actually sent to.

A client's location change
  1. 01Approvalthe new delivery point and the date it applies from
  2. 02Customer masterthe delivery address changed, the billing address unchanged
  3. 03Systemsthe same delivery point in orders and shipping
  4. 04Open ordersa list with the old location for a decision
  5. 05Failed transferthe place where the old address remains, made visible
What the automation does not change
  • The client's billing address
  • The documents of past deliveries
  • Orders agreed for the old warehouse, without the team's decision
  • Delivery points of other clients with a similar address

What automating customer location updates costs and when it pays back

Scenario: 120 location changes a month
Today
120 location changes × 25 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
€0.69
Cost of one case
€14.54 today, €2.19 with the system
Saving
€1,482 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: 2,000 input tokens and 300 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around each case: searching, reading, writing and handing over. What remains is the time to check the result, 15% of today's work in the scenario. Before the quote we measure both times on 20 to 100 cases the team has already handled, in a free test that takes 5 working days.

The scenario assumes 120 location changes a month at 25 minutes each: finding the delivery point in three systems, changing it and checking open orders.

Check how your current system separates addresses

Sales systems usually separate the roles of the billing address and the delivery address, and changing a shared address can affect several roles that use it. If the team works on one customer master, configuring it and sharing the current location with the people who take orders is enough. An extra connection makes sense when the distribution software or the shipping tool keeps its own copy of the address. Copying the approved address can rest on an ordinary integration, and AI only helps prepare data from the client's message for review. Similar data transfer is covered in the article on delivery date synchronisation.

Customer master, integration or AI
  • One customer master for everyone

    configuration and access to the current location

    no build

  • Several systems with a copy of the address

    an integration of the delivery point between systems

    from €3,000

  • Changes arrive in free-form messages

    an AI step that prepares data for review

    from €3,000

Where to start

The first scope covers a chosen group of delivery points. For the call, describe the last time a client moved its warehouse: where data had to be changed by hand and which deliveries needed a separate conversation. We build this kind of system as part of our AI automations. For the free process review, a description of one case from the last few weeks and the tools it went through is enough. You do not need to send confidential documents, and you receive a written plan within 2 working days.

Worked example · Scenario

How we count the payback: delivery data

We run the same count for your clients in the free process review.

€1,745

a month for retyping 1,000 CMR and POD documents

Payback: 2 mo.

3 minutes per document 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. We use it here in place of a transport sector wage. Model cost: 0.007617 USD per reading, measured in our system, which is about €0.0069 per document, 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

  • How do you update a client's delivery address in every system?

    An integration copies the approved delivery point to the customer master, the order software and the shipping tool, and the billing address stays unchanged. A failed transfer shows where the old address remains.

  • What about orders already accepted for the old address?

    The team decides. The automation shows the list of open orders with the old location, and some of them may still be agreed for the old warehouse.

  • How much does such an automation cost?

    At Syntalith from €3,000 net. With 120 location changes a month at 25 minutes each, the payback is 2.0 months. We agree integrations and maintenance before the quote, and the model costs under €1 a month.

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.