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AI for coordinating product recall replies
Short answer
An AI agent for a batch recall reads the recipients' replies, sets the quantities they give against the quantities shipped and writes questions about missing packs for the coordinator. A person approves the decisions about the recall and the messages to recipients. The agent costs from €3,000 net at Syntalith and, with 300 recipient replies a month at 12 minutes each, pays back in 2.1 months.
How we workDetails ↓
- 01Call30 minutes with an engineer, free
- 02PrototypeA working system on your process and data, free
- 03ImplementationTarget and fixed price in the contract; 50% at signing
- 04Acceptance50% once the agreed target is met
- net per agent for one process, build paid once
- from €3,000
- from signing the contract to acceptance
- 6–16 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
Statistics
Manufacturing and AI: statistics 2026
2.1 mo.
payback of a €3,000 agent with 300 recipient replies a month: €2,094 of work today, €635 with checking and the model. Scenario.
17.3%
According to Eurostat (2025), 17.3% of EU manufacturing enterprises with at least 10 employees used AI.
Source: Eurostat, Artificial intelligence by NACE Rev. 2 activity (isoc_eb_ain2) (2025) ↗
90%
According to the European Commission (2026), 90% of companies that use AI say people take the decisions, and 2% of decisions are fully automated.
Source: European Commission, Flash Eurobarometer on AI and algorithmic management (2026) ↗
−87%
According to Anthropic (2025), AI cuts the time of a task on invoices, memos and other documents by an estimated 87%.
Source: Anthropic, Estimating AI productivity gains (2025) ↗
14–56%
According to Anthropic (2025), controlled trials found smaller time savings, from 14% to 56%.
Source: Anthropic, Estimating AI productivity gains (2025) ↗
Figures checked: 22 October 2026
„We have set the goods aside” does not account for the whole quantity
A company is running an approved recall of a named batch. According to the shipment list, a distributor received twenty packs. It replies: „We have twelve set aside”. It says nothing about the other eight. Another recipient only confirms it has read the message, and a third writes about a return without giving a quantity. The coordinator has dozens of such replies and has to build the state of the recall from them.
The agent shows the quantity given next to the shipment list and prepares a request to explain the remaining eight packs. The coordinator reviews it before sending. When the distributor adds that it is checking a second warehouse, the explanation goes onto the same line. The number of packs found in the warehouse and the number returned may describe the same goods at different stages, so the agent keeps the units and the scope of each statement and adds nothing up without a rule.
- The quantity shipped according to the shipment list
- The quantity given in the reply, with a quote and the date
- The missing explanation and a draft question
- The history of earlier replies for a colleague who steps in
What it costs and when it pays back
- Today
- 300 recipient replies × 12 min = 60 h (€2,094)
- With the system, a person checks the output in 30% of the time
- €628
- Model, 2 calls per case, Claude Sonnet 5.5
- €6
- Cost of one case
- €6.98 today, €2.12 with the system
- Saving
- €1,459 a month
Payback of €3,000
2.1 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: 4,000 input and 400 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 a case: searching, reading, writing and passing things on. What remains is the time to check the output, 30% 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 €0 test that takes 5 working days.
In a recall, time also has a value beyond the coordinator's hours. Every day without an explanation of the missing packs is stock that may reach an end customer. That is why the trial also measures the time from a recipient's reply to the question about the missing quantity going out.
Batch tracing and recipients' replies
A warehouse system often already traces a batch backwards and forwards: who received it and in what quantity. That answers the question of whom to write to. Reading the replies and working out what each one adds to the recall is separate work. With a few simple replies, a shared list is enough. Connecting the inbox makes sense when there are many recipients and the replies arrive in different forms.
A few recipients, simple replies
a shared list with quantities
no build
The batch is traced in the warehouse system
a report of recipients from the system
configuration
Dozens of recipients, replies in emails of different forms
an agent that sets the replies against the batch
from €3,000
Where to start
The first scope covers one type of recall and chosen reply channels. Your team supplies the approved scope and the way the records are kept. We build this as part of AI agents. For the free process review, a description of one case from recent weeks and the tools it ran through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.
Worked example · Scenario
How we count the payback: AI in a manufacturing company
We run the same count for your recall in the free process review.
€5,235
a month for quoting 150 enquiries by hand
Payback: 0.7 mo.
1 hour to quote an enquiry with a drawing 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: reading the enquiry in our quoting system (about €0.0008) plus pricing the lines (Claude Sonnet 5.5, about 4,000 + 1,500 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume 1 in 40 enquiries quoted the same day ends in an order that a slow reply loses today, with a margin of €688. In the review we count it on your sales process.
See the full calculation →