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Franchise reporting without rebuilding every file
Short answer
Franchise data intake automation recognises known export formats, maps the columns to a shared summary, asks the outlet about columns with an unclear meaning and shows head office which outlets have not sent their data yet. At Syntalith the automation costs from €3,000 net, and with 120 files from outlets a month at 25 minutes each it pays back in 2.3 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 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
Statistics
Franchise networks and AI: statistics 2026
2.3 mo.
payback of a €3,000 automation at 120 files from outlets a month: €1,745 of work today, €438 with checking and the model. Scenario.
15.5%
According to Eurostat (2025), 15.5% of EU retail companies with at least 10 employees used AI.
Source: Eurostat, artificial intelligence by NACE activity (2025) ↗
26.2%
According to Eurostat (2025), 26.2% of EU companies analysed data from transaction records such as sales and payment records.
Source: Eurostat, digital economy and society statistics, enterprises (2025) ↗
90%
According to the European Commission (2026), 90% of companies using AI say that people take the decisions, and 2% of decisions are fully automated.
Source: European Commission, Flash Eurobarometer 578 (2026) ↗
14–56%
According to Anthropic (2025), studies with a control group found smaller time savings, from 14% to 56%.
Source: Anthropic, Estimating AI productivity gains (2025) ↗
Figures checked: 22 October 2026
Franchise reporting: two columns with similar names
Head office collects the number of completed orders for each outlet for the month. One outlet sends an export with a completed_orders column, another with an orders column, which may also include cancelled ones. A head office employee cannot settle this by changing the header: they need an answer from someone at the second outlet about what that number covers. Without that answer, one outlet looks better in the ranking, although it has the same number of completed orders.
Once the meaning of the column is confirmed, head office records which field of the summary it goes to. The next file in that format goes through without a question. The data keeps a link to the file, the outlet and the month, so the person checking the summary can go back to the source.
- 01Arrivala file from email, a folder or a portal, assigned to the outlet and the month
- 02Formata known format mapped automatically
- 03Uncleara question to the outlet about the meaning of a column
- 04Gapsa list of outlets whose data has not arrived yet
- 05Summarydata with a link to the source file
What franchise data intake automation costs and when it pays back
- Today
- 120 files from outlets × 25 min = 50 h (€1,745)
- With the system, a person checks the output in 25% of the time
- €436
- Model, 1 call per case, Claude Sonnet 5.5
- €2
- Cost of one case
- €14.54 today, €3.65 with the system
- Saving
- €1,307 a month
Payback of €3,000
2.3 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: 6,000 input tokens and 500 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, 25% 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.
More important than head office's hours is when the summary is ready. When data trickles in until the middle of the next month, the conversation with outlets is about the past. In the test we measure the day the summary is complete, before the rollout and after it.
When Power Query is enough
If outlets send uniform exports, start with the tool head office already uses. Microsoft describes combining files from a folder in Power Query. A shared template and agreed definitions are enough if the outlets can use them, and head office still watches for missing files. An automation makes sense when files arrive in different places and formats and the clarifications stay in correspondence. Sharing results with franchisees is a separate stage, described in the article on clarifications from branches.
Uniform exports from outlets
Power Query from a folder
no build
A shared template, a few outlets
a template with column definitions
no build
Dozens of outlets, different formats and channels
an intake automation with questions
from €3,000
Where to start
The first scope covers one monthly summary. Head office names the data it expects and the outlets, and the outlets name the people who explain their files. 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: reporting automation
We run the same count for your network in the free process review.
€1,815
a month for 12 h a week of report preparation
Payback: 1.9 mo.
The hours for each firm size 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 measured the model cost in our report system: a commentary with a check of the figures costs about €0.0002, converted at the NBP rate of 21 October 2026 and the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →