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The AI Assistant for your bakery

No more wrestling with reports. Just ask in chat and you get clear answers and concrete next steps.

4.6/5 on Trustpilot · 200+ bakeries

200+ bakeries run on Delicious Data

Handwerksbäckerei Mack
Bäckerei Balzer
Peter's Gute Backstube
Bäckerei Engel
Richter Altstadt-Bäckerei
Bäckerei Steiner
Höflinger Müller
Hinnerbäcker
Terbuyken
Bäckerei Kuhn
Bäckerei Lennartz
Schlegl
Brot & Sinne
Bäckerei Evertzberg
Brotklappe
Bäckerei Triffterer
Bäckerei Fuchs
Bäckerei Plentz
Backhaus Lüning
Starke Bäcker
Handwerksbäckerei Mack
Bäckerei Balzer
Peter's Gute Backstube
Bäckerei Engel
Richter Altstadt-Bäckerei
Bäckerei Steiner
Höflinger Müller
Hinnerbäcker
Terbuyken
Bäckerei Kuhn
Bäckerei Lennartz
Schlegl
Brot & Sinne
Bäckerei Evertzberg
Brotklappe
Bäckerei Triffterer
Bäckerei Fuchs
Bäckerei Plentz
Backhaus Lüning
Starke Bäcker
AI Assistant

The analyst your kitchen never had to hire.

Three things the AI Assistant does for food-service teams. Ask in chat, get answers in seconds.

See where food waste comes from.

Ask the chat about your weighing data and see exactly where the biggest lever is — per site, per component, against your quarterly target. Includes realistic savings potential in tonnes, CO₂ and rescued meals.

Keep tabs on every location.

Food cost, transactions, plate returns. All KPIs per site, with trends and anomalies. Straight from your POS and weighing data — no more weekly reporting ritual.

Hits and misses at a glance.

Which dishes sell out, which ones get left over — and what to swap in the central menu plan. Hit/miss lists over the last 4, 8 or 12 weeks, sorted by sell-through.

Automated reports

Set it up once. Read it every morning.

Every analysis can run as an automation. Daily at shift start, Mondays before the round, Fridays before the weekend, or monthly for the overview. Results land in the inbox on time, per store or as a team report.

Prompt
Author
Access
Automation
Daily briefing
Yesterday’s revenue, customers and anomalies, per store
Maria Weber
14
Every day at 05:301416.3 hrs/week
1,666 credits/week
Returns audit
Unusual returns that look like cashier typos
You
4
Every day at 09:0032.3 hrs/week
144 credits/week
Weekly recap
KPIs, trends and deviations from the last 7 days
Jakob Breuninger
14
Every Monday at 05:30142.3 hrs/week
210 credits/week
Store ranking
Stores sorted by revenue growth and hourly productivity
Lukas Maier
10
Every Monday at 08:00100.8 hrs/week
64 credits/week
Assortment trend
Growing and shrinking SKUs vs. last month
Simon Schwarz
4
Monthly on the 1st at 07:0041.1 hrs/week
89 credits/week
Monthly traffic-light view
All stores in green/amber/red at a glance
Maria Weber
4
Monthly on the 4th at 07:0040.3 hrs/week
3 credits/week

Inbox

SM
Sarah Miller
08:42
Re: Friday meeting
Sure, works for me. See you then!
SM
Schmidt Mills
06:15
Delivery week 17 confirmed
Please find the delivery note for Tuesday…
IW
Industry Weekly
Yesterday
Top stories today
These 5 topics are shaping the bakery week…
Available anywhere

At the desk. On the move. In the store.

Browser on desktop, app on mobile. Same data, always current — wherever your team is when the question comes up.

app.delicious-data.com

Good morning, Jakob

How can I help you today?
Chat promptsConfiguration
Traffic-light list
All stores in green / amber / red at a glance
Daily store report
Analyses yesterday's sales KPIs and surfaces anomalies
Returns check
Weekly scan of return entries for outliers
Assortment trend
Growing and shrinking SKUs vs. last month
Ask a follow-up…
Integrations

Pulls the data that’s already there.

We pull data straight from your ERP, your POS and your workforce-planning system. Not an IT project on your side. We set up the connection for you.

ERP / Inventory
Samuelson BackPro
BBN-Software
OPTIback (OptimoBercher)
GRIBS
BackStar
POS
Samuelson BackShop
BBN-Kasse
Vectron
copago
BackStar Kasse
ALDI Süd
Workforce
e2n
BBN-PEPZeit
Soon

Don’t see your system? Get in touch →

AI Autopilot

What makes an order smart is what you don’t see.

Once you’ve warmed up to the AI Assistant, the Autopilot takes the next step: keeping orders on track without anyone spending Friday afternoon on them. It condenses weather, history, calendar and promotions into a single, store-specific decision. Automatically, traceably, every night.

Weather, holidays, school breaks. Added automatically.

From each store address we automatically derive the nearest weather station, the right state for public holidays and the matching school-break calendar. You open a store. The forecast is sharp from day one.

IDNameTagsAdresseWetter & Feiertage
1009AichachLEHNeuer Markt 22, 86551 A…
1002GünzburgCafeMarktstraße 15, 89312 G…
1003KaufbeurenLEHBahnhofstraße 20, 87600 …
1004KemptenBahnhofBahnhofstraße 5, 87435 …
1001LandsbergCafeHauptstraße 10, 86931 L…
1005MemmingenCafeIndustriestraße 25, 8770…
1010Neu-UlmBahnhofBahnhofstraße 30, 89231 …
1008PassauCafeMarktstraße 18, 94032 P…
1007RosenheimLEHHafenstraße 8, 83022 Ro…
1006Weiden i. d. OberpfalzBahnhofSchlossstraße 12, 92637 …

Strategy, not comparison weeks.

A few strategic rules are enough: what should be available where, at what level? From those, the Autopilot computes thousands of order decisions per day. Seasonality, promotions and day-of-week patterns it learns from your data on its own. Hours saved, every day.

PrioArtikelVerbrauchsortGültig bisTypWertRundung
7Brot d. Monats06.12.Verfügbarkeit99,00 %Auf
6Kuchen Aktion24.12.Verfügbarkeit99,00 %Ab
5A-KuchenCafesVerfügbarkeit95,00 %Auf
4B-KuchenCafesVerfügbarkeit85,00 %Kaufm.
3A-BroteVerfügbarkeit95,00 %Auf
2A-BrötchenVerfügbarkeit95,00 %Auf
1A-SnacksVerfügbarkeit80,00 %Auf
7 Regeln · oberste Treffer-Regel greift
Bestellungen vom Autopilot

Order suggestions you can audit.

Click a row to open the decision log: demand per consuming SKU, leftover stock from the previous day, rounding to batch size. Every factor with its own contribution. When the question "why 96?" comes up, the answer is one click away. Not "because the model said so".

FilialeDatumArtikelBestellvorschlag
AichachMi 30.04Bauernbrot 1500g18 Stk
AichachMi 30.04Brötchen Weizen320 Stk
GünzburgMi 30.04Croissant Butter64 Stk
GünzburgMi 30.04Laugenbrezel96 Stk
KaufbeurenMi 30.04Mehrkornbrot 750g14 Stk
KaufbeurenMi 30.04Laugenbrezel96 Stk
KemptenMi 30.04Mohnbrötchen180 Stk
KemptenMi 30.04Bauernbrot 1500g22 Stk
LandsbergMi 30.04Roggenmischbrot 1000g26 Stk
MemmingenMi 30.04Mehrkornbrot 750g16 Stk
Entscheidungsprotokoll×
Artikel
Laugenbrezel
Verbrauchsort
Günzburg
Liefertag
Mi 30.04
Aufschlüsselung der angeforderten Menge
  • Bedarf92,40
    Aus 2 Verbraucher-Artikeln
    ZusammensetzungKonfigurationBedarf
    Breze75 % Verfügbarkeit56,20
    Butterbreze75 % Verfügbarkeit36,20
  • Bestand−0
    Restbestand vom Vortag
  • Rundung96
    Auf nächste Losgröße aufgerundet
Results

What our customers achieve.

Not theory. Real numbers and real voices from 200+ bakeries working with Delicious Data.

10 h
more time per week with the AI Assistant
90 %
fewer follow-up questions to HQ and owners
8 %
more revenue with the Autopilot
Questions to me dropped by 90 %. Our store managers just ask the chat instead.
Michael Obrecht
Owner, Peter's Gute Backstube
Analysis that used to take hours is now done in 30 seconds.
Anne Engel
CEO, Engel Bakery
Our returns are down 22 % and sales up 8 %. Not because we work harder. But because for the first time we plan reliably instead of guessing.
Michael Jais
CEO, Handwerksbäckerei Mack
I used to click the daily report together myself. Now it arrives in chat. Three hours saved. Every single day.
Johannes Ketterer
CEO, Ketterer Bakery
Plug and play. After two weeks everything was running.
Jan Richter
Owner, Richter Altstadt Bakery
We finally have time to talk to customers instead of spreadsheets.
Andreas Balzer
Owner, Balzer Bakery
Monday morning I already know which store underperformed over the weekend. It used to take until Wednesday. Too late to react.
Stefan Helbing
Ops Lead, Helbing Bakery
Order quantities that just work. Our store managers don't have to guess anymore.
Thomas Hinnerbäck
CEO, Hinnerbäcker
The AI catches revenue trends that I'd missed myself. Honestly impressive.
Christian Müller
Owner, Müller Bakery
What was a tool for numbers turned into a tool for decisions.
Felix Steiner
CEO, Steiner Bakery
Connected once, everything worked. Didn't expect it to be that fast.
Klaus Terbuyken
CEO, Terbuyken Bakery
FAQ

Frequently asked questions

Still have a question? Drop us a line →

Ready for less guessing and more results?

Start free with the AI Assistant, or book a call and we'll walk through your stores together.