Which items should we swap, and what does it add to revenue?
Synthexa proposes swap pairs and shows the effect on revenue as a range. You approve every step.
- For
- Category management
- What you bring
- Your item export, one sheet per retailer, with a target and a benchmark retailer
- What you get
- A reasoned swap list per segment and the revenue bridge as an Excel workbook
Revenue bridge in €m
Axis from €17.5m
Expected +1.9%range +0.2% to +4.4%
Swap pairs
ProtectedEigenmarke Naturjoghurt 500 g Private labelSkyr Vanille 450 g New launch
| Delisting | Listing (full potential) |
|---|---|
| Joghurt Rhabarber 150 g (−212) | Joghurt griechische Art 500 g (+486) |
| Fruchtjoghurt Kiwi 250 g (−168) | Joghurt mild 500 g (+344) |
| Quarkcreme 125 g (−95) | Magerquark 500 g (+231) |
| Grießpudding Zimt 200 g (−143) | Schokopudding 4 × 125 g (+298) |
| Bananenmilch 500 ml (−121) | Schokomilch 500 ml (+203) |
| Sahnejoghurt Pfirsich 150 g (−187) | Sahnejoghurt Kirsche 150 g (+204) |
What changes
Judge the items
TodayListings and delistings are often decided on experience, not on metrics.
With SynthexaSwap list with reasons
Delistings and listings per segment, justified by scorecard and benchmark.
Use the benchmark
TodayYour own analysis and the benchmark are looked at separately.
With SynthexaBoth in one proposal
Every swap pair links a weak item with one that sells better at the benchmark retailer.
Estimate the effect
TodayThe potential of new items is overestimated.
With SynthexaRevenue bridge as a range
From today’s revenue to the assortment after the change, new items counted conservatively.
Bottom lineA reasoned swap list per segment and a revenue bridge you approve step by step.
What you can rely on
Important items stay protected.
Private labels, current launches and items you choose are never delisted.
Protected, example
- Private label natural yogurt 500 gprivate label
- Vanilla skyr 450 gnew launch
You approve every step.
Synthexa stops after each step. You review, ask questions or change settings before it continues.
One step, example
- Resultreviewed
- Settingchanged and recalculated
- Next stepapproved
Everything is in one workbook.
Every step and metric as an Excel file, to check and keep working with.
Result, example
- Assortment_retailer-A_2027.xlsxSwap list, metrics and revenue bridge
Frequently asked questions
In short
What does the revenue bridge show?
The path from today’s revenue to the revenue after the change: minus the delisted items, plus the new ones. Synthexa shows the contribution of new items as a range, because they rarely reach their full potential straight away.
- Revenue today
- €18.6m
- Delistings
- −€0.7m
- Listings, expected contribution
- +€1.1m
- Revenue after
- €19.0m
- What data does Synthexa need?
- Your item export, one sheet per retailer. You choose the target retailer and a benchmark retailer.
- What do I get, and in which form?
- A swap list per segment with reasons, and the revenue bridge. You get every step and metric as an Excel workbook.
- How does this differ from distribution targets?
- Assortment optimisation decides which items are on the shelf. Distribution targets set how widely these items should be available in the trade.
- Can I step in?
- Yes. Synthexa stops after each step. You review, ask questions or change settings before it continues, and you choose the swap pairs yourself.
- Where is my data?
- The platform is hosted in Frankfurt, and AI processing takes place in Europe. Your data is not used to train AI models.
More use cases
Distribution targets (TDP)
Which distribution targets are realistic, and what volume do they bring?
Learn morePromotion planning
When should each retailer promote, and what is the net effect?
Learn more- Your own use caseDefined together, delivered in weeks: we build your question into the platform as a fixed method.Discuss your use case
We’ll show you Synthexa with your own data.
Briefly describe your question. We reply personally within two working days.
How we start
- 1IntroductionYou describe your questions and data, we show Synthexa on a fitting example.
- 2Pilot with your dataYour team judges the value on a clearly scoped case.
- 3RolloutWe set up users, single sign-on and your slide master.

