Editions
Not every household shops the same way at every stage of life. These four editions sketch how the same values-first scoring behind this tool could adapt to specific needs, as planned criteria overlays and filters rather than separate products. None of this is built yet; each section names what the mechanics would need to do.
Ready-made meals
Prepared food, whether a meal kit or a fully cooked dish, trades cooking time for someone else's kitchen. That trade does not have to give up the values this tool already scores for: a values-conscious ready-meal ordering flow would rank providers the same way farm boxes and supermarkets are ranked here, by ownership, sourcing, and working conditions, not only by speed or price.
The best existing meal-kit and prepared-food services already do some of this well, mostly on ingredient sourcing and food waste; the gap is usually on ownership structure and labor conditions in the kitchens doing the prep. An edition here would replicate what those services get right on sourcing and add the criteria they tend to skip.
Planned mechanics:
- Filter providers to the delivery-service and food-rescue categories already in the tool
- Weight preset that raises employees and reuse (packaging) above their defaults
- Surface prep-kitchen labor sourcing as its own rating line, not folded into "employees"
Pregnancy
Pregnancy adds a firm layer of exclusions on top of the values criteria: some foods carry a real infection or contamination risk to the fetus regardless of how well-sourced they are. Germany's federal nutrition centre (BZfE) advises against raw or undercooked meat and fish, cured raw meats, and unpasteurized ("raw") milk and the soft cheeses made from it. Germany's food-safety risk institute (BfR) groups pregnant women among the "vulnerable groups" it advises to avoid dishes with raw egg unless the eggs are fully cooked again, since eggs can carry Salmonella. Austria's food-safety agency (AGES) advises complete avoidance of alcohol and restricting caffeinated drinks, without giving its own number; the specific ceiling most food-safety bodies point to, up to 200 mg of caffeine a day (about two cups of filter coffee), comes from EFSA's 2015 scientific opinion on caffeine safety.
Beyond the exclusion list, pregnancy often shifts a household toward quicker, more frequent, on-demand ordering rather than a weekly farm box planned days ahead, since appetite, nausea, and energy can change from one day to the next. An edition here would keep the same values scoring but reorder providers by how well they support small, fast, last-minute orders.
Planned mechanics:
- Hard exclusion filter on flagged products (raw meat/fish, raw-milk dairy, raw egg dishes, alcohol), not just a warning label
- Caffeine content shown per product where known, flagged near the 200 mg/day guidance
- Ranking bias toward same-day and click-and-collect providers over weekly box models
Sources: AGES (Österreichische Agentur für Gesundheit und Ernährungssicherheit), 2026 [A] (undated page, accessed 2026); Bundeszentrum für Ernährung (BZfE), 2025 [A]; Bundesinstitut für Risikobewertung (BfR), 2024 [A]; EFSA Panel on Dietetic Products, Nutrition and Allergies, Scientific Opinion on the safety of caffeine, 2015 [A].
Specific diets
Vegan, vegetarian, and allergen-restricted households already filter every grocery decision on top of whatever else they care about. Rather than building separate vegan or allergen-safe lists, this tool's planned approach treats diet restrictions as a criteria overlay: a filter layer that runs before the values scoring, not a replacement for it.
That keeps the two concerns separate on purpose. A vegan household still wants to know whether a provider is worker-owned or regenerative; a diet filter should narrow the candidate list, not change how the survivors get scored.
Planned mechanics:
- Pre-scoring filter: vegan, vegetarian, and a configurable allergen list (gluten, lactose, nuts, etc.)
- Products/offers tagged against the filter set as data is added, not inferred at query time
- Filtered-out items shown as a count, not silently dropped, so coverage gaps stay visible
Bulk & cellar storage
Households with a cellar, a large pantry, or simply more storage space can buy differently: fewer, larger deliveries instead of frequent small ones. Bulk buying usually lowers per-unit price and packaging waste per item, but only for goods that actually keep, and only if the upfront volume gets used before it spoils or goes stale.
Grains, dried legumes, root vegetables, and most pantry staples store for months with no special equipment; a root cellar or cool basement extends that further for potatoes, onions, apples, and squash. This edition is about matching the bulk-buying economics to what a household can realistically store, not just to what looks cheapest per kilogram.
Planned mechanics:
- Storage-life field per product, separating "keeps for months" from "buy weekly" items
- Bulk-size offers ranked by true per-unit price once package size is normalized
- Optional household storage profile (cellar, pantry only, fridge only) to bias what surfaces