Text and structured lists first
Capture
The household deliberately shares a need, list or at-home state. Image, receipt, video and voice input are planned later.
CAPTURE → UNDERSTAND → PREDICT → DECIDE → AUTHORIZE → ACT → RECONCILE → LEARN
Pre-product · simulated journeyA decision loop grounded in household reality.
Groceria begins with voluntary context, makes uncertainty visible, asks the household to authorize the next step and uses reconciliation to keep the model honest.
Explore the simulated journeyEstimated physical state
Understand
Items, quantities, locations, condition and confidence are inferred; uncertainty is surfaced for correction.
Likely upcoming needs
Predict
Timing, use rhythm, household rules and permissioned context help rank what may matter next.
Multi-objective basket logic
Decide
Total cost, pack size, substitutes, availability, urgency, waste and convenience are considered together.
Household permission
Authorize
The household corrects the plan, sets boundaries and explicitly approves the next step. Predicted need is not permission.
Authorized execution
Act
An eligible retailer or marketplace may fulfil the approved plan. Groceria prepares and explains; it is not the fleet operator.
Reality corrects the model
Reconcile
Receipts, substitutions, non-delivery and user corrections update the household state.
Permissioned relevance
Learn
The system can improve future recommendations without requiring hidden surveillance or data resale.
THE DEEPER SYSTEM
Need to outcome, with permission in the middle.
Real-world state → need emerges → intent confirmed → alternatives evaluated → decision explained → permission / authorization → execution → outcome reconciled → learning.
Stateful representation of household items, consumption, preferences and uncertainty.
Relationships among products, quantities, usage rhythms, substitutions and context.
Multi-objective logic across cost, time, availability, waste and convenience.
Turns household context and eligible options into an explainable recommended action.
IN-STORE DECISION MODE™
Planned capabilityThe same intelligence, even when you are already in the store.
A voluntary shelf or product scan could consider the current store, other eligible physical and online options, urgency, pack size, travel, availability, waste and household preferences.
Buy hereBuy elsewhereBuy onlineSubstitutePostpone
CHOOSE YOUR PATH
The next grocery basket should begin with what your household actually needs.
Groceria™ — The intelligence layer between household need and commerce outcome. Enquiry drafts are local previews; nothing is sent.
Before you start
Can I order through Groceria today?
Groceria is pre-product. You can try a simulated journey now; it does not place an order or process payment.
What happens to my demo data?
Sample quantities and enquiry drafts remain on the open page until reload. Only your selected language is remembered in a functional cookie.
Do the images and receipts represent live integrations?
The images are illustrative. Visual input, receipt scanning and retailer integrations remain planned; the demo simulates reconciliation.
How is the suggested plan chosen?
The demo compares fictional item prices and delivery fees, then applies your quantities and minimum saving for an extra delivery. You can inspect the arithmetic, edit or undo.