FoodBridge demo
Match donations to programmes that can take them
Match surplus to nearby programmes by what they can actually collect, store and use.
The challenge
Matching is done by phone, so donations go to whoever answers rather than who can use them.
The scenario
A chilled donation needs a programme with cold storage and transport available this afternoon.
What goes in
- Available surplus
- What is available and for how long.
- Programme capacity
- What each programme can collect, store and use.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Which programmes can take chilled goods today?”
- “Who is closest with capacity?”
- “Why was this match chosen?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Read capacity
SourceTake what each programme can genuinely handle.
Match
AI-inferredPair surplus with programmes able to use it in time.
Explain the match
AI-inferredState why a programme was selected.
What you get
The shape of what comes back — not a promised result.
Matched donations
AI-inferredSurplus paired with programmes, with reasoning shown.
Why it matters
- Food reaches capacity
- Donations go where they can actually be used.
Related demos
FoodBridge
Find surplus while it can still be donated
Surface surplus from operational signals early enough to arrange collection.
3 minute walkthrough
- Inventory Optimisation
- Forecasting
FoodBridge
Coordinate the collection
Arrange and track transport so a match becomes a completed collection.
3 minute walkthrough
- Evidence Trail
- Inventory Optimisation
FoodBridge
Report what actually moved
Produce donation impact reporting as a by-product of the workflow rather than a separate exercise.
3 minute walkthrough
- Evidence Trail
Want to try this with your own work?
Open FoodBridge and bring your own data. No signup is needed to read these demos.