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Problem Radar · Food · Problem 0015

Unmeasured supply loss: Growers and buyers can't see the food lost between them

Loss happens at the handovers: field to packer, packer to distributor, distributor to shelf. Every party measures only its own side of each one. So each set of numbers looks defensible while the total is enormous, and the interventions that would work are precisely the ones nobody can see, because they sit between two businesses rather than inside one.

Inspired by reporting from Food and Agriculture Organization of the United Nations

Who lives with it
Growers and packers · distributors and independent retailers · redistribution charities working the same corridors
Why now
FAO estimates that 13.3% of the world's food was lost in 2023 after harvest and before retail, on farms and in transport, storage, wholesale and processing, up slightly from 13.0% in 2015 when global monitoring began.
Why it matters
Measurement at the handover is the wedge, and it is cheap: the produce is already photographed, weighed and scanned on both sides of every transfer. Nobody is joining those records, because each side owns only its own.
From public reporting
Framed from public reporting. Here is what it was drawn from, so the framing can be checked against it:
On the Index
Found by Ainna's Radar in public reporting, then chosen and edited by Ainna's innovation team for Edition 1. How Problem Radar works
How to take it on
What the work becomes
Work it through with Ainna and it is packaged as finished documents: a problem framing document and deck, a pitch deck, a PRD and more. See the document examples
Take it to a hackathon

Use it as a challenge statement: copy it as a brief with who it affects, why now and the evidence to start from, ready for your event page. More hackathon problem statements on the Index.

In the collections
  • The measurement gap · Problems where the fix is not invention but instrumentation: something important is happening and nobody counts it where it counts.
Cite it

“Growers and buyers can't see the food lost between them.” Ainna Problem Radar, problem 0015, 21 September 2026. https://ainna.ai/problems/growers-and-buyers-cant-see-the-food-lost-between-them

Problem Radar listens to public reporting, from institutions, research and the press, for problems worth solving, and frames each one to the same standard; Ainna's innovation team chooses and edits every problem before it goes on the Index. Every problem says where it came from, so the framing can be checked. Nothing on the Index comes from a user, and what you bring to Ainna is never published. How Problem Radar works.

More on the Index

Three more worth solving.

Education

Unverifiable student work: Teachers can't tell who learned and who prompted

Most institutions are writing or planning a policy about AI; few have changed what they actually measure. The essay, the problem set and the report were proxies for thinking that worked only while producing them was expensive. That assumption is gone. Detection tools are unreliable enough to risk accusing the wrong students, and much of what is graded no longer shows reliably what a student understands.

Inspired by reporting from UNESCO

Framed 21 Sep Critical (Ainna's editorial grade)

For whomTeachers and lecturers redesigning assessment alone · students wrongly suspected · institutions whose credentials depend on the answer
LinkedIn Email

Health

Stale AI approvals: Medical AI keeps changing; its safety checks haven't kept up

Before a hospital or clinic can use an AI tool, the tool is tested and approved. That happens once. Afterwards, the rules mostly wait for someone to report that something went wrong. But an AI tool does not stay the way it was tested. It gets updated. It behaves differently with real patients than it did in the test. And it can work well in one place and less well in another. So a single test, done once before the tool went into use, cannot tell you whether it is still safe where you are treated today. What is missing is a way to keep testing it while it is in use, to update it carefully, and to help hospitals and clinics see for themselves how it is doing.

Inspired by reporting from Medicines and Healthcare products Regulatory Agency

Framed 26 Sep High (Ainna's editorial grade)2 sources

For whomHealthcare provider governance teams · Healthcare professionals using AI · Patients receiving AI-supported care
LinkedIn Email

Logistics

Unpredictable landed cost: Small importers can't predict what a shipment will cost

A small importer commits to an order months before it lands and discovers the real cost on arrival: duties applied differently than expected, a classification disputed, fees that were never quoted. Large firms keep trade teams and brokers for exactly this. A five-person business has a spreadsheet and a guess, and prices a whole catalogue on that guess.

Framed by Ainna editorial

Framed 21 Sep High (Ainna's editorial grade)

For whomSmall e-commerce brands and independent retailers · the freight forwarders serving them · their customers, eventually
LinkedIn Email

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