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A medical recall reaches a clinic's inbox But who checks the

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shelves Who follows up when a lot number is missing And

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where is the evidence that someone finished the job This is

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Lotlight a project by Shivam Gupta It connects the notice to

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a documented response Meet Willow our fictional community clinic Its

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spreadsheet has eight stock lines across four locations I can upload

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a CSV validate every row and preserve missing identifiers instead of

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quietly dropping them All the inventory you see is synthetic This

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example uses two catalog and lot pairs from a real historical

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Baxter manufacturer notice The original source stays one click away Each

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pair has its own supporting excerpt so a lot from one

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product cannot silently transfer to another Before anyone assigns a

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response a person must check the source Here is where AI

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helps Our stockroom calls this an IV line extender The notice

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uses different wording A small language model compares those descriptions

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directly in the browser without an API key It flags a

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candidate for review It cannot invent a catalog number or declare

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an item recalled For this line the manufacturer catalog and lot

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agree Lotlight shows the reason and the source evidence A similar

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product with a different identifier never becomes an exact match just

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because the AI thinks its name looks close Now the review

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becomes owned work I assign a coordinator and a due date

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record the physical label check account for the units handled and

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add a response reference These are clearly marked demonstration records In

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practice the clinic must follow the full current manufacturer instructions

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That response can now be recorded as complete But watch the

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line with a missing lot Completion is disabled Someone still has

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to find the label Partial quantities stay open too And correcting

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one inventory line creates a new revision without reopening unrelated

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unchanged work The result travels with the team Export the reviewed

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inventory a readable report or the full source and activity record

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Earlier source and inventory versions remain available This documents what

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staff recorded It doesn't pretend to independently prove a device is

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safe The first customer to test is an independent clinic still

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doing this work in spreadsheets The pricing hypothesis is 149 per

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site per month At an assumed 30 hourly staff cost 5

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hours saved would cover it That needs a real pilot Lotlight

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is a working MVP with tested safeguards and clear limits The

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next step is supervised clinic validation because publishing a recall

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starts the process A response someone can explain and finish closes

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the operational gap