Fawaz Ibrahim
All work
Einsight preview
Case study

Einsight

Built the whole system and the AI, solo

4pricing tiers, one credit system
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Problem

Brand activation agencies were flying blind on two things at once. Which stores and campaigns were running low, and which field agents were genuinely doing the work versus filling in forms. The signals existed in the field. They just never made it back to anyone who could act on them in time.

What I built
  • A live command center for active campaigns, agents in the field, submissions logged, and locations covered, updated the moment it happens rather than at end of day.
  • A merchandising and stock intelligence module with live stock levels, Days of Cover, reorder points, and restock task flows, so a low shelf becomes an assigned task instead of a guess.
  • A three axis performance model that scores agents on timeliness, volume, and insight quality, so activity can't be faked by volume alone.
  • An image compression pipeline for field photo evidence, keeping proof of work fast to upload and cheap to store on unreliable mobile connections.
  • Joe, an AI field assistant that answers, in plain language, how campaigns are doing, what is at risk, and what to do next. Metered by a credit system priced across four tiers so AI usage stays profitable.
Outcome
  • Campaign status, stock intelligence, and field performance run off one live system instead of scattered spreadsheets and chat threads.
  • The AI assistant is metered by a credit model tied to real unit economics, so it can scale without quietly losing money on every query.

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