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AlmostHuman.ai — Voice to analytics AI POC

Phykon (AlmostHuman.ai)Visit site ↗

A proof of concept that turns spoken questions into trade and operations analytics—voice as the front end to structured insight.

AlmostHuman.ai needed a fast way for operators to interrogate trade and order data without building another static dashboard for every question.

ADVOP delivered a voice-to-analytics AI POC: speech is transcribed and interpreted, grounded in the product’s data model, and answered with charts, summaries, or tabular follow-ups—so stakeholders could explore metrics conversationally during reviews.

The POC validated interaction patterns and latency targets before committing to a full production rollout, and informed how voice fits alongside the existing agent dashboards and automated order workflows.

Scope & outcomes

  • Voice capture and intent routing for analytics queries
  • Grounding responses in trade and operations data
  • Summaries and visual analytics surfaced from natural questions
  • POC scope: validate UX, accuracy, and integration hooks for a later production build
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