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AtlasRepo

Loopcall: Meet Sonali, a Voice - First AI Agent that Confirms D2C Orders At Zero Cost

Описание и применение

Loopcall использует локальный Excel‑файл и открытые модели для автоматической проверки заказов, сокращая ручные звонки и предотвращая потери от фальшивых COD‑заказов.

Задача

Incomplete delivery details and fake Cash on Delivery (COD) orders cause manual calls, delayed fulfilment, and financial loss for small e-commerce businesses.

Результат

Loopcall reduced manual calls, prevented failed deliveries from fake COD orders, and maintained order data locally without external cloud services.

Рабочий процесс

  • Read flagged order from local Excel workbook
  • Identify concern (e.g., missing pincode, unverified COD)
  • Initiate outbound call using a telephony provider
  • Guide customer through a concise, contextual conversation
  • Analyze response to determine verification success or need for human review
  • Update relevant fields in the original Excel workbook
  • Flag complex cases for human intervention

Доказательства

Incomplete delivery details mean more manual calls, delayed fulfilment, and wasted operational time.

Источник

Sonali reads order details from a local Excel workbook, identifies the flagged concern, and calls the customer to resolve it through a natural, conversational voice interaction.

Источник

Loopcall uses an offline Excel workbook as its source of truth.

Источник

Three open-weight models on one laptop: Whisper-Hindi2Hinglish-Swift, Gemma 4 E4B via Ollama, Kokoro-82M.

Источник

  • Дата записи: 2026-10-19T08:41:17.692Z