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

说明与用途

Loopcall 使用本地 Excel 工作簿和开源模型自动验证订单，减少人工电话并防止假 COD 订单造成的损失。

问题

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

结果

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

工作流

• 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

证据

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

来源

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.

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

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

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