Мой личный склад идей
#119 · Published: 2025-12-25 11:47 UTC
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Summary
The post addresses the common issue of junk inquiries received through websites, which often lead to wasted time, resources, and increased operational costs for businesses. These inquiries may be generated by competitors or unscrupulous advertising platforms that incentivize users to leave irrelevant messages. The main problems include managers spending excessive time processing these inquiries, delays in responding to genuine leads, unnecessary expenses on notifications via SMS, WhatsApp, or email, and staff burnout from handling non-productive work. To combat this, the author proposes a solution involving AI and machine learning technologies that analyze user behavior on websites to identify patterns indicative of bots or false inquiries. This approach aims to distinguish valuable inquiries from junk, enabling better lead scoring and integration with CRM systems. The author is exploring a pilot project to test this innovative method and invites interested parties to participate and discuss further, promising a more efficient way to manage and prioritize genuine customer inquiries.
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