OFM chatting automation
Definition
OFM chatting automation refers to the full set of automated processes used to manage conversations: sending welcome messages, automated discovery, scheduled follow-ups, detection of purchase signals, sending sales scripts, and notifications to human chatters. The goal is not to automate 100% of chatting, but to automate low-value volume so humans can focus on what drives revenue.
Concrete example
Automated workflow with Desirely: new fan → automatic welcome message → AI-powered discovery (10-30 messages) → purchase signal detected → Telegram notification to the chatter → the chatter takes over for the high-value sale. AI handled 95% of the work, and the human steps in for the 5% that matter.
Best practices
Automate first: welcome messages, discovery, re-engagement of inactive fans, and filtering out timewasters. Keep humans on: VIP sales, customs, and complex negotiations. Automation should be invisible to the fan.
Key figures
Automatable share of chatting: 90-95%. Average time saved: 60-80%. Impact on chatting ratio: +20-50% (chatters focus on value).
Common mistakes
Automating too aggressively without testing. Or, on the flip side, refusing all automation out of fear of hurting quality.
Did you know?
Desirely's philosophy comes down to one sentence: "AI on volume, humans on value." It's the hybrid approach that delivers the best results.
