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Practical playbooks on AI customer service, automation, and turning conversations into revenue.

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Fresh insights on AI, automation, and growing sales.

How to Set Up CS to Engineering Ticket Escalation with Transparent Flow
CRM

How to Set Up CS to Engineering Ticket Escalation with Transparent Flow

A customer reports a bug on WhatsApp: the app crashes at checkout. The CS agent cannot solve it and needs to escalate to engineering. In a chaotic setup, here is what happens: the CS agent replies, “Please wait, we will check,” then silence. Two hours later, the customer follows up; the CS agent still has

Cekat AI
How to Build Customer Service Quick Reply Templates That Agents Actually Use
CRM

How to Build Customer Service Quick Reply Templates That Agents Actually Use

A customer service team with 8 agents receives the same questions every day: “Where is my order?” “How do I return this?” “What are your hours?” Each agent answers in different words. Agent A is warm and lengthy, Agent B is terse and formal, Agent C sometimes sends outdated info. Customers get different experiences depending

Cekat AI
Metrik Omnichannel Bisnis
CRM

How to Set Up Agent Rotation and Automated Chat Routing on an Omnichannel Platform

Monday morning, 08:30. Of 7 registered customer service agents, 3 are online, 2 are on break, 2 are not logged in yet. In 30 minutes, 45 chats come in from WhatsApp, Instagram, and the web. Without clear routing, what happens? Chats enter a general queue, online agents grab chats randomly, difficult chats pile up with

Cekat AI
Automated WhatsApp Broadcast Follow-Up for Telesales Leads That Does Not Get You Banned
CRM

Automated WhatsApp Broadcast Follow-Up for Telesales Leads That Does Not Get You Banned

A telesales team completes 180 calls in a week. From that number, 60 prospects showed interest and agreed to continue the discussion via WhatsApp. The question: who will follow up with these 60 prospects within 24-48 hours, and with what context? If reps do it manually, 60 prospects become 20 followed up well, 20 followed

Cekat AI
Fitur CRM Wajib
CRM

How to Measure Chat to Deal Conversion Ratio from CRM Data and Interpret It Right

Two sales reps show their dashboards to the manager. Rep A: 240 chats, 12 deals, chat-to-deal ratio 5%. Rep B: 60 chats, 9 deals, chat-to-deal ratio 15%. Rep B’s numbers look much better. Manager’s conclusion: Rep B is more effective; Rep A needs coaching. One month later, it turns out Rep A produced $12,000 in

Cekat AI
Laporan Bisnis Otomatis
CRM

How to Get Automated Sales Activity Reports from Your CRM

Monday morning, a sales manager sits with their laptop open to the sales team WhatsApp group. Eight reps, 320 messages since Friday afternoon, mixed with screenshots of invoices, voice notes confirming deals, and “Boss, this prospect needs follow-up on Monday.” Two hours pass, and the manager is still trying to piece together team activity for

Cekat AI
How to Integrate Sales Order Software with Inventory So Data Stays in Sync
CRM

How to Integrate Sales Order Software with Inventory So Data Stays in Sync

A sales rep receives an order from a customer via WhatsApp: 500 units of product A and 200 units of product B. The sales rep creates a draft PO in the app and sends it to the customer for confirmation. The customer agrees and transfers a deposit. When the PO enters the warehouse, it turns

Cekat AI
How to Set Up Automated Reminders in Your CRM So Hot Prospects Do Not Slip Through
CRM

How to Set Up Automated Reminders in Your CRM So Hot Prospects Do Not Slip Through

A consulting business closed 3 deals from 20 hot prospects last month. Investigation revealed a pattern: 12 out of 17 non-closing prospects stopped because the sales rep forgot to follow up in the critical window (3-5 days after the proposal was sent). Not because the prospect refused, but because momentum was lost. This is the

Cekat AI
Cara Setting Sales Pipeline & Tahapan Deals CRM Tiap Industri
CRM

How to Manage a B2B Sales Pipeline with Long Cycles and Multi-Stakeholder Deals

A SaaS business signs a $200,000 enterprise contract with a bank. Sales cycle: 14 months. Stakeholders involved on the bank side: 11 people (CTO, Head of Digital, Procurement, Legal, Finance, two Security teams, three project sponsors). Meetings conducted: 34. Follow-up emails: 200+. Three sales reps rotated on the deal, two of whom resigned mid-cycle. Deals

Cekat AI
WhatsApp Sales