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Apolla AI
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Sales assistant

Prepares customer background and interaction history before a visit, writes the follow-up notes and updates the CRM afterwards, so sales reps spend their time with customers.

Sample input and output

Sample input

I am visiting the procurement director of an auto parts customer in East China tomorrow. Help me prepare.

Sample output

One-page briefing: 3 orders totaling RMB 4.8 million in the past 12 months, the delivery lead-time issue raised in the last conversation, 2 recent news items on capacity expansion at the customer’s parent group, and 3 suggested discussion topics.

Details

Sales reps spend over 30% of their week preparing materials and filling in the CRM. This template compiles public information, order history and communication records into a briefing before a visit, then extracts needs, objections and next steps from voice or written notes afterwards and writes them back to the CRM.

It also answers the technical and pricing questions reps face on site from the product data library, with sources attached, so verbal commitments stay consistent with the facts.

  • Automatic pre-visit customer briefing
  • Post-visit notes structured and written back to the CRM
  • On-site product and pricing Q&A
  • Follow-up reminders and deal stage suggestions

How close is this template to your use case?

Most customers go live after changing 20–40% of a template. Book a workshop and we will assess it together.