Prompt

round robin scheduling api sales team

Technology / Scheduling & Booking Software1 observationLast seen Oct 15, 2026

Latest observation

Oct 15, 2026OpenAI APIWeb search: off

Here’s a simple way to think about a round-robin scheduling API for a sales team:

What it should do

Distribute incoming leads, meetings, or tasks evenly across sales reps, in order.

Example:

  • Lead 1 → Alice
  • Lead 2 → Bob
  • Lead 3 → Carol
  • Lead 4 → Alice again

Core API features

1. Create a round-robin pool

A pool is a group of sales reps.

POST /round-robin/pools

{
  "name": "SDR Team A",
  "members": [
    {"user_id": "u1"},
    {"user_id": "u2"},
    {"user_id": "u3"}
  ]
}

2. Assign the next rep

When a new lead comes in, call the API to get the next assigned rep.

POST /round-robin/pools/{pool_id}/assign

{
  "lead_id": "lead_123"
}

Response

{
  "lead_id": "lead_123",
  "assigned_user_id": "u2",
  "assigned_user_name": "Bob"
}

3. Update membership

Add/remove reps from the rotation.

PATCH /round-robin/pools/{pool_id}

{
  "add_members": ["u4"],
  "remove_members": ["u2"]
}

4. Get assignment history

Useful for auditing.

GET /round-robin/pools/{pool_id}/history

[
  {
    "lead_id": "lead_123",
    "assigned_user_id": "u2",
    "assigned_at": "2026-10-15T12:00:00Z"
  }
]

Important design considerations

Fairness

  • Rotate in strict order
  • Skip inactive/out-of-office reps
  • Optionally weight some reps more heavily

Concurrency

Two leads can come in at the same time, so the assignment must be atomic.

  • Use a DB lock, transaction, or Redis counter

Availability rules

Support logic like:

  • On vacation → skip
  • Not available → skip
  • Max daily quota reached → skip

Routing options

You may want to support:

  • strict rotation
  • weighted round robin
  • sticky routing (same lead always goes to same rep)
  • territory-based routing combined with round robin

Minimal data model

round_robin_pools

  • id
  • name
  • created_at

pool_members

  • pool_id
  • user_id
  • position
  • active
  • weight

assignments

  • id
  • pool_id
  • lead_id
  • user_id
  • assigned_at

pool_state

  • pool_id
  • last_assigned_member_id or last_index

Example assignment logic

  1. Load active members
  2. Find the member after the last assigned one
  3. If at the end, wrap to the start
  4. Skip unavailable members
  5. Save assignment atomically

If you want, I can also provide:

  1. a REST API spec
  2. a database schema
  3. a Python/Node.js implementation
  4. a Salesforce/HubSpot-style lead routing design

If you want, I can generate a full OpenAPI spec for this API.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.

round robin scheduling api sales team — Obsurfable Explorer