Lease Renewal & Negotiation for Retail Real Estate Brokers with Placer.ai

Placer.ai Retail Real Estate Broker Retail Tenant Rep

The Problem

Tenant renewals in Retail Tenant Rep portfolios approach without the landlord team noticing — and a non-renewing tenant is 18 months of lost NOI and leasing cost.

What We Build in Placer.ai

AI tracks renewals in CoStar, drafts a renewal proposal with market comps, schedules the tenant call, and escalates any non-response — renewal rate climbs and vacancy drops. Purpose-built for teams running Placer.ai — uses the native API or agent integration so nothing leaves the system of record.

Placer.ai Integration Approach

1

Audit your Placer.ai configuration

We map the specific Placer.ai objects, custom fields, and workflows the automation needs to touch for your retail tenant rep practice.

2

Build on the Placer.ai API or agent

Integration happens inside Placer.ai — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in Placer.ai with enough context to act — AI handles the 80%, your team owns the judgment calls.

See this running in your Placer.ai instance

30-minute call. We'll look at your actual Placer.ai setup and show exactly how this workflow fits.

More About This Workflow

Lease Renewal & Negotiation for Retail Real Estate Brokers

AI tracks renewals in CoStar, drafts a renewal proposal with market comps, schedules the tenant call, and escalates any non-response — renewal rate climbs and vacancy drops.

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