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Retail OS

Ploti is the operating system for retail site-selection teams.

Ploti gives retail teams a custom site-selection OS for POI data, parcel discovery, ownership research, competitor activity, permits, and market-expansion decisions.

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Agent harness

Dedicated agents running
Maintain POI datasets for target trade areas
Monitor permits for competitor openings
Build parcel and owner lists near high-fit corridors

Plain-English request

Build the data layer our team needs to make better decisions.

How Retail OS works

Industry-specific agents for
the data your team needs.

Retail teams use Ploti to combine POI data, traffic, parcels, ownership, permits, competitors, and nearby demand drivers.

01 / Markets

Tell Ploti which trade areas and expansion markets matter.

Define the corridors, competitors, anchors, co-tenants, access requirements, and parcel criteria behind your rollout plan.

Market setup

Retail OS coverage

Target trade areas
Competitor and anchor sets
Access and visibility criteria

Trade-area criteria

POI data for competitors, anchors, co-tenants, and demand drivers

02 / Data layer

Agents build the POI and parcel layer behind retail expansion.

Ploti keeps POI data, competitor locations, traffic counts, access, frontage, ownership, zoning, permits, and openings current.

OpenClaw queue

POI data for competitors, anchors, co-tenants, and demand drivers

Authoritative sources

Extracting fields

Traffic counts, access, visibility, and parcel frontage

Public records + portals

Reading source

Parcel ownership, zoning, lease context, and entitlement constraints

Local monitoring

Maintaining index

03 / Custom requests

Ask for the exact POI or market signal your model needs.

A dedicated agent can maintain competitor sets, anchor tenants, permit activity, and parcel-owner lists for target trade areas.

Custom request

User request

Maintain POI data for our competitors, anchors, co-tenants, and demand drivers in each target trade area.

Dedicated agent created

Maintain POI datasets for target trade areas
Normalize fields
Monitor updates

04 / Answers

Use Retail OS to compare sites, gaps, competitors, and trade-area fit.

Ask where to open next, which parcels match your model, and what competitor or permit activity changed the market.

Front-end agent

Use Retail OS to compare sites, gaps, competitors, and trade-area fit.

Ask where to open next, which parcels match your model, and what competitor or permit activity changed the market.

Example questions

Where are we missing stores near our strongest POI demand drivers?
Which parcels have the best traffic, access, frontage, and competitor context?
What new permits or openings changed this trade area in the last 90 days?

Build the operating system for your data decisions.

Start with the counties, markets, and questions your team already cares about. Ploti agents handle the data work from there.

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