Case Study

Inventory Data Operations

We build inventory systems that give operations and sales teams one dependable source of truth for location-based assets. The backend owns status, geography, pricing, filters, and live discovery so teams stop working from disconnected spreadsheets and manually updated pages.

1
Inventory backend
Live
Status filters
Map + Grid
Surface layer
Week 1
First workflow live
The Work

A live operational layer for inventory that moves by place, status, and availability.

Geospatial inventory records

Availability and status logic

Live map and grid synchronization

Search-ready filtering for commercial teams

Admin editing with immediate downstream effect

Reusable backend for sales and operations

Under The Hood
Supabase / Postgres backend

Structured inventory records with status, location metadata, pricing, imagery, and operational notes.

Geospatial discovery layer

Map and grid views driven from the same record set so territory views and sales inventory never drift apart.

Status-aware querying

Availability, booked, inactive, and format-specific states power live filtering without manual intervention.

Operational admin workflow

Internal edits become live inventory updates instead of requiring a separate content pass to reflect reality.

Working Demo

One inventory engine, multiple operational contexts.

Live Inventory MapInventory case study

A media operator needs one backend for location-based inventory, asset status, daily impressions, pricing, and a live map that sales can trust.

Incoming source
asset_code: PHX-102
format: digital
status: available
location: I-10 / Downtown corridor
daily_impressions: 182000
monthly_price_cents: 850000
Operational record
normalized asset with geospatial coordinates
status-aware map marker and inventory row
searchable by format, availability, and location
impression and pricing metrics ready for sales use
admin edits flow back into the live view immediately
Automations Triggered

Availability filters update the live map and inventory view from the same backend record.

Status changes flow into sales-facing inventory without manual page edits.

Asset data becomes queryable for pricing, planning, and territory review.

For an ops-heavy team

The win is not just a cleaner frontend. The win is that pricing, location visibility, and availability all become operationally trustworthy across the business.

What it replaces
  • Static inventory pages that drift away from real availability
  • Sales teams quoting from old spreadsheets or stale exports
  • Map views and list views powered by different datasets
  • Admin updates that need manual web edits to become visible
Outcome

One backend for asset truth, one filterable operational inventory, and one live discovery surface that commercial teams can actually use with confidence.

Reference Architecture

Structured like operations infrastructure, not a content page.

The best version of this system is one where status, territory, asset metadata, and pricing are owned by the backend first. Once that is true, maps, search, admin workflows, and sales visibility become much easier to extend.

Canonical Asset Schema

Every unit, site, or location lands in one normalized inventory model instead of being split across admin habits and source-specific formats.

Status Logic

Availability, booked, inactive, and format-specific states drive both internal operations and what the customer-facing system exposes.

Live Discovery Layer

Map views, inventory grids, and search filters are all powered from the same operational backend, not duplicated pages.

Admin Control Surface

Updates to price, location notes, imagery, and status flow back into live inventory without rebuilding the whole presentation layer.

Ingest

Capture asset records from admin entry, spreadsheets, imports, or upstream operational systems.

Normalize

Standardize status, geospatial fields, pricing, descriptive metadata, and inventory attributes into one schema.

Filter

Make inventory queryable by availability, format, territory, and operational attributes in real time.

Surface

Publish the same data into live maps, searchable grids, and internal review views without duplicating the source of truth.

For Your Team

Start with one live inventory surface, then extend into the wider operating layer.

We would usually begin with the highest-friction use case first: a live map, an inventory grid, or a sales-facing availability view. Once the schema and status logic are stable, additional workflows become much easier to layer on.

The immediate gain is fewer inventory mistakes. The bigger gain is a backend the business can use across pricing, territory management, availability, and operational visibility.

Delivery Shape
Week one

A working inventory dataset connected to live status filters and one searchable discovery surface.

Sprint two

Admin controls, pricing logic, and operational notes wired into the same inventory backend.

After that

Additional views, reporting, forecasting, and downstream commercial workflows layered on top of the same system.

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