Project Story · Storage / self-storage
Storage Space Search and Reservation Experience
A large storage-space company managing inventory across multiple warehouses, cities, and states needed customers to quickly find available facilities with the right size, the right features (like climate control), and the right price, without landing on irrelevant inventory.
Engagement snapshot
- Industry
- Storage / self-storage
- Work performed
- Improved storage-search interfaces organized inventory by city and state, built location-specific experiences, added unit-size selection guidance, clarified climate-control and other facility features, improved product and price comparison, directed visitors to the most relevant available inventory, and reduced friction between search, selection, and reservation.
- Capabilities
- Conversion Optimization, Personalization, Ecommerce Optimization
Business context
Storage / self-storage · Enterprise.
The business problem
Product Discovery
A large storage-space company managing inventory across multiple warehouses, cities, and states needed customers to quickly find available facilities with the right size, the right features (like climate control), and the right price, without landing on irrelevant inventory.
The decision we made
Narrow a Large Inventory to What's Actually Relevant
Directing visitors to the most relevant available inventory and reducing friction between search, selection, and reservation
What changed
Improved storage-search interfaces organized inventory by city and state, built location-specific experiences, added unit-size selection guidance, clarified climate-control and other facility features, improved product and price comparison, directed visitors to the most relevant available inventory, and reduced friction between search, selection, and reservation.
Observed outcome
Directing visitors to the most relevant available inventory and reducing friction between search, selection, and reservation
What this teaches
When inventory is large and geographically distributed, the fix isn't more inventory visibility: it's narrowing what a visitor sees to the location, size, and feature combination that's actually relevant to them, before they compare price.
How we would apply AI today
Today, AI would accelerate the conversion optimization work behind this engagement: synthesizing evidence about the product discovery pattern faster, drafting audience-specific page and message variants for review, and learning from what visitors actually do so the next iteration is better-informed. Expert judgment still decides what to test and what the evidence actually means; AI speeds up the work, it doesn't replace the decision.
Who this fits
This approach is useful when:
- Businesses with large, geographically distributed inventory (multiple locations, warehouses, or facilities) where visitors can easily land on irrelevant options
- Businesses where customers must weigh several attributes at once (location, size/capacity, features, price) to find the right option
- Businesses whose conversion path runs from search through selection to a reservation or booking step