Case Study

Invenboost: Turning Foot Traffic Into Reviews, Repeat Visits, and Revenue

How we used AI, technology, and inventory optimization to help a three-location novelty retailer in DFW run its stores like one business, take inventory from 80 hours of post-it notes and wholesaler runs down to one shared list, and grow into a $1M revenue operation.

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Invenboost: Turning Foot Traffic Into Reviews, Repeat Visits, and Revenue

About

The Challenge

Our client is a veteran-owned novelty retailer that has been in business since 2015 and runs three stores across the Dallas-Fort Worth area. Busy stores, loyal customers, staff who know the regulars by name. Behind the counter, though, the operation ran on memory. Out-of-stocks got written on post-it notes, the owners drove to the wholesaler, and something always got forgotten, which meant a second trip. Inventory alone was eating about 80 hours. Customers asked for products nobody wrote down, and the online reviews never caught up to how good the stores actually were.

The tools to fix this existed. The workflow to make them stick, for hourly associates with no software background, did not.

Services

Client

Novelty Retailer

Veteran-owned independent retailer with three DFW locations, in business since 2015.

Product

Invenboost

Employee requests, customer wishlist, Invenlist inventory hub, Invenboost AI, and in-store QR codes for reviews.

Users

Owners & Staff

Two owners and hourly associates with no prior software experience, running it across every shift.

Outcome

$1M Revenue Operation

Inventory cut from 80 hours of manual work to one shared list, plus 1,000+ Google reviews at 4.9 to 5.0 stars across two locations.

"Inventory used to be post-it notes and driving back for what we forgot. Now I walk into the wholesaler with one list."

Omar, Co-Owner, Novelty Retailer (DFW)

Our Approach

Invenboost became the proving ground for the approach RezumeAI now brings to HR teams.

Phase 1

Readiness

Mapped how inventory really moved, from the shelf to the post-it to the wholesaler, and where it broke.

Restock and wholesaler-run workflow documentation
Owner and associate interviews across all three stores
Highest-impact fixes prioritized

Phase 2

Zero-Gap

Designed employee requests, the customer wishlist, and Invenlist to fit how staff already worked.

Employee Requests from the floor instead of post-it notes
Customer Wishlist and counter QR codes for reviews
Invenlist: one shared list with priority, quantity, and days open

Phase 3

Power Users & Impact

Trained staff to own the system, added Invenboost AI, and tracked what moved.

Role-based onboarding for owners and associates
Invenboost AI for reorder timing and supply-list suggestions
Inventory hours, open requests, and review velocity tracked per store

Result

Process First, Then the Product

(858) 324-6193

info@rezumeai.com

We started on the store floor, not in a codebase: how an out-of-stock actually got noticed, who wrote it down, and what happened between the shelf and the wholesaler. Then we built Invenboost around that.

Employee Requests replaced the post-it notes. Staff log what is running low from the floor, and it lands in Invenlist, one central list with priority, quantity, who asked, and how long it has been open. The Customer Wishlist lets shoppers tell the store what they want carried, so buying decisions come from real demand instead of guesswork. Invenboost AI sits on top of all of it to flag what to reorder and when. A QR code at the counter makes leaving a Google review a ten-second act. And the whole thing was designed so a store manager could run it without training.

The results showed up fast. Inventory went from about 80 hours of writing, driving, and forgetting to a single list the owners walk into the wholesaler with. The second trip back for forgotten items is gone. With operations under control, the business grew into a $1M revenue operation. And the stores' reputation finally caught up online: as of September 2026, the two flagship locations hold 4.9 and 5.0 star ratings on more than 1,000 combined Google reviews.