Receiving & Intake Automation
DockSnap: From blind receiving to 30-second AI identification
Photograph a unit once, and AI identifies it, prices it and builds the product record — cutting labor cost 81% on a 2,000-unit truckload.
Case studies
Real problems. Real numbers.
Every case study here comes from prior operating experience led by Built-N-AI founder Casey Jackson. No invented metrics — company identities are omitted where required.
Digital Warehouse Execution
From paper pick tickets to real-time digital execution
A fully paperless, wave-picking workflow with live order visibility, eliminating nearly $2,000/month in losses from cancelled orders that shipped anyway.
Inventory Accuracy & Reconciliation
From manual cycle counts to real-time reconciliation
A barcode scan replaces the manual list — the system automatically identifies missing and mislocated inventory and reconciles the bin.
Receiving & Intake Automation
From one-by-one barcode entry to single-touch bulk receiving
Removing one repeated motion from receiving cut a 500-line PO from 4 hours to 1, and labor cost 75%.
AI Product Data & Marketplace Automation
300,000 parts, 9 days, 98% accuracy
A backlog no one could justify staffing for manually, solved by an AI tool that keeps running on every new part.
Restaurant Technology
From pitch to production in 4 months: Subway’s self-service kiosk
A self-service ordering and payment kiosk that went from executive pitch to live restaurants in four months — 15–20% larger orders, ~40 fewer labor hours per week, 24-week ROI.
Entrepreneurship & Operations
From $15,000 to $40 million: building Computer Parts Unlimited
Founder-funded, profitable in month three, four sites in the U.S. and Canada, SAP ERP and barcode inventory, two Inc. 500 appearances and a strategic exit.
Enterprise Digital Transformation
From digital strategy to $50M: extended warranties across Amazon, eBay and retail
An automated pricing engine running up to 10,000 price changes per hour helped an Amazon launch reach ~$20M in year one and ~$50M combined after year one.
Start with a conversation
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Let’s spend 30 minutes looking for the first problem worth solving.