Alitura Group
AI Modernization for Automotive Recycling Operators Losing Margin to Inconsistency
When pricing changes depending on who answers the phone, calls get missed during the day, and too many buying or quoting decisions still live in the owner's head, the yard is not just busy — it is leaking revenue.
Alitura Group helps established recycling operators build structure around those breakdowns so pricing becomes more consistent, missed opportunities get captured, and modernization actually supports the way the operation runs.
Wisconsin AI Story — Google Public Policy
Google selected Select Auto Parts & Sales to represent the state of Wisconsin in their AI Public Policy Stories series — one business chosen per state for how they are actually using AI inside a real operation. Read the full story on Google's website.
Most Revenue Leakage Starts Long Before Anyone Calls It a Systems Problem
Two employees quote or price the same vehicle differently, and margin gets lost in the gap.
Calls get missed during busy periods, and those missed calls turn into missed cars and missed revenue.
Junk car bids depend too much on who picked up the phone and how confident they felt that moment.
Buying, pricing, and workflow decisions rely too heavily on memory, instinct, and owner intervention.
The owner keeps getting pulled back into decisions the business should already know how to handle.
AI gets discussed, software gets added, but the operation still lacks structure underneath it.
This Work Was Built Inside a Real Automotive Recycling Operation
Alitura Group was not built from theory, consulting decks, or generic AI education. These systems were developed inside Select Auto Parts — a 125,000 sq ft indoor automotive recycling facility in Milwaukee — to solve real breakdowns in pricing, call handling, purchasing, inventory flow, and day-to-day execution.
The proof lives in the yard — not in a deck.
You are not bringing in someone to talk about AI in the abstract. You are working with an operator who built systems inside a live yard first, saw where implementation breaks down, and now designs modernization around the way real operations actually function.
Modernization Pathways for Yards That Need More Structure
Not every operation needs the same level of support. Some need architecture first. Some need rollout oversight. Some need an on-site operational review to see where the breakdowns really are.
AI Operations Architecture Intensive™
Start here when the operation has a clear pain point but no structured modernization plan. This engagement diagnoses the breakdown, defines the system, and maps how modernization should happen before money gets wasted building the wrong thing.
AI Implementation Oversight Sprint™
For yards already rolling out automation, AI tools, or vendor-built systems and needing structured oversight so the rollout does not create more friction, more inconsistency, or more owner dependency.
On-Site AI Modernization Audit™
For operators who need an in-person review of where revenue is leaking, where workflows break down, and where modernization should begin before more time, labor, or margin gets lost.
What Better-Structured Recycling Operations Actually Gain
Speaking & Industry Authority
Natasha speaks on operator-led AI modernization, execution consistency, and what actually works inside a live automotive recycling facility — grounded in real operating experience, not theory.