Purchase Intelligence for Parts Buyers
Stop guessing your next PO. Let the data write it.
Buying too much locks up cash; buying too little loses the sale. We build a purchasing brain that blends your demand history, seasonality, and coverage gaps into concrete buy recommendations, quantities included. You tell us the constraints; our AI does the math you'd need a full analytics team to do by hand.
Who it's for: Buyers and category managers who want defensible, data-backed purchase orders instead of best-guess reorders.
Problems we solve
If any of these sound like your day, there's software that fixes it.
Reorder points are static and ignore seasonality and demand shifts
Buyers overstock hero SKUs and stock out on quiet, profitable movers
Vendor minimums and lead times push decisions off gut instead of data
Coverage gaps go unfilled because no one connects buying to fitment demand
Cash gets trapped in slow inventory that should never have been reordered
What we build
Concrete deliverables, shaped to how your business actually runs.
Demand forecasting per SKU and category that adjusts for seasonality and trend
Buy-quantity recommendations that respect lead times, MOQs, and turn targets
Coverage-gap buys tied to fitment and vehicle demand in your markets
Reorder alerts that fire before you stock out, not after
Vendor and line-level views so you can consolidate POs and hit break points
An approve-or-edit buying worksheet your team actually uses each cycle
AutoBuffy's 3.88M-SKU catalog means real demand-and-seasonality modeling is our norm
We deliver AI category and buying intelligence to live distributor accounts
Westar EDI experience means we handle PO and vendor data end to end
Questions we get asked
Straight answers. If yours isn't here, ask us below.
Will this recommend quantities or just flag what's low?
Both. We flag what needs buying and recommend how much, factoring in seasonality, lead time, vendor minimums, and your turn targets. You approve or adjust before anything is ordered.
How does seasonality get handled for automotive parts?
We learn each SKU's demand curve from your history, including seasonal spikes like batteries, wipers, or A/C parts, and adjust buy timing and quantity accordingly.
Can it connect buying to coverage gaps?
Yes. When a fitment or vehicle-coverage gap overlaps with real demand in your market, we surface it as a buy opportunity, not just a catalog note.
Does it work with our vendors and EDI?
We built and run EDI integrations, so pulling PO, vendor, and lead-time data into the recommendations is well within scope.
How do we start without a huge commitment?
Fixed-price, starting with a Starter scope on one category or vendor. We prove the buy recommendations before you scale it across the catalog.
Tell us the problem
Describe what's slowing you down. We'll tell you — free — whether software can fix it, roughly what it takes, and what it saves you.
Give us your sales history and we'll draft your next PO with quantities you can defend.
Tell us the problem, we'll figure out the technology. No 40-page spec, no discovery retainer — just a fast, honest conversation about what to build.
Tell us the problem