About
Decision intelligence
for wholesale apparel.
What we are building
PNSIQ exists to solve a specific problem: wholesale apparel brands lose recoverable revenue every season through gaps that are visible in their own data and invisible to the people who need to act on them. The deductions that go uncontested. The inventory that ages past its recovery value. The accounts that go silent and never come back. Every one of these has a window. Every window has a deadline. No system has existed to surface them at the moment the window is still open.
We are building that system. Not a reporting tool, not a dashboard, not another layer of visibility. A platform that closes the loop from data to decision — producing the specific action required to recover each dollar before the window closes.
Why now
The wholesale apparel industry has operated on relationships, experience, and handshakes for decades. The founder who built a brand over 30 years knows the accounts, knows the reps, and trusts their instincts. Over 50% of U.S. business owners are currently 55 or older. That generation built something real.
Their children are now running these businesses or preparing to. They are in their late 30s and 40s. They grew up with the internet, manage on social media, and have spent time with ChatGPT. They understand what technology can do because they have used it. Research shows that 73% of next-generation family business leaders view AI as a powerful force for transformation — but only 7% of family firms have implemented it in any meaningful way. The gap between awareness and execution is where PNSIQ operates.
Millennials and Gen Z now represent 71% of B2B buyers, with 94% having integrated AI into their purchasing process. The generation after the current next-gen will not need to be convinced at all — they will expect this. The industry is at the inflection point. The people inheriting these businesses have the digital literacy to see what is possible and the business experience to know what the losses cost. That is the adoption window.
The technology category
Decision Intelligence is a recognized discipline, defined and tracked by Gartner as a top strategic trend since 2019. It is the fourth position on the analytics ladder — above descriptive, predictive, and prescriptive — and it describes a system whose job is not finished until the decision is made.
Before a single output reaches your team, our technology has processed the full dataset across every loss vector simultaneously, run the simulations, calculated the probability of every outcome, and compressed that analysis into the one action with the highest probability of working at the moment it can still work. The math and the science are not visible. That is the point.
The patterns in your order book are not unique to you. They are predictable across every brand in the market. You cannot see them from inside your own data. We can. That cross-brand signal library is what makes the probability numbers real — a single brand does not have enough history with any given retailer to compute a dispute approval rate. Across the full dataset, the distribution is precise.
What we identified
The US clothing and accessories wholesaling sector comprises 35,384 businesses generating $129.3 billion annually. Across that market, we identified three loss vectors that recur systematically and remain unaddressed by the software brands currently use. Individual brands cannot see these patterns from inside their own data. The same three gaps appear at the same points in the season, across brands of different sizes, at a rate that makes the losses predictable and, within specific windows, recoverable.
Chargeback deductions
Retailers deduct 2–10% of supplier revenue through chargeback programs. Between 5% and 15% of all wholesale invoices are affected, representing 4–10% of open accounts receivable at any point in time. Each retailer sets its own dispute window, ranging from 30 days to 6 months depending on the account, after which the deduction is permanent. The majority of disputable chargebacks go uncontested not because they are indefensible, but because the window closes before anyone acts.
Dead inventory
Approximately 30% of fashion inventory goes unsold. Inventory not moved within 12 months is classified as dead stock across the industry. The recoverable value drops sharply as time passes. Liquidation networks, outlet channels, and direct clearance carry different recovery rates, and the highest-value channels require lead time to access. The data that would flag at-risk inventory at week four exists in every brand's ERP. It is not being read on that timeline.
Account attrition
Research across B2B relationships shows that 70–80% of accounts that ultimately churn display identifiable risk signals 30 or more days before the loss becomes permanent. Win-back success rates fall to 10–30% depending on how much time has elapsed. Wholesale brands managing 200–600 retail accounts do not have a system that monitors account engagement at the individual account level and flags the signal while the window is still open.
What existing platforms address
The established wholesale B2B platforms provide digital order management: buyers browse inventory, place orders, and brands manage the wholesale channel digitally. The most recent additions include trend analytics, providing visibility into top-performing products, categories, and size curves. These platforms address the transaction layer of wholesale.
None produce recovery actions for open chargeback windows. None monitor account engagement signals and generate re-engagement sequences before the attrition window closes. None flag aging inventory against recovery channel options before the highest-value channels are no longer accessible. They stop where the work begins.
What we produce
For each loss vector, PNSIQ produces a specific drafted action addressed to the relevant person before the recovery window closes. No analysis step is required. Each output arrives ready to approve, modify, or reject. Every recoverable dollar in your business has a window. We find it before it closes.