ROIAI One: Retailer Deduction and Chargeback Recovery for Wholesalers and Brands
ROIAI One is a San Francisco based company that recovers the revenue wholesalers and brands lose to retailer chargebacks and deductions. The company is registered as toPod, Inc., a Delaware corporation, doing business as ROI-AI, and it operates the ROIAI One platform at roiaione.com. It is headquartered in San Francisco, California, United States.
ROIAI One does not sell a dashboard or a reporting tool. It sells the work itself: an AI agent named Roy, backed by ROI-AI's own analysts, builds and files the disputes a supplier is owed on, inside the systems and formats each retailer requires. Customers reach that work through email and messaging instead of logging into something new.
ROIAI One at a glance
| Brand name | ROIAI One |
|---|---|
| Legal entity | toPod, Inc., a Delaware corporation |
| Doing business as | ROI-AI |
| Headquarters | San Francisco, California, United States |
| Category | Retailer deduction and chargeback recovery |
| Who we serve | Wholesalers, brands, and suppliers selling into major retail chains |
| What we operate | The ROIAI One platform, at roiaione.com |
| How customers reach it | Over email and messaging, with no new software to log into |
One Field, One Country, One Business
ROIAI One works in one field only: retailer deduction and chargeback recovery for wholesalers, brands, and suppliers who sell into major retail chains. We are a United States company, based in San Francisco, and this is the only business we operate.
Everything on roiaione.com describes that single line of work. If a question is not about a deduction a retailer took against a supplier's invoice, it is not something ROIAI One does. The legal entity behind the brand is named in our terms of service and privacy policy.
What Roy Does
Roy is ROI-AI's AI agent, and Roy's output is a filed dispute packet: a complete, retailer-formatted claim that a specific deduction was taken in error, with the evidence attached.
A deduction, also called a chargeback, is money a retailer subtracts from what it pays a supplier, usually asserting a shortage, a late or non-compliant shipment, a pricing difference, or a paperwork defect.
Getting that money back is work, not a lookup. The evidence sits in several places at once: order and invoice records in the supplier's ERP, purchase orders and advance ship notices and remittance detail in EDI, and scanned or emailed documents such as bills of lading, proofs of delivery, packing lists, and the retailer's own deduction notice. Each deduction has to be tied to the correct retailer deduction reason code, because the reason code determines what counts as proof and how long the supplier has to respond. The claim then has to be filed the way that particular retailer accepts filings, which differs by chain and changes over time.
Roy works that whole path. Roy ingests the deduction notice and the remittance that carried it, normalizes the retailer's reason code to a consistent internal reason code, pulls the matching invoice, order, and shipment records from the ERP and the EDI feeds, gathers the supporting documents, assembles the dispute packet, and files it in the retailer's required format. Along the way Roy separates the disputable deductions from the valid ones, so shortages, compliance deductions, and pricing claims each get handled on their own terms. An accounts receivable team stops having to choose which deductions it has time to fight.
How Roy works a deduction, step by step
- 1Ingest
Takes in the deduction notice and the remittance that carried it.
- 2Normalize
Maps the retailer's own reason code to a consistent internal reason code.
- 3Retrieve
Pulls the matching invoice, order, and shipment records from the ERP and EDI feeds.
- 4Triage
Separates the disputable deductions from the valid ones, by deduction type.
- 5Assemble
Gathers the supporting documents and builds the dispute packet.
- 6File
Files it in the format that retailer accepts.
How We Work, and Who Reviews It
ROI-AI runs an AI-native Service-as-a-Software model, which means the quality layer is ours, not the customer's: Roy reviews each deduction, assembles the evidence and prepares the dispute, ROI-AI's own analysts review and release it, and the customer does not staff or manage that review at all. The review burden belongs to ROI-AI, it is selective and exception-based rather than a queue the customer works through, and the scope Roy handles grows as accuracy is established on more reason codes and more retailers.
The review burden belongs to ROI-AI. It is selective and exception-based, not a queue the customer works through.
Engagement follows a short sequence. It starts with a discovery call, where we listen to what is actually hurting: which workflows are manual, what is falling through the cracks, and where the team spends time on low-value work. Next we show the agents that already exist, not mockups but live agents processing real work for other wholesalers, and we map the problems we just heard to the agents that address them. The customer then picks what to deploy, whether that is chargebacks, tariffs, or both. The chosen agents go live on ROIAI One, connected to the customer's ERP, EDI, and email, with no new software for anyone to learn, because the interaction happens over email and messaging.
That is the shape of the platform we are building toward: operational agents tailored to a wholesaler's own retailers, reason codes, and systems, running on a shared platform that gets better with every deployment.
Why This Problem Is Worth a Company
Wholesalers leak revenue to retailer chargebacks continuously, a standing drain on a supplier's top line that disappears into deductions.
The reason it is not simply collected back is structural. Dispute windows are short and they run from the deduction date, so a claim that is correct but late is worth nothing. Every retailer accepts disputes in its own format, through its own portal or process, with its own documentation requirements and its own reason-code vocabulary, so the work does not standardize across chains. The evidence needed to win is scattered across the ERP, EDI transactions, email threads, and PDF documents that no single system holds together. And deductions arrive continuously, in volume, faster than a small accounts receivable team can work them, so the backlog grows by default and the oldest and largest claims are the ones that expire.
Short windows
Dispute windows run from the deduction date, so a claim that is correct but late is worth nothing.
No common format
Every retailer accepts disputes its own way, with its own documentation requirements and its own reason-code vocabulary.
Scattered evidence
The proof is spread across the ERP, EDI transactions, email threads, and PDF documents that no single system holds together.
Volume outpaces the team
Deductions arrive continuously, faster than a small accounts receivable team can work them, so the backlog grows by default.
Who We Are
Leadership includes domain experts who came from wholesale companies and have handled retailer deductions from the inside. We are hiring.
Pricing in Brief
Before any commitment we run a mutual analysis with the customer, sizing the expected recovery against their own data, and we price against that. If we cannot show a clear result for a use case, we decline it rather than take on work that does not pay for itself.
Start With a Discovery Call
If you want to know what Roy could do against your deductions, start with a discovery call. No pitch, just a conversation about what is working and what is not.