The Operational Problems Everyone Accepts. Finally Solved.
Parts data scattered across systems. Quotes that take days. Reactive planning built on spreadsheets. Engineering knowledge locked in PLM. Whether you manufacture, distribute, or both, the operational drag is the same. RAPFlow automates it without replacing your core systems, your processes, or your people.
Your Catalog Holds Revenue You've Never Seen. We Find It.
Parts data lives in ERPs, supplier sheets, legacy databases, and tribal knowledge. Duplicates go unnoticed. Cross-compatible parts are missed. Products you could sell sit undiscovered because no one has connected the dots across catalogs, specs, and competitor data. This isn't a data quality project. It's revenue sitting in the dark.
RAPFlow treats the catalog as an intelligence asset. It discovers sellable parts competitors don't know you can make, flags redundancies that inflate inventory cost, surfaces product gaps ranked by margin potential, and continuously governs data by matching, deduplicating, normalizing, and enriching records across every system. The intelligence stays clean as new data arrives.

Your Technicians Have the Skills. Now Give Them the Knowledge, Instantly.
A technician arrives on-site, diagnoses the issue, identifies the failed part, checks compatibility, finds availability, and acts. That workflow sounds simple. It isn't. The information needed at each step is siloed across PLM systems, service manuals, parts databases, and inventory platforms that don't talk to each other. The result is longer repair times, repeat visits, inconsistent decisions, under-utilized parts inventory, and revenue leakage.
RAPFlow puts a real-time decision layer in the technician's hands. It surfaces part recommendations, cross-compatible alternatives, and availability from connected PLM and inventory systems, guiding each step from diagnosis to resolution.
Every Claim Is Different. The Operation That Processes Them Shouldn't Be.
Dealer claims, warranty returns, channel deductions. Every one arrives in a different format, from a different portal, with a different exception type. Hundreds of micro-processes masquerading as one workflow. The back office processes them manually because no system handles the variation.
RAPFlow extracts claim data regardless of format, validates against contracts and entitlements, flags exceptions, and routes only true outliers to a person. The rest flows through. Processing cost drops, resolution accelerates, and the team handles volume without scaling headcount.

Your Quoting Speed Is Your Close Rate.
RFQs sit in inboxes while the quoting team manually looks up pricing across catalogs, ERPs, and spreadsheets. By the time the quote goes out, the deal is cold or the competitor already responded. The bottleneck isn't the team. It's the process between the RFQ arriving and the quote leaving.
RAPFlow automates the full cycle. RFQs are ingested, parts matched to catalog, pricing pulled from ERP, and quotes generated. A mid-size industrial distributor reduced quote turnaround from days to minutes, allowing the same team to handle 4x the volume.

Demand, Inventory, Routes, and Loads. Optimized Together, Not in Silos.
Demand forecasting lives in one spreadsheet. Inventory allocation in another. Route planning in a third. Each function optimizes independently, which means none of them are actually optimized. Trucks run half-empty. Stock piles up in some warehouses and runs dry in others. Forecasts are stale before they're published. The problem isn't any single function. It's that they've never been connected.
RAPFlow unifies demand signals, supply constraints, inventory positions, and logistics into one continuous optimization. Network-level decisions happen in minutes, not weekly planning meetings. Demand, inventory, and route optimization run as a single flow, not three separate problems.

The Specs, Tolerances, and BOMs Everyone Needs. Accessible Without Asking Engineering.
Sales needs material specs to quote. Procurement needs dimensions to source. Service needs tolerances to troubleshoot. Planning needs BOMs to forecast. All of it lives in PLM, buried in CAD files, or accessible only through engineers who are already overloaded. Every department depends on engineering data. Almost none of them can get to it without filing a request and waiting.
RAPFlow extracts and infers structured intelligence from PLM exports, CAD metadata, STEP files, and engineering drawings. It makes that information searchable and queryable in plain language by any team, with inferred detail that goes deeper than standard PLM search. No PLM licenses. No engineering dependency. The data is just there when the function needs it.
Every Supplier Bid Evaluated on What Actually Matters. Automatically.
Supplier quotes arrive as PDFs, emails, and portal exports. Comparing them means manual extraction, reformatting into spreadsheets, and a decision that's usually made on price alone because there isn't time to evaluate quality, lead time, and compliance together. Procurement teams aren't making bad decisions. They're making incomplete ones because the process doesn't give them what they need fast enough.
RAPFlow automates the entire intake-to-decision workflow. Quotes are extracted, normalized, scored, and ranked across price, quality, lead time, and compliance. Every evaluation is consistent, auditable, and complete. The procurement team reviews a ranked recommendation, not a pile of documents.
The Stuff That Usually Kills AI Projects. Solved.
Every decision the AI makes is visible. Nothing runs unchecked.
Your data stays on your servers. Nobody else sees it.
Runs on your existing systems. No migration. Nothing to replace.
Live in production in weeks. Not a 12-month project.
Start With the One Operation Slowing You Down Most.
Pick a function. See automation on your data and your workflow.
