Your suppliers fail.
You find out four hours late.
Vektra finds out first.
An agent layer that ingests supplier, logistics, and market signals in real time, ranks resolution options by cost, lead time, and risk, and executes approved plans directly in your ERP.
Mid-market manufacturers
fly blind on disruption.
A single supplier shock — a tariff, a port delay, a liquidity flag — propagates through a mid-market P&L faster than a spreadsheet-driven ops team can respond. Enterprise control towers exist. They cost seven figures and take a year to deploy. Mid-market doesn't have either.
Global cost of supply chain disruptions, annualized
Average lag between a disruption event and operator awareness
Of mid-market ops teams still triage disruptions in spreadsheets
An agent loop, not a dashboard.
Ingest every signal that moves your P&L.
Financial filings, port dwell times, news, weather, tariff actions, and lead-time drift from your own PO history — continuously, per supplier.
Score what matters. Suppress what doesn't.
A reasoning layer scores each signal against your supplier graph, weights exposure, and only raises the alerts that would actually hit your ops floor.
Rank every option. Execute on approval.
Cost delta, lead-time impact, supplier risk — every alternative pre-ranked. One click, and Vektra writes the PO change to NetSuite, Dynamics, or SAP.
// Illustrative. Live data replaces this panel during a production pilot.
Click around.
This is the operator surface.
Overview, suppliers, shipments, purchase orders, inventory, disruptions, forecasts, signals, settings — every view your ops lead actually opens. Use the sidebar to switch tabs.
Command Center
// Illustrative data. Live tenant data replaces this surface during a production pilot.
The numbers already exist.
Mid-market doesn't have access yet.
The enterprise segment has been quietly running on AI-driven supply chain systems for a decade. The returns are documented. Vektra ports that architecture down-market.
$11.6B supply chain control tower market · 17% CAGR · mid-market is <8% penetrated
Logistics Cost
−25%
Typical logistics cost reduction from AI-driven supply chain management.
Industry benchmark
Forecast Error
−50%
Reduction in demand forecast error using ML modeling.
McKinsey
Avg ROI
171%
Benchmark ROI on supply chain AI for mid-market manufacturers.
SAP / McKinsey
Time To Live
30d
Vektra setup, vs. 6–12 months for a legacy ERP control tower.
Vektra target · industry range
What is your exposure
actually costing you?
Conservative model based on McKinsey, SAP, and Interos benchmarks for mid-market manufacturers. Adjust to your operation.
// Conservative model. Disruption cost: Interos mid-market benchmark, scaled to spend. Procurement: 60% addressable spend × complexity-adjusted rate. Carrying cost: SAP / Gartner (15% inventory ratio × 25% carrying × 20% forecast reduction). Forecast MAPE: McKinsey ML study. All three inputs drive all four outputs. Results vary by integration depth.
Connects to the ERP you
already paid for.
Vektra writes directly to NetSuite, Microsoft Dynamics 365, and SAP S/4HANA via native connectors. Thirty-day deployment. No re-platforming. No rip-and-replace.
Connects to your existing ERP in 30 days.
The next supplier
shock is already
in motion.
Vektra is in closed pilot with mid-market manufacturers. Request access and we'll respond within one business day.