FlowAI nečeká na stížnosti. Monitoruje datové vzorce napříč celou vaší operací — neobvyklé nárůsty vratek, zpoždění přepravců, anomálie zásob — a spustí alarm dříve, než se věci vyhrotí.
A single return is normal. Fifteen returns of the same article with the same reason are a signal. FlowAI connects individual data points across orders, returns, carriers, and customers to detect patterns that no human operator would notice until it is too late. It monitors return reasons, groups them by SKU, by customer, by warehouse — and identifies when something deviates from the baseline.
The system builds statistical baselines for every metric in your operation. When a data point crosses a configurable threshold — whether it is a return rate, a complaint frequency, or a delivery time — FlowAI flags it with context. Not just "something is wrong," but "here is what changed, here is when it started, and here is what it might mean." Pattern detection turns reactive firefighting into proactive quality management.
Real-time carrier performance monitoring across every delivery. FlowAI tracks delay rates, successful delivery rates, regional performance differences, and trend direction for every carrier in your network. When a carrier's delay rate crosses your configured threshold — or starts trending in the wrong direction — FlowAI raises the alarm before the complaints start rolling in.
The carrier scorecard gives operations managers a single view of all active carriers with their current performance metrics, threshold markers, and trend arrows. A carrier performing at 96% on-time nationally might be struggling in a specific region — FlowAI detects these regional anomalies and surfaces them with context. You see not just the number, but the trajectory: is this getting better or worse? Is it a blip or a pattern? That distinction determines whether you need to send an email or switch to an alternative carrier.
| Carrier | On-Time Rate | Trend | Status |
|---|---|---|---|
| DHL |
96.2%
|
Stable | OK |
| DPD |
77.0%
|
+23% delays | Alert |
| GLS |
89.4%
|
Improving | Watch |
FlowAI analyzes sales trends, seasonal patterns, and current stock levels to predict when inventory becomes critical — before the last item is sold. For every top-selling SKU, it calculates a projected depletion date based on actual consumption velocity, not just static reorder points. When the forecast crosses your safety threshold, FlowAI generates a reorder suggestion with the recommended quantity and deadline.
The inventory timeline visualizes your stock trajectory: current levels, the consumption trend line, the projected forecast, and the reorder point — all in one view. You see exactly when stock will hit zero if no action is taken, and exactly when you need to place the reorder to avoid a gap. For 3PLs managing inventory for dozens of clients, this transforms stock management from a reactive scramble into a planned process with clear visibility and early warnings.
Podívejte se, jak systém včasného varování FlowAI pomáhá 3PL firmám detekovat anomálie, monitorovat výkon přepravců a předcházet vyprodání zásob — dříve než to ovlivní vaše zákazníky.