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AI & Automation

PrismaWMS has six engines that look at your live warehouse data and suggest improvements: which pick face to refill, which item to move to a better bin, what to reorder, which pick route is shortest, who has too much work, and what looks wrong. They are rules and statistics that run in PrismaWMS itself — no data is sent to an outside AI service for them. Every suggestion explains why, and nothing changes until a person accepts it. The WMS Copilot is different: it is a chat assistant that uses an outside language model to answer questions.

How suggestions are made​

The engines​

EngineWhat it looks atHow it decidesScreen
Replenishment Plannerpick faces, their min / max, reserve stock, demandthe min/max rule + a reorder point with safety stockCommand Center, Replenishment
Slotting Optimizer90 days of picks per item and binpick frequency + ABC classes → the best bin nearer to dispatchSlotting
Demand Forecastershipped quantities per daysimple exponential smoothing + moving average; accuracy measured by back-testingDemand Forecast
Pick-Path Optimizeropen pick tasks of each wavenearest-neighbour route + 2-opt improvementPick-Path
Labour Balanceropen tasks per worker, task timestampsworkers far above the crew averageLabour
Anomaly Detectorstock, expiry, receipts, counts, movements, order deadlinesrules + statistical outlier testsAnomaly Detection

The Model Center shows each engine, when it last ran, and how well its suggestions perform — measured from what users actually accepted or dismissed.

About "confidence"

The confidence shown on a suggestion is a fixed level set by the rule that produced it (a certain rule — for example "this pick face has 0 available" — is 100 %, other rules are high, medium or low). It is not a prediction accuracy. Quality numbers such as acceptance rate or forecast error appear in the Model Center only once there is enough real data; until then it says Not enough data.

Which screen for what?​

I want to …Screen
see all suggestions in one list and act on themAI Command Center
ask a question in plain languageWMS Copilot
put fast movers in the best binsSlotting Optimizer
see expected demand and what to reorderDemand Forecast
give pickers a shorter routePick-Path Optimizer
balance work between peopleLabour Optimizer
find and investigate things that look wrongAnomaly Detection
switch engines on/off, set thresholds, see the decision logModel Center