Matrix brings goods to the picker across wide SKU ranges and thin order lines, compressing pick cycles to 2–3 minutes and letting temporary staff contribute from their first hour. Now you can offer same-day or next-day delivery to more people with the same logistics model. No sacrifice to fulfilment window or order accuracy.
Traditional pick-to-tote operations spend a large fraction of picker time walking to locations across a wide floor. Matrix eliminates that travel. Every item comes to the picker, across any SKU range, in the sequence the AI engine determines will minimise presentation time for all concurrent orders.
Matrix holds a broad inventory and presents items directly at the pick station. Picker travel drops to near zero regardless of how wide the SKU range is or how unpredictable the order profile. The engine decides what to retrieve and when... continuously, without pre-planning.
Picking time is the main lever on fulfilment window and delivery radius. Reducing time from order release to pick-complete by even a few minutes expands the catchment area you can serve under an immediacy promise — without changing the logistics model.
Real-time inventory data at SKU level eliminates the substitution and rework that comes from stock discrepancies discovered mid-pick. Fewer failed picks, fewer customer service requests, fewer repeat deliveries.
Stock totes enter at goods-in, divert to a station to be picked, then peel off into Matrix to be held between picks before going round again. Order totes are filled and exit to dispatch. Everything stays in lane at one speed. Tap any area for detail.
Matrix delivers a 2–3 minute presentation time, regardless of order size.
The e-commerce ROI case combines order-cycle compression with labour efficiency, and both reinforce the commercial case. Faster picks widen the delivery radius under the same promise, and the same team dispatches more, so the labour cost of every order comes down.
Presentation time compresses to 2–3 minutes across all order sizes. Same-day and next-day promises become operationally reliable rather than aspirational — even during demand spikes.
Temporary staff added during seasonal peaks reach full productivity immediately. Fixed pick stations require no warehouse orientation, route learning or process training — they just pick.
Accurate inventory at the point of picking means fewer occasions where the system assigns stock that isn't where it should be. Accuracy improves without adding checking processes or headcount.
We'll model presentation time, picker count and order cycle improvement for your SKU range, order profile and fulfilment promise.