warego.app

Warehouse operations in a single app — picking, putaway and slotting that work on the floor and on the phone.

A reference on handheld warehouse operations — the daily flows of picking, putaway, slotting, cycle counting and wave management that frame the floor.

warego.app covers warehouse operations from the perspective of the operator carrying the scanner — picking, putaway, slotting moves, cycle counting and wave management as actually executed on the floor. The angle is the handheld experience above an existing warehouse management system, rather than the WMS itself, because the interaction layer is where most operational frustration actually lives.

A meaningful share of medium-sized warehouses run on legacy WMS systems whose own handheld experiences are functional but unloved. The system of record is fine; the handheld interface is what slows the operator down, generates exception flows, and trains the workforce in workarounds. Meanwhile consumer-grade Android scanners have approached the durability, battery life and screen quality of dedicated ruggedised devices for most mid-volume operations. The vocabulary the handheld has to handle correctly — pick paths constructed from wave plans, putaway decisions that respect velocity classification, cycle counts scheduled against accuracy targets — is well-defined and shared across systems of record.

The glossary above sets out the operational vocabulary — pick path, putaway, slotting, cycle count, wave planning — at the level an operations manager and a software vendor have to share. Each term has a labour-cost, accuracy and throughput meaning in warehouse work that the page makes explicit. Readers approaching this topic from an operations, integration or WMS-product background will find the terms here line up with how warehouse engineers and WMS vendors actually use them.

Key terms

Pick path

The ordered sequence of bin locations a picker visits to fulfil a wave of orders.

How An optimiser takes the open order set, applies a routing heuristic over the warehouse layout, and emits an instruction list where each step combines a bin, an SKU and a quantity.

Why Travel time is the dominant cost in unit-pick warehouses, so pick-path quality directly drives both labour cost and throughput ceiling.

Putaway

The process of moving received inbound inventory from the receiving dock to a stocking location.

How Receiving generates labelled units, a rule set or operator selects a stocking location based on velocity, hazard and dimension, and an exception flow handles bin overflows or velocity reclassification.

Why Putaway is the most under-instrumented warehouse process in many sites and is usually where slotting decay starts, which is why a handheld product that captures putaway intent well has outsized value.

Slotting

The discipline of assigning SKUs to bin locations to minimise picker travel and ergonomic risk while respecting hazard and compatibility constraints.

How Historical order data is analysed for SKU velocity and affinity, candidate placements are scored against an objective, and the resulting slotting plan is implemented through reslotting moves over time.

Why Slotting and pick path together set the throughput ceiling of any warehouse, and slotting decays measurably between deliberate re-slotting projects.

Cycle count

A continuous inventory verification practice in which small subsets of SKUs are counted on a rolling schedule rather than the whole warehouse at once.

How A scheduling rule selects SKUs by velocity, value or last-counted date, an operator visits each location and verifies the on-hand quantity, and discrepancies feed an exception workflow.

Why Cycle counting catches inventory drift early enough to correct without disrupting customer fulfilment and is a more reliable accuracy mechanism than annual full counts.

Wave planning

The grouping of customer orders into release batches optimised for downstream pick, pack and ship constraints.

How Open orders are filtered by carrier cutoff and priority, a planner groups them by shared aisles or zones, and waves are released with an expected completion time and resource assignment.

Why Wave size and composition trade off picker productivity against order ageing, and a handheld product that respects wave boundaries integrates more cleanly into existing operations.

Frequently asked

What is warego.app?

warego.app is the topic surface for handheld warehouse operations — picking, putaway, slotting moves, cycle counting and wave management as they are actually executed by an operator with a scanner on the floor.

What is a pick path and why does it matter so much?

A pick path is the ordered sequence of bin locations a picker visits to fulfil a wave of orders. In unit-pick warehouses travel time dominates labour cost, so the choice of routing heuristic — S-shape, largest-gap, or a more sophisticated optimiser — directly drives both productivity and the daily throughput ceiling. It is usually the highest-leverage operational variable in the building.

How is warehouse slotting decided?

Slotting analyses historical order data for SKU velocity (how often each SKU is picked) and affinity (which SKUs ship together), then scores candidate bin placements against an objective that combines pick-travel reduction, ergonomic load and hazard compatibility. The resulting slotting plan is implemented through reslotting moves over time, because warehouses cannot afford to reorganise themselves all at once.

How can I get in touch about warego.app?

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