Skip to content
WareBee

WMS Integrations

Connect SAP Extended Warehouse Management (EWM) to WareBee.

SAP · Enterprise · Cloud / On-premise · HQ: Germany · Since 1972

SAP EWM is the warehouse backbone for many manufacturing and retail groups running SAP, embedded in S/4HANA or deployed decentralised for high-throughput sites.

Warehouse task, handling-unit and bin data comes out via standard SAP extracts, CDS views or middleware — no custom development needed on the SAP side.

How the connection works.

  1. 1

    Get the data out

    Connect via REST API, scheduled exports, or a one-off CSV — whatever SAP Extended Warehouse Management (EWM) supports in your setup. No changes to your WMS configuration.

  2. 2

    WareBee builds the twin

    The Universal WMS API maps your feeds onto the five core data types below and builds a live 3D digital twin of your warehouse.

  3. 3

    Optimise and execute

    Analyse performance, simulate changes, and send approved recommendations — slotting, batching, labour plans — back to SAP Extended Warehouse Management (EWM) for execution.

What data WareBee reads.

Five data types cover everything the twin needs. SAP Extended Warehouse Management (EWM) already produces all of them.

  • Events

    Picking, replenishment and putaway events with timestamps, users, locations and quantities.

  • Orders & picklists

    Order lines, dates, quantities and routing metadata — waves, docks, priorities.

  • Items

    SKU master data: dimensions, weight, unit-of-measure hierarchy, groups and stackability.

  • Inventory & assignments

    Which SKU sits where, and in what quantity — the twin’s current state.

  • Locations

    Aisles, bays, levels and positions with dimensions — the physical map of your warehouse.

Products & editions.

WareBee works with every edition below — the Universal WMS API only cares about the data, not the version.

  • Embedded EWM (S/4HANA)

    Runs inside S/4HANA — basic and advanced scopes.

  • Decentralised EWM

    Standalone deployment for high-volume sites, connected to one or more ERPs.

  • SAP EWM in S/4HANA Cloud

    The public-cloud edition.

Example data mapping.

A warehouse-task extract (e.g. from a CDS view or /SCWM tables via your BI layer) mapped onto WareBee’s Events feed.

warehouse_task,process_cat,created_at,confirmed_at,user,source_bin,dest_bin,product,quantity
2000481123,PICK,2026-05-04T08:11:40Z,2026-05-04T08:12:41Z,JSMITH,0010-01-A-012-03,GI-ZONE,MAT-44712,6
2000481124,PTWY,2026-05-04T08:19:02Z,2026-05-04T08:22:03Z,MMUELLER,GR-ZONE,0010-02-R-201-11,MAT-09113,48

Ask AI about your SAP Extended Warehouse Management (EWM) data.

Anyone on the team can ask, in plain language — answers come back as charts, tables and KPIs, grounded in the twin built from your SAP Extended Warehouse Management (EWM) data.

  • “What are our picking rates by zone?” → Ask AI
  • “Which SKUs should move before peak season?” → Ask AI
  • “Where is travel time leaking in SAP Extended Warehouse Management (EWM)?” → Ask AI

Value for every slotting model.

However SAP Extended Warehouse Management (EWM) runs your warehouse — fixed slots, dynamic putaway or a mix — the twin optimises the part that matters.

  • Static slotting

    Better slotting

    Every SKU gets the fixed slot that minimises travel and congestion, with re-slotting plans your team can apply week by week.

  • Dynamic slotting

    Zone configuration

    WareBee tunes the zones themselves — velocity boundaries, putaway rules and zone shapes that direct stock to the right areas.

  • Hybrid

    Both, together

    Optimised fixed pick faces where stability pays, optimised zone rules where flexibility wins — one model covering both.

What you unlock.

  • Improve WMS slotting

    Optimal slot assignments, simulated in the twin and sent back to SAP Extended Warehouse Management (EWM) for execution.

  • Batching & clustering

    Group orders into efficient pick waves that cut travel and picking stops.

  • BI tools

    Warehouse analytics over your events — cost to serve, utilisation, CO₂, velocity.

  • AI dashboard

    KPIs and trends assembled by AI, surfacing what changed and why it matters.

  • Ask AI

    Plain-language questions about your data and processes, answered as charts and tables.

  • Root-cause analysis

    Trace a missed SLA or a slow shift back to the events that caused it.

  • Process mining

    Reconstruct how work actually flows — detours, rework and bottlenecks included.

  • Master-data analysis & audit

    Find dimension gaps, orphan locations and data issues — then fix them in the WMS.

See your SAP Extended Warehouse Management (EWM) data as a digital twin.

Bring a data export to the demo and we'll show you your own warehouse — not a canned one.