Connect Oracle Fusion Cloud Warehouse Management to WareBee.

How the connection works.

1. 1

   Get the data out

   Connect via REST API, scheduled exports, or a one-off CSV — whatever Oracle Fusion Cloud Warehouse Management 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 Oracle Fusion Cloud Warehouse Management for execution.

What data WareBee reads.

Five data types cover everything the twin needs. Oracle Fusion Cloud Warehouse Management 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.

• Oracle Fusion Cloud WMS

  The LogFire-lineage cloud service — current flagship.

• Oracle E-Business Suite WMS

  Legacy on-premise WMS inside EBS; still live in older Oracle estates.

Example data mapping.

An Input Interface / extract job output mapped onto WareBee’s Events feed.

activity_id,activity_type,start_ts,end_ts,user_name,location,item_code,qty
ACT-99120,PICKING,2026-05-04T08:12:03Z,2026-05-04T08:12:41Z,u.smith,A-012-03-1,ITM44712,6
ACT-99121,REPLEN,2026-05-04T08:14:02Z,2026-05-04T08:15:10Z,r.jones,R-201-11-4,ITM09113,48

Ask AI about your Oracle Fusion Cloud Warehouse Management 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 Oracle Fusion Cloud Warehouse Management 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 Oracle Fusion Cloud Warehouse Management?” → Ask AI

Value for every slotting model.

However Oracle Fusion Cloud Warehouse Management 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 Oracle Fusion Cloud Warehouse Management 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.