Esri / ArcGIS
ArcGIS Pro add-ins, Experience Builder widgets, ArcPy automation, GeoAI, road and asset inspection, and ArcGIS integration with RFID/RTLS, SAP, Oracle, IBM Maximo and Odoo.
Practical engineering notes for GIS teams and asset owners: when custom ArcGIS development is worth it, how the pieces fit together, what data you need, and where the limits are. Vendor documentation is linked on every page; ArcGIS is a trademark of Esri and nothing here implies an Esri partnership unless stated on Esri's official pages.
AI for Roads, Pavement and Infrastructure Inspection
AI for Roads, Pavement and Infrastructure Inspection is an engineering and delivery service for ai for roads, pavement and infrastructure inspection for government and enterprise organisations across the…
integrationArcGIS – IBM Maximo Integration
An ArcGIS – IBM Maximo integration keeps one asset register in Maximo and one spatial picture in ArcGIS, joined by a stable key. Locations and assets are synchronised,…
integrationArcGIS – SAP Integration (PM/EAM, S/4HANA)
An ArcGIS – SAP integration links GIS features to SAP PM/EAM objects — functional locations and equipment — so maintenance notifications and work orders can be raised and…
solutionArcGIS Experience Builder Custom Widgets
A custom Experience Builder widget is a React/TypeScript component built with the ArcGIS Experience Builder Developer Edition SDK and dropped into your own widget folder. You build one…
problemArcGIS Is Slow or Difficult to Maintain: Performance and Governance
ArcGIS performance and maintenance problems can come from layer design, services, queries, geometry, network, storage, client configuration, permissions, integrations or uncontrolled content. Start with a reproducible user action…
solutionArcGIS Pro Add-in Development
An ArcGIS Pro add-in is a signed .esriAddinX package built with the ArcGIS Pro SDK for .NET that adds your own ribbon buttons, tools, dockpanes and automation inside…
solutionArcGIS Python Toolbox & ArcPy Automation
A Python toolbox is a .pyt file where each tool is a Python class built on ArcPy, with typed parameters, validation and messages, so it behaves like any…
integrationArcGIS RTLS & RFID Integration: Live Location in GIS
RTLS and RFID integration with ArcGIS means binding tag IDs to GIS features and streaming positions into a feature layer that maps, dashboards and web apps can read.…
integrationBIM and Asset Management Integration for Facilities
BIM and asset-management integration connects design or as-built information with maintainable assets, spaces, documents and work processes. The critical work is mapping identifiers, classification, location, level, equipment attributes,…
integrationBIM and GIS Integration for Infrastructure and Built Assets
BIM and GIS integration aligns detailed building or infrastructure models with geographic context, parcels, networks, corridors, field work and operational layers. A successful implementation defines coordinate systems, identifiers,…
solutionCAD-to-GIS & BIM-to-GIS Automation
CAD-to-GIS and BIM-to-GIS automation converts AutoCAD drawings and Revit or IFC models into a geodatabase on a repeatable schedule instead of by hand. The pipeline georeferences the source,…
integrationCCTV and GIS Integration for Spatial Video Operations
CCTV and GIS integration connects cameras, locations, zones, incidents and field or security workflows on a spatial operating view. The design must define camera identity, map position, stream…
integrationEsri and BIM Integration for Built Asset Operations
Esri and BIM integration connects building and infrastructure models with geographic context, asset records, field workflows and operational systems. The challenge is not only viewing a model; it…
integrationEsri and Digital Twin Integration for Spatial Operations
Esri and digital twin integration combines spatial context, asset relationships, sensor state, models and operational workflows. The design must clarify whether the twin is a map, 3D model,…
integrationEsri and IoT Integration for Spatial Sensor Operations
Esri and IoT integration connects sensor identity and time-series data with maps, asset context, spatial analysis and field action. A good design defines device-to-asset mapping, spatial reference, data…
integrationEsri and Oracle Integration for Location-Based Decisions
Esri and Oracle integration joins Oracle business objects with spatial layers, maps, analysis and field workflows. A reliable design establishes identity, geometry ownership, status synchronisation, permissions, versioning and…
integrationEsri and SAP Integration for Spatial Enterprise Operations
Esri and SAP integration connects enterprise transactions and asset records with spatial context, maps, field workflows and operational analysis. The architecture must define which system owns the asset,…
solutionGeoAI Object Detection with ArcGIS
GeoAI object detection in ArcGIS uses deep learning models — trained in ArcGIS Pro or externally with PyTorch — to find and outline features in imagery, drone photography…
problemGIS Field Teams Still Use Paper or Excel: Mobile Workflow Upgrade
When GIS field teams still use paper or Excel, the barrier may be connectivity, form design, approval, device constraints, data quality, training or integration—not simply a missing mobile…
solutionRoad Inspection & Pavement Condition Intelligence in GIS
Camera-based road inspection uses vehicle-mounted cameras and GNSS to record the road surface, deep learning to detect potholes, cracking, ravelling and patching, and GIS to aggregate those detections…
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