Case Study

Transforming Nationwide Midstream Operations Through AI-Driven Inventory Intelligence

Partnering with industrial midstream and energy operations, this multi-site initiative modernized warehouse inventory and master data management across a nationwide service footprint using the ARIVA Inventory Intelligence Platform.

Project Scope: Multi-site MRO physical inventory counts, warehouse organization, bin location mapping, item labeling, obsolete item flagging, unknown/off-books item identification, and master data standardization and enrichment.
KEY CHALLENGES
Overcoming Legacy Data Gaps and Midstream Warehouse Inefficiencies
The partnership targeted systemic warehouse roadblocks and data bottlenecks across regional facilities. Part records lacked complete baseline fields, such as missing Maximo numbers, preventing effective system mapping and leaving master data fragmented across desktop silos. Furthermore, warehouses suffered from unorganized bin locations, missing labels, intermingled inventory, unoptimized physical spacing, off-books items, unknown components, and obsolete stock cluttering active storage zones.
1
The Maximo & Baseline Data Deficit
Midstream part records lacked essential baseline fields, specifically missing Maximo numbers, which blocked effective ERP system mapping and left master data trapped across isolated desktop silos.
2
Physical Disorganization & Space Inefficiencies
Regional warehouses suffered from unorganized bin locations, missing physical labels, intermingled stock, and poor spatial layouts that completely concealed true stock availability.
3
Obsolete Stocks & Unidentified Assets
Facilities struggled with off-books items, unrecognized components, and obsolete materials cluttering active storage zones without any accurate tracking mechanisms.
ARIVA INTELLIGENCE IN ACTION
Deploying Onsite Specialists and ARIVA for MRO Optimization
By combining on-the-ground support from dedicated inventory specialists with the ARIVA platform, the mandatory physical inventory counts and warehouse organization initiatives were executed across a nationwide service footprint.
Field-Verified Data Capture & Organization
Deployed onsite teams averaging 2 specialists per location across 2 to 6 week windows—totaling over 6,000 onsite hours—to execute hands-on warehouse organization, bin location mapping, and item labeling
AI-Driven Enrichment & Deduplication
Executed AI-driven description standardization, deduplication, manufacturer identification, country of origin tracking, and obsolescence status updates pulled straight from physical midstream assets.
Physical Spacing & Completeness Recovery
Reclaimed active storage bins by consolidating identical parts, while enriching item records previously lacking Maximo identifiers to unlock seamless enterprise system mapping.
Enhanced Project Visibility
Deployed real-time reporting using ARIVA dashboards to streamline operational tracking and stakeholder communication across regional midstream facilities.
VERIFIED BUSINESS VALUE
Realizing Nationwide Storage Recovery and Complete Master Data Visibility
11,539 items

73.4% of the items physically discovered in the warehouses were not present in the original baseline files. This highlights how severely outdated or incomplete the client’s initial desktop records were, showing that facilities were operating blindly with a huge volume of unrecorded stock.

5,499 items

Uncovering thousands of unlisted assets meant that nearly half (47.7%) of all parts routed into Maximo were newly cataloged additions rather than pre-existing entries. This demonstrates how the physical counts acted as a vital data-cleansing and enrichment engine, successfully bringing off-books components into formal enterprise tracking.

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