Mentioned in 147 AI use cases across 31 industries
An AI-assisted control system checks whether what an energy company promised in contracts, measured in meters, priced in rating engines, billed on invoices, taxed, collected, and recognized as revenue all match, so money does not slip through the cracks.
Watch supplier conditions and market shortages so you can spot when fake or contaminated ingredients are more likely to enter the drug supply chain.
If operators change ingredients, quantities, or equipment during production, the system flags it as a serious issue, records it, and requires quality approval before the batch can move forward.
China Airlines replaced disconnected maintenance systems with one platform that keeps track of aircraft work, parts, tools, and schedules so planes can be serviced faster and more reliably.
Airbus tests different future demand situations in software before spending money on spare parts, helping it buy the right amount instead of too much or too little.
A live dashboard connects what parts and materials are available with what military platforms need, so shortages can be seen and acted on immediately.
Instead of employees manually deciding what to do with every suspicious meter alert, the system automatically opens, filters, routes, and closes investigation cases based on predefined rules and statuses.
Instead of billing customers from separate spreadsheets and systems, one setup connects contracts, installed equipment, meter readings, and finance so bills are created automatically and correctly.
A software system helps utilities keep track of important equipment and infrastructure, like a smart filing cabinet and workflow hub for physical assets.
Even if a store does not have reliable stock counts, AI estimates what is really left and helps place better orders, which is especially useful for fresh food.
Shows which service agreements have gone unbilled, how long they have been waiting, and which accounts have the biggest billing delays.
If customer complaints are already logged in a service system, the company can connect that complaint system to quality workflows so complaints automatically feed formal corrective action tracking.
Put all asset and work information in one place so managers can decide what to fix first, who should do it, and how money should be spent based on facts instead of opinions.
Money-related data from the utility billing system is automatically sent to finance systems so accounting records stay up to date.
Oracle lets utilities map custom characteristics into analytics fields and treat the same base dimension differently depending on context, like start date vs end date or main location vs alternate location.
The retailer replaced spreadsheet-based planning with one AI system that predicts demand and helps decide how much inventory to replenish across stores, catalog, and online channels.
The software not only decides what to ship, but also packs shipments so trucks are used efficiently without hurting store stock levels.
AI helps create or move work orders automatically so maintenance teams spend less time on paperwork and more time fixing equipment.
When a utility plans a job, this setup can connect the job to purchasing, inventory, accounting, and the crew that actually does the work.
A utility keeps a digital record of each field asset, tracks what happens to it, and updates its status as work is done so teams know where equipment is and what condition it is in.
AI predicts what each coffee shop will need, then helps order the right products automatically so baristas spend less time on paperwork and more time serving customers.
The system turns finance goals like revenue, margin, and cost targets into supply chain plans so teams can agree on what to make, source, and ship.
A scheduling system built elsewhere sends worker and open-shift plans into Oracle so managers can review and publish them instead of retyping schedules by hand.
LP Building Solutions uses Syncron Warranty like a smart digital claims desk that helps organize, process, and connect warranty claims faster across customers, dealers, and suppliers.
Utilities connect Oracle systems so customer, billing, and operations data can move between applications without manual re-entry.
Maxeda brought product and category information together in one planning setup so teams can make smarter decisions about what to stock, where, and when.
This lets planners see product pictures inside planning workbooks so they can review forecasts and new items with visual context.
The system shows different claim fields to the dealer and the manufacturer reviewer, so each person enters only the information they are supposed to provide when a warranty claim is being checked and approved.
A utility software vendor provides a centralized online guide hub so teams can find product documentation, videos, API references, and help for managing utility work and assets.
If one part of a claim is much more serious than the rest, the system can send just that part to a specialist team instead of leaving everything with the regular adjuster.
Instead of handling a claim through many manual steps, the insurer connects image services, messaging tools, and document systems so the claim moves faster with less human back-and-forth.
LV= simplified claims systems so new staff can learn the job much faster, cutting training time from weeks to days.
Oil lab reports used to sit in email. The system now reads them automatically, links them to the right machine, compares them with temperature and vibration trends, and creates a repair job when the combined evidence shows wear.
When a worker logs into a station and picks a job, the system checks their HR skill profile to make sure they’re approved for that exact task.
When a utility customer issue needs work on physical equipment, the billing/customer system can pass that service call to an asset management system so field and asset teams can act on it.
Utilities keep asset, maintenance, and inventory information in many systems. This partnership combines asset-management consulting with master-data tools so companies can clean up that information and make better operating decisions.
The platform studies customer usage and account data so energy retailers can tailor prices and offers to what each customer actually needs.
Idaho replaced dozens of old government back-office systems with one cloud platform that helps agencies share data, automate approvals, and use machine learning inside the ERP environment.
Set exact timing rules between furnace steps so materials move at the right moments, helping temperatures stay more even and production finish sooner.
Instead of every mechanic doing paperwork, planning, material gathering, and coordination alone, assign one person to plan and schedule so the others can spend more time actually fixing equipment.
A mobile app uses AI to look at equipment photos in the field, point out possible problems, and help workers record what they found correctly.
Utilities connect their maps, work orders, and asset databases so everyone sees the same asset details and discrepancies can be found during inspections.
Software helps an energy utility build fair, reliable staff schedules for customer service instead of juggling Excel sheets by hand.
The platform helps utilities set up complicated rate plans faster and test them safely before using them on real customer bills.
Instead of separate systems for finance, equipment, and field teams, everything is connected so the company can see what is happening and waste less money.
An AI watches the supply chain continuously, spots problems like delays or demand spikes, and either fixes them automatically or asks a human only when needed.
Machines send live readings to the maintenance system, which can trigger service when conditions show trouble instead of waiting for a fixed calendar date.
A utility replaced disconnected old systems with an integrated IBM Maximo setup so teams can manage assets, maintenance, and operations in one digital environment instead of by hand.
Oracle provides downloadable integration guides so utility teams can see how different cloud systems connect before they deploy or upgrade them.
When the system detects signs of equipment trouble, it automatically alerts maintenance teams through the tools they already use so issues can be handled faster.
AI-like optimization software acts like a smart dispatcher that decides which utility crew should do which job and what route they should take, then keeps updating the plan when things change.
The power company upgraded its maintenance and service system so teams handling wires, meters, and field work can work faster together and serve customers better.
When AI figures out what is likely wrong, it can help managers make sure the right parts are available and required rules are followed.
The utility used a structured asset management system to prove to regulators that it runs the network reliably and cost-effectively, helping avoid penalties and earn incentive rewards.
Western National used a unified insurance platform to collect and use data better across claims, underwriting, policies, billing, rating, and reinsurance.
The planner can choose whether to plan only scheduled items, also include sales-order items, and optionally pull in critical components needed to support those items.
It acts like a shared brain for utility data, connecting analytics with billing, customer, meter, asset, and other Oracle utility systems.
The system offers two ways to run scheduling when creating jobs: one for a few jobs where you wait, and one for many jobs where scheduling runs in the background.