The client faced significant friction in managing frequent revisions to their quotes. Their manual process involved handling complex changes at the line-item level, such as adding, copying, splitting, or canceling items, and modifying costs.
Additionally, they needed to send specific lines to Purchase Orders (PO) and Sales Orders (SO) selectively. Their existing system was too rigid, making these revisions cumbersome and prone to errors, which slowed down the entire order fulfillment cycle.
Prudent developed a customized Salesforce solution specifically designed to streamline the revision management process. We built a custom interface that enabled users to perform complex line-level actions effortlessly. Sales reps could now add, copy, split, or cancel specific items and modify quantities or costs within a few clicks.
Crucially, we integrated this with their ERP to allow for selective data transfer. Instead of sending an entire quote, the system allowed for specific line items to be sent to Purchase Orders and Sales Orders. This ensured that only relevant, updated items were transferred, drastically reducing manual data entry and ensuring that the fulfillment team always worked from the most current revision.
Over 72% of U.S. electric meters are now AMI-enabled. Utilities now process outage events, interval consumption data, transformer loading patterns, switching activity, DER fluctuations, and asset condition signals at a scale grid operations teams were never designed to coordinate manually. Yet outage restoration still runs over SLA. Field crews still
You’ve invested heavily in Advanced Metering Infrastructure (AMI). Your smart meters are humming along, collecting granular consumption data every 15 minutes. Your data warehouses are overflowing with insights. Yet your energy operations remain inefficient. The problem isn’t your data. It’s what you’re not doing with it. AMI data without decision intelligence is like having a detailed weather forecast but no meteorologist to
The utility industry has invested over $10 billion in artificial intelligence initiatives over the past five years. Yet despite this massive capital injection, most AI projects fail to deliver promised ROI, scale beyond pilot phases, or integrate meaningfully with legacy infrastructure. This paradox frustrates CTOs, enterprise architects, and utility leaders who expected transformative results.
We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.
Suggested Searches
Quick Navigation
