Case Studies
Real analytics and AI consulting outcomes across healthcare, financial services, manufacturing, education, and government. See what changed when we shipped it.
Forecasting and optimization: 10 engagements
- We implemented dynamic pricing AI on 12 properties, using real-time rate adjustments to drive $3.8M in additional revenue within the first year. , Southwest Hotel Group, Gaming & Hospitality
- Deployed revenue analytics on 8 vessels to uncover $2.1M in upsell opportunities and cut inventory waste by $380K annually. , Gulf Coast Cruise Line, Gaming & Hospitality
- Automated OEE tracking at 6 plants uncovered $3.7M in downtime and cut unplanned stoppages by 31 hours monthly. , Benchmark Electronics, Manufacturing
- We merged seven warehouse systems into a single platform, slashing logistics costs by $2.2 million a year and cutting order fulfillment from 3.1 days to 18 hours. , XPO Logistics Regional Division, Manufacturing
- Implemented AI-driven demand forecasting for three product lines, cutting inventory costs by $1.8M yearly and slashing stockouts from 34 to 4 each quarter. , Forum Energy Technologies, Manufacturing
- AI-driven demand forecasting cut overstock by $2.8M and cut stockouts from 312 to 81 a quarter through precise inventory adjustments. , Mid-Market E-Commerce Brand, Retail & E-Commerce
- Launched analytics platform 8 weeks early to optimize territories and drive $2.4M in revenue adjustments , Medical Device Company, Life Sciences
- We deployed grid reliability analytics to 180 operations staff, cutting average restoration time by 34 minutes. , Regional Electric Utility, Energy & Utilities
- We implemented AI-driven predictive maintenance on 340 compressor stations, cutting unplanned downtime and saving $1.7M a year. , Midstream Energy Company, Energy & Utilities
- Built a smart meter data system for 680,000 meters that cut demand response program costs by $3.4 million. , Municipal Electric Utility, Energy & Utilities
Sixty-four engagements, each recorded with the question it existed to answer, the situation it arrived in, and what the work produced. Filter by stage, industry or question type.
Sixty-four engagements and the question each one was answering.
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Every entry records the question the work existed to answer, the situation it arrived in, the roadmap that answered it, and what that produced. Filter by the stage the work sat in, by industry, or by the kind of question.
A question rarely turns into one kind of work, and the stage an engagement started in is usually not the stage the client expected it to. Select one to narrow the library.
Build is the largest of these because it is where clients arrive. Seven of sixty-four started at Assess, and every one of those seven cost less than the engagement the client came in asking for.
That ratio is the thing the first movement exists to change.
An hour, no charge, usually enough to say whether the thing you are about to commission is the thing you need.