Your pricing team is right, and so is your inventory team. The trouble is that they want opposite things. Pricing wants to hold margin. Inventory wants product off the shelf. Hold price too hard and stock sits until it becomes a markdown. Cut too deep and you sell through at a margin that barely pays for the shelf it sat on. The best result for the company is somewhere in between, at a point neither team is paid to find. Airlines deal with this by judging a flight on revenue across every seat, including the empty ones. For a retailer, the equivalent is margin across every day of shelf space you have, and no single team is measured on it. Who in your business is paid to find that point?
r4 Technologies
Software Development
Ridgefield, Connecticut 4,160 followers
Decision Operations for Cross Enterprise Management
About us
r4 Technologies was founded by the team that built Priceline. That wasn't a marketing decision. It was a mission statement. At Priceline, they proved something that most enterprises still haven't acted on: when you connect demand signals, pricing decisions, inventory, and distribution into a single intelligent system — instead of managing each function in isolation — you unlock yield that was never visible before. Priceline didn't optimize hotel rooms. It optimized the system connecting them. That insight travels. Every enterprise loses yield the same way — at the boundaries between marketing and supply chain, between procurement and logistics, between strategy and execution. The data exists. The intelligence doesn't flow. r4 built XEM — the Cross Enterprise Management Engine — to fix that. XEM sits above your existing systems. It connects every enterprise function into a unified AI environment, applies predictive intelligence across that environment continuously, and triggers coordinated action when it finds something worth acting on. No rip-and-replace. No multi-year build. Yield improvement from the first operational cycle. That's decomplexification. And it's what r4 has been doing since before enterprise AI was a market category. Headquartered in Ridgefield, CT. Operations in New York, San Francisco, Austin, Washington DC, Dublin, Munich, and London.
- Website
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https://r4.ai
External link for r4 Technologies
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Ridgefield, Connecticut
- Type
- Privately Held
- Founded
- 2015
- Specialties
- Artificial Intelligence, Software as a Service, Cloud, Big Data, Data Science, and Predictive AI
Employees at r4 Technologies
Locations
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Primary
Get directions
38 Grove Street
Ridgefield, Connecticut 06877, US
Updates
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Every KPI in your business made sense the day it was set. Service level was a way to measure happy customers. Promo lift was a way to measure growth. Both work well, until you push them too far. Push service level too high and you're carrying more stock than customers need. It sits, and it becomes next season's markdown. Push promo lift too high and you're not creating new demand, you're moving sales earlier. Shoppers learn to wait for the deal. At some point, improving the number starts hurting the thing it was supposed to measure. The team that hits the target rarely sees the cost. It shows up on someone else's P&L or in a later quarter, so nobody corrects it. The problem is built into the scorecard, and replacing the team wouldn't fix it. Which of your KPIs has already crossed that line?
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Marketing hits its campaign targets. Supply chain hits its service levels. Promotions drive volume. Everyone makes their numbers, except the CEO. Not because the silos made bad calls. But because decisions were made based on separate plans, separate demand signals, and separate KPIs. Nobody owns the space between them. That space doesn't have a name, but the discipline that closes it does. We call it Cross Enterprise Management. And we built the software to put this into practice. We call it XEM®.
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Nearly thirty years ago, a small team looked at an airline's empty seat and saw opportunity, not surplus. It was unsold only because pricing, inventory, and demand lived in separate systems that never spoke. Connect them, and the seat sells before it disappears. That idea became dynamic yield management, and it built Priceline. The same leaking yield runs through every enterprise today. Nobody calls it an empty seat. They call it a markdown, an overstock, a promotion nobody could supply. The people who invented yield management at internet scale are now applying it to the whole enterprise. What are your empty seats?
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AI doesn't need to run itself to run your business better. The value of AI in the enterprise isn't autonomy for its own sake. It's better decisions, made faster, with the full picture in view. r4 XEM® brings cross-enterprise data and prediction together so the people making the call have real context, not a black box. That's what Decision Operations looks like in practice: AI doing the math, people doing the deciding. Learn how Decision Operations works → https://hubs.ly/Q04y1CYW0
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What does it take to be the person a senior officer can trust without a second thought? That was one of the questions at the heart of Tuesday night’s Red Wine & Blues event, hosted by Chef Robert Irvine at the Army Navy Country Club. The room brought together veterans, active service members, first responders, and their families. r4 was proud to sponsor the cocktail reception and support an evening dedicated to those who have served. One of the night’s standout moments was the Enlisted Aide of the Year Award - recognizing one specialist, selected from hundreds across every branch of service, for the extraordinary responsibility of managing a senior officer’s household and office with precision, discretion, and trust. We were honored to share the evening with fellow sponsors USAA, Deloitte, Comcast Business, American Airlines, and Ciena. Most importantly, proceeds from the event support the Robert Irvine Foundation, helping veterans and first responders rebuild their lives and move forward. Grateful to be part of an evening that recognizes service — and the people who continue to support those who have served.
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Human in the loop isn't a safeguard we bolted on. It's the architecture. Most conversations about AI safety focus on what happens after control is lost. We think about it differently. XEM was built on the premise that DecisionOps should extend human judgment across the enterprise, not replace it. As XEM takes on more of the decision-making workload, the architecture keeps a person at the point of consequence by design, not as a limitation we're working around. See how XEM keeps people in control of enterprise-scale decisions → https://hubs.ly/Q04xGqn50
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Revenue doesn’t live only in sales. Margin doesn’t belong only to finance. Inventory isn’t just a supply chain problem. The numbers may show up in different places, but the decisions behind them rarely stay there. A promotion changes demand. Demand changes inventory. Inventory changes cash. Operations affect margin. And all of it eventually reaches the customer. Yet most businesses still plan, measure, and optimize these decisions separately. That’s where opportunity gets missed. Not because the business needs more data, more capacity, or another system — but because what it already has isn’t working together as well as it could. Sometimes the biggest growth opportunity isn’t something new. It’s getting more from what’s already there. https://hubs.ly/Q04wjZxT0
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The growth was already there. The business just couldn’t see it. A global CPG beverage company had plenty of data across finance, supply chain, category management, and sales. What it didn’t have was a way for those signals to move across the business fast enough to change the outcome. Once they did: ● $163M recovered from high-margin SKU distribution gaps ● $108M in core revenue growth from store-level demand signals ● $76M in out-of-stock losses eliminated That’s $347M in value — without adding more data. The opportunity was already inside the business. Connecting the decisions made it visible. That’s Enterprise Yield.
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Planning is only as good as what happens next. Most enterprise technology is very good at helping one part of the business see more, plan better, or move faster. The harder problem starts when that decision has to move across the enterprise. A demand change affects inventory. Inventory affects supply. Supply affects operations. Operations affect finance. One decision becomes five — and somewhere between them, intent gets lost. That’s the gap XEM® was built to close. We call it DecisionOps: connecting decisions across the enterprise so insight doesn’t stop at a dashboard. It turns into action. Because better planning isn’t the finish line. Better execution is.
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