Proof over promises.
See how Meadow AI is driving measurable ROI for operators nationwide. These are the stories behind the numbers — where better visibility turned into bottom-line results.
See the difference Meadow makes
When data works for you, results follow. Our customers use Meadow to sell more, stop costly errors, and work smarter — turning everyday operations into measurable performance gains.
Sell more
Stop the leaks
Work smarter
Real solutions. Real customers.
Every operator’s story is different, but the goal is the same: make smarter decisions with less friction. Discover how our partners are using Meadow to turn insights into action and challenges into measurable wins.
Café Chain
300+ locations nationwide
During peak lunch hours, only 24% of customers were being upsold correctly — well below the brand’s 55% average and their goal of 80%+. It was also lower than the industry benchmark of 42% (Bernstein report).
Meadow AI stepped in to make upselling consistent across every shift. By auditing each customer interaction in real time, Meadow pinpointed exactly when and where upsell opportunities were missed, down to the employee and shift level, allowing managers to target training where it mattered most.
In just four weeks, upsell attempts climbed above 80% and upsell revenue surged by 48%, proving that small operational shifts can unlock major growth.
Café Chain
300+ locations nationwideDuring peak lunch hours, only 24% of customers were being upsold correctly — well below the brand’s 55% average and their goal of 80%+. It was also lower than the industry benchmark of 42% (Bernstein report).
Meadow AI stepped in to make upselling consistent across every shift. By auditing each customer interaction in real time, Meadow pinpointed exactly when and where upsell opportunities were missed, down to the employee and shift level, allowing managers to target training where it mattered most.
In just four weeks, upsell attempts climbed above 80% and upsell revenue surged by 48%, proving that small operational shifts can unlock major growth.
National Salad Chain
110+ locations nationwide
Across hundreds of daily transactions, employees were forgetting to charge for up to 42% of add-ons and special items during peak hours. These weren’t isolated mistakes—they were small, repeated misses that quietly added up to serious revenue loss across the brand.
Meadow AI stepped in to shine a light on where leakage was happening. By using computer vision to match each order against the POS, Meadow flagged missed charges in real time and revealed clear shift-level patterns, especially during lunch rush, so managers knew exactly where to act.
In just two weeks, the missed charge rate at underperforming stores dropped from 42% to 5%, delivering tighter operational control without adding friction at checkout.
National Salad Chain
110+ locations nationwideAcross hundreds of daily transactions, employees were forgetting to charge for up to 42% of add-ons and special items during peak hours. These weren’t isolated mistakes—they were small, repeated misses that quietly added up to serious revenue loss across the brand.
Meadow AI stepped in to shine a light on where leakage was happening. By using computer vision to match each order against the POS, Meadow flagged missed charges in real time and revealed clear shift-level patterns, especially during lunch rush, so managers knew exactly where to act.
In just two weeks, the missed charge rate at underperforming stores dropped from 42% to 5%, delivering tighter operational control without adding friction at checkout.
Regional Arcade Chain
20+ locations
The client struggled to reduce labor costs without hurting the guest experience. Cutting shifts blindly often led to long concession lines and lower customer satisfaction, while keeping too many employees on the floor pushed labor costs above 35% of revenue on certain days.
The sheer size of each arcade made it difficult for managers to monitor staff activity in real time. During busy periods, some employees were taking 30–60 minute breaks or disappearing to low-visibility areas, creating gaps in coverage and wasted labor.
Meadow AI used computer vision to analyze employee movement and utilization across the entire floor. Managers received clear visibility into which shifts were effective and where labor was being wasted—empowering them to make targeted cuts without hurting service.
Within weeks, labor costs dropped from 35% to 22% of revenue, saving an average of $34,000 annually per location.
Regional Arcade Chain
20+ locationsThe client struggled to reduce labor costs without hurting the guest experience. Cutting shifts blindly often led to long concession lines and lower customer satisfaction, while keeping too many employees on the floor pushed labor costs above 35% of revenue on certain days.
The sheer size of each arcade made it difficult for managers to monitor staff activity in real time. During busy periods, some employees were taking 30–60 minute breaks or disappearing to low-visibility areas, creating gaps in coverage and wasted labor.
Meadow AI used computer vision to analyze employee movement and utilization across the entire floor. Managers received clear visibility into which shifts were effective and where labor was being wasted—empowering them to make targeted cuts without hurting service.
Within weeks, labor costs dropped from 35% to 22% of revenue, saving an average of $34,000 annually per location.
Let’s talk.
From revenue maximization to labor optimization, Meadow gives operators real visibility and measurable impact — and the insights to act with confidence.