“With Pecan AI, we developed a holistic, highly detailed pricing strategy in just three weeks – work that would have taken more than double the time without the tool. The accuracy, visibility, and partnership we received made all the difference.”
Amir Baruch, Director of Data Analytics, Nanit
Meet Nanit
Nanit is a leader in smart baby-monitoring technology, using real, personalized data to help families better understand their child’s sleep, growth, and development. Their system combines innovative hardware, computer vision, and data-backed insights to support parents with a holistic view of family wellness.
Inside the company, Nanit’s data and analytics team supports decision-making across sales, marketing, product, and more. As they explored new pricing scenarios and looked to improve the accuracy of their sales forecasting, the team sought a predictive-analytics platform that could deliver deeper visibility into sales drivers, speed up model development, and strengthen confidence in strategic recommendations.
The Challenge
Before adopting Pecan AI, Nanit relied on internal, home-grown models built in Python or Excel. These approaches provided limited predictive power, making it difficult to pinpoint which factors most significantly affected sales outcomes.
The analytics team wanted to:
- Improve sales forecasting accuracy
- Understand how pricing scenarios would impact demand
- Identify the variables most responsible for driving sales
- Build recommendations leadership could trust
But building sophisticated predictive models required more time, technical expertise, and data-science resources than the team had available.
“With Pecan, we were able to come up with a full pricing strategy in three weeks. Without the tool, it would’ve taken us more than double that time.”
Amir Baruch, Senior Director of Data Analytics at Nanit
The Solution
Why Pecan?
Nanit turned to Pecan AI as a cutting-edge tool that could modernize sales forecasting and guide next-year pricing strategy. Pecan offered direct warehouse connections or manual uploads, enabling the team to start modeling immediately.
“We wanted a cutting-edge tool, came across Pecan AI, and are very happy we did because it’s been extremely useful,” says Amir Baruch.
Throughout onboarding, Pecan’s team provided hands-on guidance via Slack, email, and video sessions, ensuring momentum from day one and helping Nanit get the most out of the platform quickly.
Fast, guided onboarding
Within three days, Nanit generated its first predictive model. Weekly sessions with Pecan’s customer success, product, and technical experts helped refine data structures, annotate fields correctly, and resolve blockers quickly.
“While you can technically use the model without support, the level of guidance they provide makes the initial learning curve much smoother,” notes Amir.
Deeper visibility and trust in predictions
Pecan provided full transparency into how predictions were made. By exploring decision trees, thresholds, and drivers, the analytics team gained clarity on the variables influencing sales performance.
This is where one of the most meaningful insights emerged:
from over 20 internal assumptions to just four true sales drivers.
Pecan’s explainability features helped validate Nanit’s hypotheses and increased leadership’s trust in the final recommendations.
The Impact
3 weeks to a new pricing strategy
Using Pecan’s predictions, Nanit developed a detailed pricing strategy in just three weeks – more than twice as fast as it would have taken manually.
4 key variables identified
Pecan’s model narrowed 20+ possible sales drivers down to the four most impactful variables, sharpening focus and eliminating noise from the company’s analysis.
External validation for leadership
By leveraging an external AI tool, Nanit was able to validate its internal analytics with an objective, outside-in perspective. The results gave leadership the confidence to adopt the proposed pricing changes.
Partnership and ease of use
“Having worked in data analytics for ten years, I can say Pecan is far better than any other tool I’ve used – both in ease of use and transparency into how the model works,” says Amir.
“They truly act as partners. They spend time with you, work alongside you, and genuinely treat your success as their success.”
Key Takeaway
With Pecan AI, Nanit transformed sales forecasting from a manual, assumption-driven process into an automated, highly transparent capability, accelerating pricing strategy, increasing analytical confidence, and driving smarter decision-making across the business.
