Cloverleaf Analytics, the leading provider of Insurance Intelligence solutions, today announced that Michael Schwabrow has joined the company as EVP of Sales and Marketing. Reporting to Cloverleaf President Robert Clark, Schwabrow will be responsible for Cloverleaf's go-to-market strategy and for cultivating relationships with insurers to maximize the value of Cloverleaf's Insurance Intelligence platform which includes Business Intelligence (BI), Artificial Intelligence (AI)/Machine Learning (ML), Natural Language Processing (NLP), and other technologies. Schwabrow has a long track record of collaborating with carriers and MGAs to attain meaningful digital transformation with immediate and long-term business results. With Cloverleaf, he will help carriers and MGAs to understand and unleash the real-world value of Insurance Intelligence across core business operations. "The insurance industry is like a big family, and our community is at a critical juncture for how to make smarter and more efficient decisions to reduce risk, improve product offerings, and strengthen the overall health of carrier books of business," said Schwabrow.

Cloverleaf Analytics, an insurance intelligence solutions company, recently announced partnerships with auto insurance carriers United Automobile Insurance Company and Citizens United Reciprocal Exchange (CURE). The deals aim to leverage Cloverleaf's proprietary policy management capabilities and Guidewire's digital claims experience to "enable advanced insights regarding quote, policy and claims enterprise data in real-time," according to a company press release. The partnerships come off the heels of Clovereaf's investment into its suite of new AI-driven advanced analytics and data security technologies. Robert Clark, president and CEO of Cloverleaf Analytics, told Digital Insurance that the company is consolidating and aggregating data in real-time, into one place. "In our data lake we're pulling all of their premiums, their losses, reinsurance billing, their treaties, cash calls, everything," says Clark. "Once we pull it in, we aggregate that up in our data warehouse where we calculate over 900 different KPIs. On top of that, we've got over 28 different machine learning libraries and AI capabilities, including full integration of Python and R. We have actuaries creating scripts and learning models that will actually learn from their data and make recommendations."

NEW YORK, NY--(Marketwired - Jan 12, 2017) - Cloverleaf, a retail technology company for the modern brick-and-mortar marketer and merchandiser, today announced shelfPoint, the industry's first dynamic shelf solution with built-in emotional artificial intelligence (Emotion AI) capabilities. With shelfPoint, brands and retailers can now capture customer engagement and sentiment data at the moment of purchase decision -- something previously unavailable in physical retail stores. Despite the rise of online shopping in recent years, Forrester1 predicts that 88% of purchases in 2017 will still be made in physical stores. Yet, retailers lack the in-the-moment tools necessary to captivate shoppers and gain insights that lead to sales uplift. While advancements in e-commerce analytics have upleveled marketers' understanding of consumer behaviors, brands and retailers still have little-to-no insight as to what happens in-store.