NEXT GEN SLM AND IWMS
Tango Artificial Intelligence
With TangoAI, retailers, restaurants and corporate enterprises can embrace disruptive forces and make smarter, more informed decisions to drive their real estate and facilities strategies and their execution.
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Artificial Intelligence Meets Real Estate and Facilities.
According to McKinsey, Artificial Intelligence will generate between $3.5 and $5.8 trillion in a value across industries. Together, real estate and facilities represent one of the largest operating expenses for most companies, and the number one use of capital.
Applying AI to real estate helps companies quickly incorporate new and broader sets of data to detect non-linear relationships and understand rapidly changing interactions between customers and stores – or employees and their workspaces. AI is fundamentally changing the way organizations manage their real estate and facilities.
In With the Old and In With the New – Traditional Modeling Feeds Machine Learning.
Artificial Intelligence presents an incredible opportunity to unlock hidden patterns and new insight, but it’s important not to forego traditional techniques and wisdom. TangoAI combines years of modeling and big data experience with leading edge artificial intelligence and machine learning techniques. Blending the latest technology and the deepest domain expertise enables organizations to discover a higher level of understanding and deliver more value.
Turn Data Into New Insights.
The growth in varieties and types of data across the real estate and facilities lifecycle – whether it’s demographic, geospatial, employee, customer, lease, or asset – has enabled bolder algorithms to tackle more ambitious problems and garner new insights.
In with the old and in with the new.
Traditional predictive analytics techniques feed AI/ML models delivering better performance and interpretability.
Near Real - Time
Allows for a near real-time understanding of changing data sets, market dynamics, operations and performance.
Double-digit improvement in model accuracy.
Rapid model iteration and feedback loop means models are constantly improving.
Fully leverage all available data sets to extract maximum insight previously not available
From weeks to hours.
Model development at unprecedented speed means quicker access to results.