User profiling, behavioral analysis and statistical comparisons let us use data science to identify and control risk factors and detect and prevent fraud.

Image recognition and language processing can search, identify, and categorize unstructured document caches, matching them by subject, type and more.

Improve staff performance, lead nurturing and customer retention by using the existing gamification data to experientially reward desirable behaviors and build habits around processes rather than outcomes.

Tracking physical inventory and service provision against capacity using multiple data sources, including IoT, to establish real-time accurate stock and identify supply and sales patterns.

Sales data can be analysed to reveal likely future outcomes, allowing for seasonal changes and unpredictable events, permitting better sales process design and more predictable revenue.

Personalize sales messaging at scale with data science analysis of prospect data and previous messaging performance. Dynamically construct and serve marketing messaging to leads.

Leveraging Machine Learning and Business Intelligence toolkits to generate predictive analytics from competitor, user and prospect data.

Get more effective, helpful customer service efficiently and at scale, offer cross-selling and up-selling opportunities and improve handling of inbound leads.