Customers increasingly expect personalised experiences in their digital interactions.  Recommendation engines can offer tailored suggestions to your users, whether these are Next-Best-Action engines or production recommendations, personalisation drives metrics such as lifetime value, conversion rate or retention.

An understanding of your customer base is the basis for value-add commercial decision making.  Better understand and drive value from your customers by studying lifetime value, churn and retention, behavioural propensity, marketing, and personalised experiences.

Optimally investing in sales and marketing for the short and long term is an ongoing challenge for most organisations.  In the context of a broad marketing mix, multi-channel attribution relies on high-quality tracking data.  With interactions covering multiple platforms, the attribution challenge becomes increasingly complex without coherent identification.

Understanding the key drivers of demand for your products and services is critical to running your operation. Effective demand forecasting establishes the foundations for operational optimisation, including pricing strategy, supply-chain and inventory, asset utilisation, and resource rostering.

Taking control of your pricing strategies enables effective management decision making to respond to changing market behaviour.  Adopting a thorough test and learn mindset allows you to accelerate the adoption of advanced pricing strategies and control product volume/margin mix.

AI and machine learning allow the automation of tasks and reduce the time invested in operational efficiencies.  By implementing ML technology, organisations can experience benefits such as increased productivity, efficiency, and cost savings.  Increasingly, this will include edge capabilities.