Mass Customisation: A Tale of Technology Serving the Advisor

Intelligenza artificiale e risorse per usarla nel Wealth Management

What is the technology behind a mass customisation solution that allows the advisor to save time and reduce effort? A solution that frees her time and allows her to increase contact with customers and advise them how to achieve the optimal result, free from inconveniences, bureaucracies and hurdles?

There are many keywords to define Mass Customisation in technology terms, but – in summary – we shall talk about containers, microservices, machine learning and, above all, absence of lock-in.

Containers and Microservices

Constant availability of optimal processing capacity is an important aspect of a mass customisation solution. The framework of Mass Customisation is based on microservices and algorithms running within containers. Technical jargon put aside, the software is organized into small, independent components, that collaborate at their best regardless of how heavy is the workload.

Docker containers and microservices allow for automatic scalability, both horizontally and vertically: need more power for a single component? Or do you need more channels for delivering results? Processing resources are always at the optimal level to provide maximum performance. The idea here is to have Algorithms as a Service, activating as and when desired. Thanks to automatized management and transparent interchangeability of components, no update will compromise operations. In fact, thanks to Agile development and continuous development and integration methodologies, the system is continuously improving and fine-tuning.

A System that Learns and Can Be Taught

We are proud of the speed of Mass Customisation and also of how it automatically learns as it works. In fact, the code incorporates algorithms for implicit cluster profiling, behavioral analysis, predictive models and optimization; it improves by itself. And, when feedback comes from the advisor network, it incorporates ruins into its knowledge base. The system improves both from self-learning and from the feedback given to it.

This is linked to the ability to directly measure the response to each portfolio proposal campaign and continuously adapt the campaigns themselves to the changing requirements, to always get the best result and always know how to adjust a campaign to get closer to the expected results.

Integrates Immediately, Operational Ready, but Leaving Freedom of Choice

Mass Customisation contains a service integration framework that eases and speeds up integration into existing systems, through the extension of ready-made services. The system already contains all monitoring, alarms and other features to minimize downtime. More importantly, the combination of modularity, scalability, API exposure and organization by entity means that it does not have any technological lock-in.

Such great flexibility available to the customer reverberates in the tools at her disposal: the delivery channels of the portfolio proposals, for example, can be in the number and type desired, modifiable at will by format and content. Deployment happens on a hybrid cloud: the parts that require more processing power are run on public clouds; the sensitive data and the parts on which the customer demands confidentiality can stay on a private cloud, on-premises or at the Trusted Cloud Partner hosting services by Objectway.

Technology That Harness Value fromData

Mass customisation enhances the value of data available to the customer, not the data model that organizes them. Thus, the value for the customer is maximized. Such value is both continuously measurable and disconnected from the infrastructure due to the absence of lock-in, so you can understand how it can answer to business needs with great effectiveness, thanks to its technological substrate. The effectiveness​ that is our goal.

You can read an Italian edition of this post if you prefer.

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