Miosoft’s Customer Conversation™ suite enables firms to start every customer interaction with a complete picture of their customers, regardless of who initiated the contact.

Miosoft’s Customer Context™ Cache is always ready for your customer requests by maintaing a single view for each customer from all legacy and customer-facing systems.

Miosoft’s Customer Context™ Server delivers a continuously updated Customer Context to all customer touchpoint applications within a second.

Miosoft helps companies that select best-of-breed CRM and e-commerce applications from multiple vendors in building a consistent view of each customer.

	Customer Context Server
	Features
	Benefits
	Technology
	How to survive without one
	Customer Identity
	Customer Context Cache
	Why cache customer data?
	Flexible Deployment
	Customer Context
	Basic Customer Data
	Customer Analytics and Rules
	Customer Relationships
	Requirements for a Customer Context
	Relationship Examples
	Quick Deploy™ Interface
	Customer Modeling
	Data Sources
	Formatting & Mapping
	Case Study

Why cache customer data?

Maintaining Customer Identity™ in the presence of ambiguous customer data on a massive scale requires sophisticated data structures in a parallel processing environment. Running the pre-requisite match and merge algorithms interactively across dozens of different legacy and customer-facing systems is not feasible.
Signals indicating changes to customer data can be generated out of sequence due to the intricacies of legacy systems. (For example, a shipping notice could be sent before the order confirmation). Without caching, these signals cannot be attributed to the same event (the order).
Legacy systems have not been designed for the performance requirements of e-commerce and cannot handle the real-time requests generated by millions of customers simultaneously visiting a website. Increasing the performance of an existing legacy system by a factor of thousand or more is usually not feasible or economical. Therefore, relevant customer data (i.e. the Customer Context) needs to be cached.
To keep a customer conversation flowing across channels or touchpoints supported by different vendors, some status or context information about an ongoing conversation needs to be stored. The Customer Context Cache is the ideal place for this since the customer data model can be easily extended.