Service supply chain management solutions for your business using goal driven economic optimization

Complex rules-based hierarchies. Inflexible high-maintenance systems. A significant disconnect with reality. The complaints turn into litanies when you look at what rigid, rules-based solutions do to those who keep them around. That’s why Pointserve’s economic model-based engines optimize against business goals, costs, and values that are clearly defined in the language of economics: hard dollars. As a result, Pointserve’s ERO solutions are accurate, flexible, and adaptive, ideally suited to the complex, dynamic nature of the services industry.

Pointserve’s approach is in stark contrast to competitors’ solutions that require a business to be abstracted into a complex hierarchy of simplistic rules. These rules are typically time consuming to define and modify, are not based on economic reality, and often do not map to business objectives. Pointserve technology has its origins in autonomous command and control of satellite systems and reflects solutions that were born in a world of complexity...not just the back office of a supply chain software purveyor.

Pointserve’s goal driven economic modeling approach is based on the principle of simultaneously considering provider costs and customer value elements using a global economic search scheme. Using information gathered early in the engagement process, Pointserve consultants rapidly define an economic model for the customer’s service business in terms of operational constraints, costs, values, and business goals. In production, the Optimization Platform uses this model to determine the best deployment of resources to drive towards the defined goals.

Rapidly finding an optimized solution for the supply / demand balancing problem under consideration. This is especially critical for real-time operations. Rules-based solutions often default to quick-fixes, such as offering wide (4 to 8 hour) customer time windows and assigning work to technicians based solely on geographical area, resulting in higher operating costs and reduced customer satisfaction.
Rapidly responding to business changes by incrementally altering the underlying economic model. Competing solutions often require time-consuming changes to a complex hierarchy of business rules. Keeping these rules current in the dynamic service environment can be particularly difficult.
Rapidly evaluating alternative future scenarios.
Using powerful Operational Simulation and Analysis (OSA) tools, the dollar impact of changes in constraints, costs, values, and goals can be accurately assessed by looking at both historical data and forward-looking forecasts. Competing solutions, lacking an underlying economic model of the business, offer little insight to assist with tough strategic planning decisions.