Artificial intelligence (A.I.) is often characterized as being highly-theoretical and the appropriate domain of academic researchers and graduate studies. Until recently these characterizations were not completely inaccurate. In the last few years a new generation of artificial intelligence technologies have emerged — coupled with significant increases in computer power — that have made A.I. a viable tool in such applications as cash flow, distribution requirements, manpower forecasting, and inventory control. Practical applications of A.I. are often referred to as “Business Intelligence”. These technologies are no longer expensive, large-scale implementations within the reach of only large corporations or universities. They are now practical, proven tools for increasing the capabilities and decreasing development cost of business applications.
THNK began implementing business intelligence technologies for our clients with our first decision support system — an expert systems based loan approval Web application — in 2001. Since that time we have continued to expand our expertise in applying advanced computing techniques to application development as the technologies became feasible investments for our customers. We now employ a wide range of techniques from the fields of machine learning, operations research, and decision support systems.
Analysis of customer buying patterns both for prediction of future sales totals as well as for predicting the future purchases of specific customer for proactive sales initiatives (Regression Analysis).
Adding modules to existing ERP software that minimizes inventory costs by effectively allocating inventory (Inventory Scoring, Cutting Stock Solutions).
Sales Force Scheduling
Extending CRM (Customer Relationship Management Systems) with scheduling extensions to maximize the effectiveness of sales staff (TSP Solutions).