1. Who is Tomax? Software development company founded in 1981, in Salt Lake City, UT # 1 Workforce Management Solution in US Supermarket Industry Thin client solution deployed on 10g 10g Beta partner Oracle equity in Tomax

2. Tomax : 2002 Oracle Software Vendor of the Year Tomax, a solutions provider for the retail industry, won the Oracle Outstanding ISV award based on its ability to launch a number of successful vertical marketing campaigns for solutions based on Oracle technology, including Oracle9i Application Server and Oracle9i Real Applications Clusters. Oracle PartnerNetwork, November 12 2002

3.  #1 Controllable Cost in Retail  Labor Forecasting, Optimization and Scheduling – Improves service and customer loyalty – Helps retain qualified employees – Enables profits within tight margins  Track and Manage Labor Budgets – Corporate Budget Control – Store Manager Compliance – Analyze by Department across the Corporation  Simple and Intuitive to use Tomax Retail.net Workforce Management

4.  5,000 to begin 1998 – 8,500 to finish 2002 – Nearly 50% of US Chain Supermarkets  Built using our clients insights  Many customers significantly increased their investment with us last year # 1 Workforce Application in US Supermarkets 1100 to 1900

5. Architecture

6. Business and Technical Advantages  Huge Payroll Savings (e.g. 10 to 15%)  Consolidating talent  Better deployment of Labor Costs  “Best Practices” identified and shared quickly  Upgrades are quick and painless  Training is simpler  Technical reside with the problem  Consolidated view of all information

7. System 1 System 2 Schedule quality can be deceptive!

8. Forecast quality affects scheduling Poor customer service Excess labor cost Required Forecast

9.  Statistical model based on architecture of brain  Learns from history to improve forecast through experience - like the best managers  Can use other inputs too, like holidays, promotions, weather, football games  You tell it what happened, it decides if it’s relevant Neural network forecasting

10. Average Daily Error in Manpower Based on Item Forecast Average Daily Error in Manpower Based on Item Forecast Quarter Hours 1 2 3 4 5 6 7 8 9 10 Store Neural Manager Neural

11. Needed Over Short Needed Over Short 63 5 63 21 System 1 System 2 Schedule quality measured

12. System 2System 1 Overage21-5=16 Excess hrs5.25-1.25=4 @ $10.00hr$52.50-$12.50= $40 $1,460,000 = $40/day * 365 days/yr * 100 Stores Immediate ROI is huge! Daily

13. – Cuts labor costs by reducing over staffing. Improves resource deployment resource when they are working – Reduces the amount of time spent solving the scheduling problem – Improves customer satisfaction by fitting forecasted demand to available resources – Increased Revenue – Optimizes labor allocation, allowing for employees’ skills and scheduling preferences. – Enhances employee morale and retention because schedules are accurate and fair. Value Proposition