Who is Tomax?

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

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Tomax 2002 OracleSoftware Vendor of the Year
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Tomax Retail.netWorkforce Management

• 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

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1 Workforce Application in US Supermarkets

• 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

1100 to 1900
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Architecture
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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

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Schedule quality can be deceptive!
System 1
System 2
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Forecast quality affects scheduling
Required Forecast

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Neural network forecasting

• 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 its
  relevant

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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
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Schedule quality measured
System 1
Needed Over Short
63 5 5
System 2
Needed Over Short
63 21 21
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Immediate ROI is huge!
Daily
System 2 System 1 Overage 21 - 5 1
6 Excess hrs 5.25 - 1.25 4 _at_
10.00hr 52.50 - 12.50 40 1,460,000
40/day 365 days/yr 100 Stores
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Value Proposition

• 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.