CCC e-Port Testing Program

     



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Select Core Report :

Core Report 1: % Cash/Cashless of Total Transactions By Week and To-Date (including total transactions)
Core Report 2: % Cash/Cashless of Total Dollars Vended by Week and To-Date (including total dollars)
Core Report 3: % Multi-Vends of Total Transactions By Week and To-Date (including total transactions)
Core Report 3: % Multi-Vends of Total Dollars Vended by Week and To-Date(including total dollars)

Show Core Reports By:

TRAFFIC_LEVEL 1
1- Low (like a waiting room)
2- Medium – like an office building
3- High (like a mall or stadium)

TRAFFIC_TYPE 1
1- Captive traffic (like an office, the same people see the same machines just about every day and get to know them)
2- Stationary traffic (not “captive” but not “transient” these are people who are in a location for a while but not at that location regularly, like a hospital waiting room, car repair waiting room)
3- Transient traffic (like in a mall, or a gas station, stadium or a movie theater)

CHANNEL 1
1- Entertainment (inside theater, theme parks, stadium)
2- Hospitality (hotels, resorts)
3- Travel (airports, train stations)
4- Education (high schools, colleges)
5- Retail (like a mall, grocery store,
6- Health Care (hospitals)
7- At work blue collar (cafeterias, break rooms, hallways)
8- At work white collar (cafeterias, break rooms, hallways)

AGE 1
1- Under 12
2- 12 to 18
3- 18 to 20
3- 21 to 34
4- 35 to 44
5- 45 to 54
6- 55 to 64
7- 65 and over

GENDER 1
1- Male
2- Female
3- About equal

NEXT_TO 1
1- Next to snack machines
2- Stand alone, not next to anything
3- Next to other beverage machines

BEV_ALTERNATIVES 1
1- Have other options to buy beverages other than this machine (near cafeterias, restaurants, stores that sell beverages)
2- Not have many options to buy beverages other than this machine/this group of machines

VEND_LOCATION 1
1- Located in a room where can sit down (like a break room, a cafeteria)
2- Not located in a room were can sit down (like in a Mall, a hallway, or at a Gas Station)

CUST_DESC 1
1- Office Staff (help desk, admin, computer operators, phone support) (Customer Desription, estimated)
2- Office Management / Professionals
3- Office - Blue Collar (janitorial, repair, shipping/reciving)
4- Factory workers
5- Factory management/white collar
6- Waiting Rooms
7- Shoppers
8- Movie Goers
9- Park Goers

INCOME 5
1- Lower (Customer income, estimated)
2- Lower-middle
3- Middle
4- Middle upper
5- Upper
6- Cross section

CCC_CHANNELS 1
1- F/S AMUSEMENT/RECREATION
2- F/S AT WORK BUSINESS & PROFESSIONAL
3- F/S AT WORK INDUSTRIAL/AGRI/UT
4- F/S GENERAL MERCHANDISE
5- F/S HEALTH/HOSPITAL
6- F/S RETAIL SPECIALITY

CUSTOMER_ID
do we want customer_id to be in the "customer data' (the look up table) or is it already in the transaction data) And if in the transaction data, do we want it in the look up table anyway so that we know what name goes with the code?

CUSTOMER_NAME_CODE
1- Coca-Cola Bottling Co. Consolidated
2- Coke Philly
3- Sodexo

LOCATION_TYPE
1- Offices
2- Airports
3- Malls
4- Theaters

Price Points )Price of most items at this location)
1- $1.00
2- $1.25
3- $1.50
4- $1.75
5- $2.00
6- $2.50
7- $3.00

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