B_Line Case Studies

Case 1 - Skirts

INPUT

  • Base Data

  • Season length (weeks) 20
    Number of decision periods 10
    Purchase cost ($) 26.2
    Holding cost (5 of purchase cost /
    unit / period)
    1
    Initial price ($) 68.00
    Number of price levels in each
    period
    3,3,3,3,4,4,5,5,5,5
    Permissible price levels (% off the
    initial price)
    0, 31, 50, 60, 75
    Initial inventory 206

  • Demand Estimates

  • Period
    Number
    Off
    Percentage
    Minimum
    (Numbers)
    Likely
    (Numbers)
    Maximum
    (Numbers)
    1 0 10 16 20
    1 31 20 32 40
    1 50 60 80 100
    1 60 0 0 0
    1 75 0 0 0
    2 0 10 16 20
    2 31 20 32 40
    2 50 60 80 100
    2 60 0 0 0
    2 75 0 0 0
    3 0 10 16 20
    3 31 20 32 40
    3 50 60 80 100
    3 60 0 0 0
    3 75 0 0 0
    4 0 10 16 20
    4 31 20 32 40
    4 50 60 80 100
    4 60 0 0 0
    4 75 0 0 0
    5 0 10 16 20
    5 31 20 32 40
    5 50 60 80 100
    5 60 70 90 110
    5 75 0 0 0
    6 0 10 16 20
    6 31 20 32 40
    6 50 60 80 100
    6 60 70 90 110
    6 75 0 0 0
    7 0 10 16 20
    7 31 20 32 40
    7 50 60 80 100
    7 60 70 90 110
    7 75 83 103 123
    8 0 10 16 20
    8 31 20 32 40
    8 50 60 80 100
    8 60 70 90 110
    8 75 83 103 123
    9 0 10 16 20
    9 31 20 32 40
    9 50 60 80 100
    9 60 70 90 110
    9 75 83 103 123
    10 0 10 16 20
    10 31 20 32 40
    10 50 60 80 100
    10 60 70 90 110
    10 75 83 103 123


    Decisions with and without B_Line

  • Intuitive pricing

        Off % in different periods: 0, 31, 31, 31, 31, 50, 50, 50, 50, 50
        Sales ($): 9118
        Profit ($): 3554

  • Optimal pricing (recommended by B_Line)

        Off % in different periods: 0, 0, 0, 0, 0, 0, 0, 0, 0, 50
        Sales ($): 10895
        Profit ($): 5222

    Percentage increase in profits (when optimal pricing is applied rather than intuitive pricing): 47

  • Case 2 - Shorts

    INPUT

  • Base Data

  • Season length (weeks) 9
    Number of decision periods 3
    Purchase cost ($) 12.3
    Holding cost (5 of purchase cost /
    unit / period)
    0
    Initial price ($) 29.99
    Number of price levels in each
    period
    1,3,4
    Permissible price levels (% off the
    initial price)
    0, 33, 54, 66
    Initial inventory 530

  • Demand Estimates

  • Period
    Number
    Off
    Percentage
    Minimum
    (Numbers)
    Likely
    (Numbers)
    Maximum
    (Numbers)
    1 0 100 170 275
    1 33 0 0 0
    1 54 0 0 0
    1 66 0 0 0
    2 0 70 90 180
    2 33 190 220 300
    2 54 200 300 400
    2 66 0 0 0
    3 0 30 50 100
    3 33 100 140 200
    3 54 125 180 250
    3 66 250 350 450


    Decisions with and without B_Line

  • Intuitive pricing

        Off % in different periods: 0, 0, 33
        Sales ($): 11800
        Profit ($): 5282

  • Optimal pricing (recommended by B_Line)

        Off % in different periods: 0, 0, 33
        Sales ($): 12370
        Profit ($): 5931

    Percentage increase in profits (when optimal pricing is applied rather than intuitive pricing): 12

  • Case 3 - Suede Miniskirts

    INPUT

  • Base Data

  • Season length (weeks) 12
    Number of decision periods 3
    Purchase cost ($) 18.42
    Holding cost (5 of purchase cost /
    unit / period)
    1
    Initial price ($) 49.99
    Number of price levels in each
    period
    3, 3, 3
    Permissible price levels (% off the
    initial price)
    0, 25, 50
    Initial inventory 342

  • Demand Estimates

  • Period
    Number
    Off
    Percentage
    Minimum
    (Numbers)
    Likely
    (Numbers)
    Maximum
    (Numbers)
    1 0 60 80 120
    1 25 80 100 150
    1 50 120 160 180
    2 0 72 100 120
    2 25 100 120 160
    2 50 140 200 220
    3 0 40 60 72
    3 25 50 72 90
    3 50 70 100 110


    Decisions with and without B_Line

  • Intuitive pricing

        Off % in different periods: 0, 25, 50
        Sales ($): 11436
        Profit ($): 5061

  • Optimal pricing (recommended by B_Line)

        Off % in different periods: 0, 0, 0
        Sales ($): 12047
        Profit ($): 5656

    Percentage increase in profits (when optimal pricing is applied rather than intuitive pricing): 11

  • Case 4 - Leggings

    INPUT

  • Base Data

  • Season length (weeks) 12
    Number of decision periods 3
    Purchase cost ($) 11.00
    Holding cost (5 of purchase cost /
    unit / period)
    0
    Initial price ($) 26.00
    Number of price levels in each
    period
    2, 3, 4
    Permissible price levels (% off the
    initial price)
    0, 24, 47, 62, 74
    Initial inventory 485

  • Demand Estimates

  • Period
    Number
    Off
    Percentage
    Minimum
    (Numbers)
    Likely
    (Numbers)
    Maximum
    (Numbers)
    1 0 45 60 80
    1 24 60 75 100
    1 47 0 0 0
    1 62 0 0 0
    1 74 0 0 0
    2 0 45 60 80
    2 24 60 75 100
    2 47 100 150 190
    2 62 0 0 0
    2 74 0 0 0
    3 0 0 0 0
    3 24 60 75 100
    3 47 100 150 190
    3 62 170 250 300
    3 74 220 300 350


    Decisions with and without B_Line

  • Intuitive pricing

        Off % in different periods: 0, 24, 62
        Sales ($): 5523
        Profit ($): 188

  • Optimal pricing (recommended by B_Line)

        Off % in different periods: 0, 47, 62
        Sales ($): 6000
        Profit ($): 665

    Percentage increase in profits (when optimal pricing is applied rather than intuitive pricing): 253

  • Case 5 - Shirts

    INPUT

  • Base Data

  • Season length (weeks) 12
    Number of decision periods 3
    Purchase cost ($) 12.30
    Holding cost (5 of purchase cost /
    unit / period)
    0
    Initial price ($) 19.99
    Number of price levels in each
    period
    3, 3, 3
    Permissible price levels (% off the
    initial price)
    0, 30, 50
    Initial inventory 275

  • Demand Estimates

  • Period
    Number
    Off
    Percentage
    Minimum
    (Numbers)
    Likely
    (Numbers)
    Maximum
    (Numbers)
    1 0 40 60 80
    1 30 80 100 130
    1 50 150 170 200
    2 0 50 70 80
    2 30 100 120 150
    2 50 150 170 200
    3 0 10 30 40
    3 30 30 50 60
    3 50 50 70 90


    Decisions with and without B_Line

  • Intuitive pricing

        Off % in different periods: 0, 30, 30
        Sales ($): 3590
        Profit ($): 195

  • Optimal pricing (recommended by B_Line)

        Off % in different periods: 30, 30, 30
        Sales ($): 3790
        Profit ($): 410

    Percentage increase in profits (when optimal pricing is applied rather than intuitive pricing): 110