B. Issues/ challenges. ( For this part. Please help to explain to me, I don't understand. Thank you so much!)

1. Current situation analysis (for 1 week) Cinema capacity: 266 seats Ticket Price: $10 Product Version: 1 Regular show/day @7pm Occupancy: Wkd: 30% Wkn: sold out early with 50% consumer surplus (spillage); overcrowded A. KPI Analysis This table is incomplete.... Day Occ. Yield Yield % Product version Current Tkt Price Current Ttl. Rev $ RevPAS $ Perished Opportunity (loss revenue $) Spoilage Spillage $1860 seats % 30 R 80 $800 $3 $2660 30% 30 Mon Tue Wed Thu Fri R R 80 80 R 30 30 30 100 100 R $10.00 $10.00 $10.00 $10.00 $10.00 $10.00 $10.00 80 80 266 266 $2600 $10 $1330 100% Sat Sun R R Ave. Ave. Ave. Total Ave. Total Total Total Ave. Total Note: you can change the look of the table to better fit your style, as long as all the required info are there. RevPAS revenue per available seat (ttl rev / ttl avail seats); same as hotel's RevPAR (ttl Rev / ttl avail rooms) Perished opportunity Spillage + Spoilage = lost potential revenue Yield = potential max revenue (highest $ x all capacity) Yield Statistic = percentage showing how close you are to maximizing PRO (total rev / yield) %; the gap here = opportunity for improvement sample only 120 100 100 Current Demand Plan (undifferentiated) Show spillage too, if any... 100 Identify perished opportunities: Spoilage (supply > demand) = perished inventory = perished opportunity to max PRO Spillage (demand > supply) = perished opportunity to make money BO Aouedn220 60 IL 30 30 30 30 30 LLLL 20 O s Occ. can be in % or # of seats; show value Days of the week Mon Tue Wed Total $ Micro Undifferentiated # customer # customer # customer No profiling and micro targeting $ $ $ $ Total Rev. Total Loss Rev. $ $ $ $ $ $ Yield $ $ Yield % % % % Av. % Note: you can change the look of the table to better fit your style, as long as all the required info are there