2.2

Cards (42)

  • Consumer trends
    Habits and behaviours of consumers around the products they buy and how they use them
    • Aim to meet needs by providing products or services
    • Successful businesses anticipates needs of consumers
    • Demand changes for items overtime
  • Sales forecasting
    • Predicting future trends based on past data
    • Businesses may want to predict
    • Sales of a product
    • Effect of promotion on sales
    • Changes in market size
  • Long term trends
    • Long term changes
    • Affect sales forecasting and business strategies
  • Fashion
    • Consumer preferences can be unpredictable
    • Difficult to forecast sales
  • Seasonal variation
    • Purchases in different amounts during different seasons
    • Results in different cash flow
  • Economic variables
    • Measurements of different aspects of the economy that give indication of how the economy is performing
  • Economic growth
    • Judged by using gross domestic products.(measure of the total output of the economy)
    • An increase in economic growth means and increase in business sales
  • Interest rates
    • Changed by banks and financial institutions
    • An increase in interest rates means a higher cost of loans which decrease the demand for loans
    • An increase in interest rates means a decrease in sales forecast
  • Exchange rates
    • Increased exchange rates means it will be cheaper to import goods
    • UK business sales will be low due to foreign competitors
    • UK good will be more expensive for those abroad
    • Sales forecast should decrease
  • Unemployment
    • During a recession unemployment rises
    • Economic crisis in 2008 made 3million unemployed
    • When unemployment is high sales forecast is low
  • Unemployment
    • Rises during a recession
    • Spending falls
  • Actions of competitors
    • Where competitors use a strategy to gain market share, sales forecast needs to decrease
    • Significant actions by competitors will make time series data a less reliable source of data
  • Extrapolation
    Using trends established from historical data to forecast the future
    • Advantages
    • Simple
    • Not much data required
    • Quick and cheap
    • Disadvantage
    • Unreliable if fluctuations in past data
    • Assumes past trends will continue in the future
  • Expert opinion
    • Can be subjective
    • Can be wrong
    • Different experts have different views
  • Range of data
    •  Not very accurate
    • Not easy to collect data
    • Data can change
  • Sales revenue
    • The value of output sold - Calculated price x quantity of output
  • Sales volume
    • This is the quantity of output sold in a particular time period
  • Variable cost
    • A cost that rises as output rises
  • Fixed cost
    • A cost that does not change as a result of a change in output in the short run
  • Average cost or unit cost
    • The cost of producing one unit. Calculated by dividing the total cost by the output
  • Total costs
    • All fixed and variable costs added together
  • Contribution per unit
    Selling price – variable cost
  • Total contribution
    Unit contribution × number of units sold
  • Profit
    Total contribution – fixed costs
  • Break even output
    Fixed costs ÷ contribution per unit
  • Margin of safety
    Actual level of outputbreakeven point
  • Limitations of break-even analysis:
  • Assumes all output is sold so that output equals sales (no stocks are held)
  • Assumes unchanging conditions, such as the break-even chart being drawn for a given set of conditions, unable to cope with sudden increases in wages and prices
  • Accuracy of data depends on the quality of the data used
  • Multi-product businesses need multiple graphs as each product has different unit costs and prices
  • Some fixed costs are stepped, for example, needing more capacity may increase rent as a larger building is required
  • Some relationships are not linear, sometimes total revenue and total cost aren't linear but form more of a curve
  • Variance
    • A budget can turn out favourable or adverse
    • This is decided by comparing the actual output/revenue/sales to the budget made
  • Causes of Favourable variance
    • Stronger market demand
    • Selling price is higher than a budget
    • Cautious sales forecast assumptions
    • Competition weakness
    • Better than expected efficiency
  • Causes of Adverse variance
    • Unexpected events leading to unbudgeted costs
    • Overspends
    • Sales forecast is overoptimistic
    • Competition pricing force selling prices to be lower than budgeted
  • Benefit of budgets - Monitoring
    • Set up objectives
    • Success can be viewed in relation to the budget
  • Benefit of budgets - Planning
    • Forces people to think ahead
    • Anticipates problems and solutions
  • Benefit of budgets - Co-ordination
    • Managers can control and coordinate different areas
  • Benefit of budgets - Communication
    • Removes uncertainty of decision making
    • Clear plan in place