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4.3 Sales forecasting

Practice exam-style IB Business and Management questions for Sales forecasting, aligned with the syllabus and grouped by topic.

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Paper
Difficulty
Status
Level
Question 1
HL • Paper 1
Easy
Calculator Permitted
HL • Paper 1
Easy
Calculator Permitted

LumiBite (LB) produces chilled ready meals for supermarkets. Its marketing manager is preparing estimates of expected sales for the next six months before negotiating production capacity with suppliers.

A

Define the term sales forecasting.

[2]
Question 2
HL • Paper 1
Easy
Calculator Permitted
HL • Paper 1
Easy
Calculator Permitted

NordTrail (NT) sells outdoor clothing through its website. The business has three years of monthly sales records. Sales usually rise sharply before winter and fall in early summer. NT’s operations manager wants to use these records when ordering inventory from overseas suppliers with long lead times.

A

Explain one benefit and one limitation for NT of using sales forecasting.

[4]
Question 3
HL • Paper 1
Easy
Calculator Permitted
HL • Paper 1
Easy
Calculator Permitted

PulsePlay (PP) develops mobile fitness apps. The product manager has monthly subscription data, but several months include sales spikes caused by one-off influencer promotions. PP is considering using a moving average before making its next sales forecast.

A

Outline why PP might use a moving average in sales forecasting.

[2]
Question 4
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

Apex Scoops (AS) operates ice cream kiosks in a coastal city. The finance manager compares actual monthly sales with a smoothed sales trend. She notices that sales are regularly higher than trend in July and August, but one unusually low month occurred after a major storm damaged the seafront.

Monthly actual sales and smoothed trend for Apex Scoops.
A

Explain the difference between seasonal variation and random variation for AS.

[4]

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Question 5
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

HarbourFit (HF) is a small chain of gyms. Membership sales increase every January and September. The human resources manager uses sales forecasts when planning personal trainer contracts, while the finance manager uses them when preparing the cash flow forecast.

A

Explain how sales forecasting could support workforce planning and financial planning at HF.

[4]
Question 6
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

NovaScoops (NS) is a small manufacturer of frozen yoghurt sold to supermarkets. NS uses monthly sales forecasts to plan production and staffing. The marketing manager is concerned that recent weather changes have made forecasts less accurate.

Sales data for one product range:

Month

Forecast sales volume / tubs

Actual sales volume / tubs

April

4200

4100

May

4600

4980

June

7000

6300

A

Calculate the percentage forecast error for June using: forecast error = actual sales volume−forecast sales volumeforecast sales volume×100\frac{\text{actual sales volume} - \text{forecast sales volume}}{\text{forecast sales volume}} \times 100. Show all your working.

[3]
B

Comment on one limitation of sales forecasting for NS using your answer to part (a).

[2]
Question 7
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

Kuppa (KP) sells reusable coffee cups online. KP uses sales forecasts to plan digital advertising expenditure and expected profit. The finance manager wants to check whether the September forecast justifies a campaign.

Forecast data:

Item

Figure

Forecast sales volume for July / cups

1200

Forecast sales volume for August / cups

1400

Forecast sales volume for September / cups

1600

Selling price per cup / USD

12

Variable cost per cup / USD

5

Fixed digital marketing cost for September / USD

3000

A

Calculate the forecast total contribution for September. Show all your working.

[3]
B

Calculate the forecast profit for September after the fixed digital marketing cost. Show all your working.

[1]
C

Comment on one benefit of using sales forecasting for KP's financial planning.

[2]
Question 8
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

UrbanBite (UB) operates a food truck near office buildings. UB uses daily sales forecasts to decide how many meals to prepare. The owner records unusual events to help identify possible random variation.

Daily sales data:

Day

Forecast meals

Actual meals

Event noted by owner

Monday

300

280

Normal trading

Tuesday

320

315

Normal trading

Wednesday

310

330

Positive social media review

Thursday

340

260

Heavy rain all lunch hour

Friday

500

520

Normal trading

A

Calculate the total weekly forecast variance in meals, using actual sales minus forecast sales. Show all your working.

[3]
B

Comment on whether the weekly shortfall is more likely to be random variation or seasonal variation.

[2]

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Question 9
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

VitaPods (VP) sells refillable coffee capsules through supermarkets. Sales rose steadily for two years, so the marketing director used extrapolation to forecast further growth. A new environmental regulation has now reduced the use of some capsule materials, and a large competitor has launched a cheaper refillable product.

A

Explain two limitations for VP of using extrapolation for sales forecasting.

[4]
Question 10
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

GlowGrow (GG) manufactures indoor plant-growing lamps. It has five years of quarterly sales data showing a clear upward trend and higher sales in winter. GG is considering expanding its production line, but recent energy price increases and several negative online reviews about product reliability may affect future demand.

Year

Quarter

Sales volume (units)

Year 1

Q1

150

Year 1

Q2

110

Year 1

Q3

90

Year 1

Q4

130

Year 2

Q1

160

Year 2

Q2

120

Year 2

Q3

100

Year 2

Q4

140

Year 3

Q1

170

Year 3

Q2

130

Year 3

Q3

110

Year 3

Q4

150

Year 4

Q1

185

Year 4

Q2

140

Year 4

Q3

120

Year 4

Q4

165

Year 5

Q1

200

Year 5

Q2

150

Year 5

Q3

130

Year 5

Q4

180

A

Analyse the usefulness of sales forecasting to GG when deciding whether to expand production.

[6]
Question 11
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

PedalPeak (PP) manufactures electric bicycles for urban commuters. PP has experienced increasing sales and wants to use extrapolation to estimate next year's sales volume before deciding whether to expand its factory.

Annual sales volume:

Year

Sales volume / bicycles

2021

1800

2022

2300

2023

2700

2024

3300

A

Calculate the forecast sales volume for 2025 by extrapolating the average annual increase from 2021 to 2024. Show all your working.

[4]
B

Explain one benefit to PP of using this sales forecast when deciding whether to expand its factory.

[2]
Question 12
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

HarbourStay (HS) operates a coastal hotel. HS uses time series analysis because demand for rooms changes during the year. The manager uses an additive seasonal model, in which seasonal variation is calculated as actual sales minus trend value.

Room-night data:

Period

Actual room nights sold

Trend value (room nights)

Spring 2024

4800

4500

Summer 2024

6900

5600

Autumn 2024

5100

5300

Summer 2025 forecast trend value

—

5900

A

Calculate the seasonal variation for Summer 2024. Show all your working.

[2]
B

Using your answer to part (a), calculate the forecast room nights sold for Summer 2025. Show all your working.

[2]
C

Comment on one limitation of using this forecast for HS.

[1]

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Question 13
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

FitMeal (FM) sells monthly healthy meal-plan subscriptions. FM uses past subscription numbers to forecast future sales revenue, but a new competitor is expected to enter the market.

Subscription data:

YearNumber of subscribers at year end / subscribers
2021900
20221200
20231450
20241750

The monthly subscription price is USD 30.

Year

Number of subscribers at year end / subscribers

Monthly subscription price / USD

2021

900

30

2022

1200

30

2023

1450

30

2024

1750

30

A

Calculate the forecast number of subscribers at the end of 2025 by extrapolating the average annual increase from 2021 to 2024. Show all your working.

[3]
B

Using your answer to part (a), calculate the forecast annual sales revenue for 2025. Assume that the forecast number of subscribers applies in each month of 2025. Use the unrounded forecast from part (a) in your calculation and state your answer in USD. Show all your working.

[2]
C

State one limitation of FM using past sales data to forecast 2025 subscriptions.

[1]
Question 14
HL • Paper 1
Medium
Calculator Permitted
HL • Paper 1
Medium
Calculator Permitted

MangoBike (MB) rents electric bicycles to tourists and commuters. During its first year, the booking system recorded some walk-in rentals incorrectly and the business did not separate tourist rentals from commuter rentals. The marketing director wants to base next year’s pricing, promotion and inventory decisions on the first year’s sales forecast.

A

Analyse the importance of data quality when MB uses sales forecasting for marketing decisions.

[6]
Question 15
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

EcoGlow (EG) makes solar garden lamps. EG's marketing manager compares forecast and actual sales weekly to decide whether the forecasting method is reliable enough for stock control.

Weekly sales data:

Week

Forecast sales volume (lamps)

Actual sales volume (lamps)

1

800

760

2

900

990

3

950

920

4

1000

1100

A

Calculate the mean absolute forecast error in units for the four weeks. Show all your working.

[4]
B

Comment on whether EG's sales forecasts appear reliable enough for stock control.

[2]
Question 16
HL • Paper 2
Medium
Calculator Permitted
HL • Paper 2
Medium
Calculator Permitted

LumaSkin (LS) produces sunscreen. LS uses monthly sales forecasts to decide inventory levels. For July, LS planned available inventory equal to the forecast demand plus a safety stock of 10%10\%. A heatwave increased actual demand.

Forecast and inventory data:

Month

Forecast demand (units)

Actual demand (units)

May

5000

5300

June

8500

8200

July

12000

14500

A

Calculate LS's July stock shortfall or surplus, assuming planned available inventory was forecast demand plus 10%10\% safety stock. Show all your working.

[3]
B

Comment on the usefulness of sales forecasting for LS's operations planning.

[3]

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Question 17
HL • Paper 1
Hard
Calculator Permitted
HL • Paper 1
Hard
Calculator Permitted

Solaro (SO) installs home battery storage systems for households with solar panels. SO’s sales team has recorded monthly enquiries and completed installations for four years. Sales usually increase after government announcements about energy prices and in months when electricity bills are sent to households. SO uses moving averages to smooth monthly sales data and to forecast installation bookings.

SO is considering whether to base its next marketing plan mainly on these sales forecasts. The marketing director wants to use the forecast to decide the timing of online advertising, promotional discounts and recruitment of temporary installation teams. The managing director is concerned that future sales may depend more on external factors than past sales: a possible change in government subsidies, new safety regulations, changes in interest rates and negative media coverage of battery fires in another country.

Monthly installations and moving average
A

Using information from the stimulus and appropriate business concepts, discuss whether SO should base its marketing plan mainly on sales forecasts.

[10]
Question 18
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

FreshLoop (FL) delivers weekly boxes of locally grown vegetables to households in one large city. FL is considering expanding into a second city. The marketing director has prepared a forecast for the first year in the new city by using sales patterns from the existing city. She believes the forecast should guide FL’s pricing, promotion and staffing decisions.

FL’s existing city has high brand awareness and many repeat customers. The second city has a younger population, more apartment living and two established competitors offering similar delivery services. FL has not previously traded there.

Selected data from FL’s existing city:

QuarterActual boxes sold in existing cityForecast boxes for new cityForecast average revenue per box / USD
Q1420001800024
Q2475002100024
Q3390001650023
Q4520002400025

Estimated additional fixed marketing cost for the new city in year 1: USD 160000.

Quarter

Actual boxes sold in existing city

Forecast boxes for new city

Forecast average revenue per box (USD)

Additional fixed marketing cost (USD)

Q1

42000

18000

24

Q2

47500

21000

24

Q3

39000

16500

23

Q4

52000

24000

25

Year 1 fixed marketing cost

160000

A

Using the data provided, to what extent should FL rely on sales forecasting when planning its expansion into the second city?

[10]
Question 19
HL • Paper 1
Hard
Calculator Permitted
HL • Paper 1
Hard
Calculator Permitted

BeanRoot (BR) manufactures plant-based ready-to-drink coffee in recyclable cartons. BR sells mainly through independent cafes and university shops. Sales have grown over the last three years, but the pattern is uneven: demand rises strongly at the start of university terms and falls during vacation periods. BR’s marketing manager has prepared a quarterly sales forecast using time series analysis and extrapolation of the trend. The forecast suggests that BR could justify investing in a second production line and signing a two-year supply contract with a national supermarket chain.

However, BR’s operations director is cautious. A recent increase in milk-alternative prices may raise BR’s selling price, and two large competitors have launched similar products. BR also had one unusually successful quarter after a celebrity posted about its products on social media. The finance director argues that, despite these uncertainties, a sales forecast is needed to prepare cash flow forecasts, plan inventory and coordinate marketing with production.

Quarter

Actual sales volume ('000 cartons)

Smoothed trend ('000 cartons)

Seasonal variation ('000 cartons)

Forecast sales volume ('000 cartons)

2022 Q1

55

50

+6

—

2022 Q2

43

51

-8

—

2022 Q3

40

52

-12

—

2022 Q4

57

53

+4

—

2023 Q1

60

54

+6

—

2023 Q2

47

55

-8

—

2023 Q3

67

56

-12

—

2023 Q4

62

57

+4

—

2024 Q1

64

58

+6

—

2024 Q2

51

59

-8

—

2024 Q3

50

60

-12

—

2024 Q4

66

61

+4

—

2025 Q1

—

62

+6

68

2025 Q2

—

63

-8

55

2025 Q3

—

64

-12

52

2025 Q4

—

65

+4

69

A

Evaluate the usefulness of sales forecasting to BR when deciding whether to invest in a second production line.

[10]
Question 20
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

DriftWear (DW) manufactures waterproof jackets made from recycled materials. DW sells mainly through outdoor retailers. The operations director wants to invest in an automated cutting machine that would increase annual capacity by 40%. The investment would require a long-term loan and would only be profitable if sales continue to grow.

DW’s marketing manager has used past sales data to prepare a sales forecast. She argues that sales forecasting will reduce uncertainty before the investment decision is made. However, a large sportswear brand has recently launched a lower-priced recycled jacket range.

Selected sales data for DW:

Year

Actual sales volume / jackets

Forecast sales volume / jackets

Average selling price / USD

2022

18000

17500

95

2023

21500

21000

96

2024

26000

24500

98

2025

28600

31000

98

2026 forecast

34500

99

A

Using the data provided, evaluate the usefulness of sales forecasting to DW when deciding whether to invest in the automated cutting machine.

[10]

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Question 21
HL • Paper 2
Hard
Calculator Permitted
HL • Paper 2
Hard
Calculator Permitted

AeroCharge (AC) sells portable phone chargers at music festivals and through its website. Demand is highly seasonal because most festival sales occur between May and August. AC’s marketing manager has used time series analysis to forecast sales for the next festival season. She recommends increasing inventory and hiring temporary sales staff.

The operations manager is concerned that the forecast may be unreliable. Several major festivals are moving to cashless payment systems that rent chargers to customers on-site. AC is also planning a new premium charger with a higher selling price but limited past sales data.

Selected sales information for AC:

PeriodActual sales volume / chargersTrend value / chargersForecast sales volume for next comparable period / chargers
Spring 2025820090009100
Summer 2025246001850025200
Autumn 202596001080010100
Winter 2025720085007600

Expected temporary staffing cost for Summer 2026: USD 38000.

Period

Actual sales volume / chargers

Trend value / chargers

Forecast sales volume for next comparable period / chargers

Expected temporary staffing cost for Summer 2026 / USD

Spring 2025

8200

9000

9100

—

Summer 2025

24600

18500

25200

—

Autumn 2025

9600

10800

10100

—

Winter 2025

7200

8500

7600

—

Summer 2026 staffing cost

—

—

—

38000

A

Using the data provided, recommend whether AC should base its Summer 2026 marketing and operations plans mainly on the sales forecast.

[10]
Question 22
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

ReRead Books (RRB) – a social enterprise

Read the resources and answer the questions that follow.

Resource 1 — Background

RRB collects donated textbooks, refurbishes them and sells low-cost exam revision packs to schools. Surpluses fund free reading clubs for children in low-income areas. RRB’s founder, Nia, stated: “If we forecast demand badly, either pupils miss out because we have no packs left, or cash is tied up in books no school wants.” RRB wants to open three temporary pop-up stalls near examination centres next year.

Resource 2 — Forecast and actual sales volume of revision packs in 2025

Resource 3 — Operational information

RRB’s current workshop capacity is 4500 packs per quarter without overtime, or 6500 packs per quarter with overtime and extra volunteer shifts. Unsold packs become less useful when examination syllabuses change. Some donated books arrive in poor condition and cannot be used.

Resource 4 — Marketing information

RRB has 82 000 social-media followers, but posts reach between 8% and 35% of followers depending on the platform algorithm. Two schools have asked RRB to guarantee minimum stock levels before signing supply agreements.

Quarter

Forecast sales volume / packs

Actual sales volume / packs

Notes recorded by RRB

Q1

2400

2600

Normal trading

Q2

5200

7100

One large school tender and a viral student video

Q3

3100

2800

Supplier shortage of science textbooks

Q4

6100

5400

Competitor donation campaign

1

Describe one benefit to RRB of using sales forecasting for operations planning.

[2]
2

Using Resource 2 and Resource 3, explain two limitations of RRB relying on past sales data to forecast demand.

[6]
3

Using all the resources provided and your knowledge of business management tools and theories, recommend a plan of action for RRB to use sales forecasting to support the proposed pop-up stalls while maintaining its social mission.

[17]
Question 23
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

WarmWatts (WW) – a social enterprise

Read the resources and answer the questions that follow.

Resource 1 — Background

WW refurbishes used smart thermostats and installs them at a discount in homes affected by fuel poverty. Full-price online sales to environmentally conscious customers help finance the discounted installations. WW’s mission statement is: “Lower energy bills, less waste and warmer homes.” WW is considering a major winter campaign and may lease a larger workshop for two years.

Resource 2 — Forecast and actual sales volume of refurbished thermostats

Resource 3 — Finance and operations

WW has cash reserves equal to two months of expenses. The lease on the larger workshop would increase fixed costs but allow WW to refurbish 800 more thermostats per quarter. Components are imported with a 12-week lead time.

Resource 4 — Market information

WW has 36 000 email subscribers and partnerships with four local councils. A new low-priced competitor has entered the online market. WW’s operations manager said: “Our past sales figures tell us a lot, but energy prices, weather and government grants can change demand very quickly.”

Period

Forecast sales volume / thermostats

Actual sales volume / thermostats

Main external factor

Winter 2024

1800

2300

Sharp rise in energy prices

Spring 2025

1200

1150

Normal demand

Summer 2025

900

760

Warmer than average weather

Autumn 2025

1500

2050

Temporary government energy-efficiency grant

1

Describe one benefit to WW of using sales forecasting for financial planning.

[2]
2

Using Resource 2 and Resource 4, analyse the usefulness of time series analysis for WW.

[6]
3

Using all the resources provided and your knowledge of business management tools and theories, recommend a plan of action for WW to improve its sales forecasting before deciding whether to lease the larger workshop.

[17]
Question 24
HL • Paper 1
Hard
Calculator Permitted
HL • Paper 1
Hard
Calculator Permitted

Koru Kidswear (KK) designs and sells premium school backpacks through its website and selected department stores. KK has experienced unpredictable sales. Some demand is seasonal because parents buy backpacks before the school year begins, but online sales also change quickly after influencer reviews and competitor promotions. KK has only recently entered overseas markets, where the school year starts at different times.

KK’s directors are considering three actions for the next 12 months:

  • use past sales data and seasonal variation to forecast demand by month;
  • increase inventory before the expected peak selling months;
  • reduce spending on qualitative market research to save cash.

The operations manager supports this plan, arguing that stock shortages last year damaged KK’s reputation. The marketing manager opposes reducing market research, arguing that overseas customers may have different preferences and that competitor promotions can quickly change demand. KK’s finance manager says the business cannot afford both high inventory levels and extensive market research unless the forecast is reliable.

A

Recommend whether KK should rely on sales forecasting when planning inventory and market research for the next 12 months.

[10]

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Question 25
HL • Paper 3
Hard
Calculator Permitted
HL • Paper 3
Hard
Calculator Permitted

FoodBridge Kitchen (FBK) – a social enterprise

Read the resources and answer the questions that follow.

Resource 1 — Background

FBK turns surplus food from supermarkets into frozen meals and employs people who have been long-term unemployed. It sells meals through community shops and a small subscription service. Surpluses are reinvested in free cookery training. FBK is considering launching a new range of ready-to-cook family meal kits in two nearby cities.

Resource 2 — Trial subscription data for frozen meals

Resource 3 — Data quality and operations

FBK has only ten months of reliable subscription data. Until March, its sales system did not separate paid trial boxes from free sample boxes. The supply of surplus vegetables changes weekly. Meal kits would require new packaging, recipe cards and more accurate demand planning than frozen meals.

Resource 4 — Marketing information

A social-media video about FBK received 150 000 views, but FBK does not know how many viewers became paying customers. A charity partner said: “Expansion could create jobs, but only if FBK avoids wasting food and cash on products customers do not buy.”

Month

Forecast sales volume (meal boxes)

Actual sales volume (meal boxes)

Notes recorded by FBK

January

900

880

Normal trading

February

950

1100

Local news report about food waste

March

1000

910

Several delivery delays

April

1050

1240

Partner gym promoted FBK online

1

Outline one limitation for FBK of using sales forecasting for the proposed new meal kits.

[2]
2

Using Resource 2 and Resource 3, explain two benefits to FBK of using sales forecasting when planning the new meal kits.

[6]
3

Using all the resources provided and your knowledge of business management tools and theories, recommend a plan of action for FBK to use sales forecasting when deciding whether to launch the new meal kits in two nearby cities.

[17]

4.2 Marketing planning

4.4 Market research