Case study · Confectionery

Demand Forecasting

Scenario forecasts through Covid and recovery — validated against a consumer survey — that reset the marketing plan.

Client

A mid-tier confectionery manufacturer

Industry

Confectionery

Result

$20MM revenue growth

Capability

Forecasting Optimizer

The situation

What the client was facing.

The client needed to know how Covid-19 would affect its core businesses and what that meant for 2021 — and how its smaller businesses could compete with larger players.

  • Unprecedented demand disruption

  • Several possible recovery paths

  • Smaller brands competing with big players

Our approach

How we got there.

Methods used

Causal forecasting modelScenario planningConsumer survey validation
  1. 01

    Built a forecasting model on three years of history, before and during Covid

  2. 02

    Modeled the effect of macroeconomic, mobility, category and company variables on sales

  3. 03

    Validated results against a consumer survey

  4. 04

    Forecast the rest of 2020 and 2021 under several Covid and recovery scenarios

  5. 05

    Derived the marketing strategy implications

Value created

$20MM

revenue growth

  • Forecast showed 2021 volume falling after a large 2020 increase

  • The category was moving fast to e-commerce — the client needed a strong e-commerce strategy

  • Growth depended on keeping the new buyers who entered the category that year

  • A stronger marketing plan was needed to build brands and attract consumers

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