Seasonal and Intermittent Demand
Planning approaches for items that do not follow a smooth daily or weekly usage pattern.
What this means in practice
Seasonal and intermittent items can look inactive for long periods and then experience concentrated demand. Simple averages may therefore hide the timing and size of actual requirements.
The useful question is not merely whether a quantity appears in a report. It is whether the quantity is correctly identified, in the right location and unit, in an approved status, and available at the time it is needed. Good material management makes those assumptions visible.
Information worth recording
A simple worksheet can be more reliable than a complicated report when the underlying assumptions are clear. Record at least the following:
- season or event dates
- historic demand by comparable period
- one-time projects and known commitments
- supplier shutdowns or transport constraints
- returns or leftover stock from the previous season
Use one consistent time period and unit of measure. When information is uncertain, show it as an assumption or possible future supply instead of quietly treating it as confirmed.
A practical control sequence
- 1Separate regular, seasonal and one-time demand.
- 2Review comparable periods rather than only annual averages.
- 3Record the assumptions behind special buys.
- 4Plan an exit for leftovers, returns or redeployment.
- 5Compare the forecast with actual results after the season.
The sequence matters. Recording a balance correction without first checking the transaction, location, status and unit can make the report look cleaner while leaving the underlying process failure untouched.
Example
A retailer may sell almost all of a seasonal item in six weeks. A maintenance organization may use a specialized consumable only during an annual inspection program. Both require timing-based planning.
The example is deliberately simplified. Real operations may have multiple locations, ownership rules, quality statuses, open commitments, repair loops and system interfaces.
Common failure points
- buying from annual averages that erase peaks
- counting last season’s damaged leftovers as usable
- placing a large order without a disposal or transfer plan
- assuming a past peak will repeat unchanged
Repeated errors deserve more attention than one isolated difference. Patterns by item, supplier, location, user, shift, pack size or transaction type can point to a correctable cause.
Limits and professional boundaries
Forecasts are uncertain. Use scenarios and documented assumptions rather than false precision.
This page provides general educational information. It is not an inventory policy, audit opinion, engineering instruction, procurement rule, accounting method, tax treatment, safety procedure, legal interpretation or authorization to handle, transport, repair, issue or dispose of material.