Project-driven, seasonal demand, bulky stock and volatile commodity prices make building-materials inventory hard to hold well. DemandIntel plans across your branches on your own data, deterministically.
Building-materials demand is lumpy and project-driven, swings with the construction season and weather, and sits in bulky, space-hungry stock that is expensive to over-hold. On top of that, steel, aluminium, resin and lumber prices move with commodity and tariff markets.
Hold too much against a slow season and cash and yard space are frozen; hold too little and you miss a project. A moving average handles none of these cleanly.
Demand arrives in project-sized bursts, not a smooth trend a simple average can follow.
Volumes rise and fall with the building season. The buffer has to flex with it, not lag it.
Materials are space-hungry and expensive to over-hold. Storage and handling push you to size the buffer tightly.
Steel, aluminium, resin and lumber swing with markets and tariffs. Timing and quantity of the buy matter.
Imported lines are committed well ahead of demand, so the forecast must hold over a long horizon.
Stock is spread across branches and yards; working capital and service both depend on getting each location right.
of inventory held on average by building-products firms (2023)
of building-products firms ran a working-capital funding gap
Source: McGrathNicol, Working Capital Report 2023 (Building Products).
DemandIntel forecasts seasonal and project-driven demand reproducibly and sizes buffers on real error and lead-time variability, so you hold what the season actually needs rather than a padded guess that freezes cash and yard space. Imported, long-lead lines are planned over their true horizon.
It plans per branch and re-optimizes across your network, and raw and commodity-linked lines are bought on real demand rather than market reaction. It runs on-site, beside your ERP, and every number is reproducible and auditable, a plan you can defend through a volatile season.
Reproducible forecasting models the bursts instead of smoothing them away, so the buffer reflects real project demand.
Seasonality is modelled directly, so the plan flexes with the season rather than lagging a month behind.
Commodity-linked lines are planned on real demand and lead time, so you buy the right quantity instead of reacting to the market.
It plans per location and re-optimizes across the network, so cash and service are right at each branch, not just in aggregate.
Picture your next S&OP meeting: one number on screen that nobody argues with. See it free, on your own data, in 45 minutes; and if it does not hold up, we part as friends.