Industries

The math generalizes. The constraints do not.

A routing model that ignores driver hours is wrong. So is an inventory model that ignores shelf life, or a network model that ignores validated sites. Most of the work in any engagement is getting the constraints right.

Consumer Packaged Goods

High volume, thin margins, and retail customers whose compliance programs turn a late truck into a chargeback.

Pressures we see

Promotional volatility that swamps the base forecast
Retailer on time in full penalties with unforgiving windows
Long tail assortments carrying disproportionate inventory

Where we help

Promotion aware demand forecasting and lift decomposition
Distribution network redesign around retailer delivery windows
Multi-echelon inventory targets by customer service tier

Retail and E-Commerce

Omnichannel fulfillment where the same unit can be picked, shipped, or sold in store, and the cheapest choice changes hourly.

Pressures we see

Fulfillment cost per order rising faster than basket value
Inventory split across channels that cannot see each other
Peak season capacity decided months before demand is known

Where we help

Fulfillment node selection and order routing logic
Peak season simulation and labor sizing
Store and DC inventory allocation and rebalancing

Industrial Manufacturing

Deep bills of material, long lead time components, and a plant schedule that is expensive to disturb.

Pressures we see

Component lead times that move faster than the planning cycle
Capacity constraints discovered after the commitment is made
Aftermarket parts demand that is intermittent by nature

Where we help

Constraint based supply review inside the planning cycle
Intermittent demand forecasting for service parts
Production line simulation and changeover analysis

Life Sciences and Pharma

Cold chain integrity, serialization, and validated processes where the cost of a stockout is not measured in dollars alone.

Pressures we see

Regulatory constraints on sourcing and network changes
Temperature excursion risk across long international lanes
Expiry driven write-offs on slow moving finished goods

Where we help

Cold chain lane risk modeling and mode selection
Shelf life aware inventory positioning
Network design under regulatory and validation constraints

Food and Beverage

Perishability, seasonality, and a delivery network that runs every day regardless of what the plan said.

Pressures we see

Shelf life limiting how far and how early product can move
Weather and seasonality driving sharp short horizon swings
Direct store delivery routes with tight windows and returns

Where we help

Daily route optimization with time windows and driver hours
Short horizon forecasting with weather and calendar effects
Production and distribution planning under shelf life limits

Distribution and 3PL

Service commitments made to other companies, on assets you have to keep utilized to make the economics work.

Pressures we see

Contract terms priced before the volume profile is understood
Shared warehouse capacity across clients with different peaks
Labor availability constraining throughput more than equipment

Where we help

Warehouse simulation for client onboarding and capacity fit
Cost to serve modeling by client, site, and activity
Consolidation and pool distribution design across accounts

Not on the list

Industry experience matters less than you might expect.

A capacitated facility location problem has the same structure whether it is moving pallets of soda or surgical kits. What changes is the constraint set, and constraints are learned from your operators in the first two weeks regardless of how many similar companies we have worked with.

We ask about your industry to know which questions to ask, not to reuse a template. If your sector is not listed, the honest answer is that it probably makes little difference to whether the model will work.

Next step

Tell us which constraint is the hard one.

That single detail usually tells us more about the engagement than the industry label does.

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