
Allocation follows the predictable corridor. By the time a volatile route stabilises, the orders have already moved.
Issue 4 · Strategy Series
The Corridor Problem
A series on logistics, allocation, and India’s manufacturing future
Capacity vs. Allocation
Capacity is what you own. Allocation is what you are given. In high-tech manufacturing, having the machines, the yield, and the labour is only half the requirement. Scale is a function of sustained allocation. When delivery turns probabilistic, the buyer shifts volume to suppliers that can deliver on time. A factory doesn’t lose its capacity first—it loses its relevance.
Contract loss shows up as reassignment.
As shipping lanes turn variable, buyers reallocate volume without waiting or sending a termination notice. In high-precision electronics, the transition from primary to secondary supplier begins before procurement intervenes. India is losing allocation.
The Silent Switch
The erosion of industrial scale is an invisible process. It doesn’t look like a closed factory gate; it looks like a 15% reduction in next month’s purchase order.
Global buyers run split-sourcing models. Delivery variance is tracked across every node in real time. If the India-to-Europe corridor moves from a 16-day certainty to a 31-day gamble, the shift occurs inside the buyer’s risk management algorithm. Allocation shifts before the phone rings.
Allocation Logic
The loss of a contract is a compounding decay that follows three observable stages:
The Share Hit
You miss a delivery window or hit a 2–3% insurance spike that makes your pricing variable. The buyer moves a portion of the next order to a more stable corridor to de-risk. You lose share.
The Priority Hit
If the transit variance continues into a second cycle, the alternative supplier is promoted to “Primary” status. The original factory becomes a buffer option, losing its priority in the supply chain.
The Exit
After a third cycle of variance, you are no longer allocated work. Capacity remains. Yields may hold at 99%. The asset has already lost relevance—the buyer has re-anchored elsewhere.
Predictability Physics
Factories follow predictability, not cost.
A slightly higher-cost factory on a 12-day predictable corridor will consistently beat a low-cost factory on an unstable 31-day route. The cost of a missed delivery—penalties, inventory backups, retail stock-outs—outweighs unit-cost savings.
The Unstable Path
16–31 days
Variable war risk premiums · Probabilistic arrival · Allocation at risk
The Stable Path
10–14 days
Fixed transit costs · High arrival certainty · Allocation consolidates here
Contracts follow the lowest-variance corridor. By the time a volatile corridor stabilises, the allocation has already solidified elsewhere.
The Stranded Asset
Stranded capacity is the primary risk of corridor instability. Industrial scale runs on high utilisation. You cannot build industrial scale on orders that shift every cycle. PLI 2.0 builds the machines, but it cannot force a buyer to assign the contract. Without a reliable corridor, the factory degrades into a set of underutilised assets without allocation.
Weighted Sourcing
Buyers re-weight relationships based on performance. High delivery variance causes share to drop to zero regardless of the initial agreement.
The Variance Cost
A 5-day variance is more expensive than a 5% price increase at scale. Uncertainty is the primary driver of procurement shifts.
Irreversible Re-anchoring
Once a contract compounds into an alternative corridor, it rarely returns. Capability compounds wherever the allocation lands.
Contracts move first. Factories follow.
By then, capacity is already stranded.
The Corridor Problem — 4-Part Series
A series on logistics, allocation, and India’s manufacturing future
← Part 1
The 2–3% That Broke PLI Math
How freight volatility consumed India’s export margin
Part 3 →
Coming soon
The next piece in the series
