Paper Overview
Field: ML Authors: Nan Wang, Mitchell Turiel Published: 2026-10-27 arXiv: 2610.31701
Summary
Enterprise customer journeys are shaped not only by product experiences and marketing, but also by recurring resource-allocation decisions. In B2B go-to-market (GTM) organizations, territory carving determines which accounts receive seller coverage, which seller-account relationships are preserved, and how limited field capacity is distributed. Yet the process often remains manual, making it difficult to compare opportunities, value continuity, and evaluate tradeoffs among growth, balance, capacity, and feasibility.
The authors present a production decision system for tradeoff-aware customer-to-seller allocation in enterprise GTM planning. It integrates three components:
- Multidimensional account-value layer — combines predictive signals to score opportunity.
- Observational continuity-valuation layer — estimates the cost of breaking seller-customer relationships using a synthetic-control-style counterfactual framework.
- Multi-objective optimization layer — assigns coverage to high-value accounts while accounting for continuity, opportunity balance, and operational constraints.
The key contribution is an integrated, inspectable framework that transforms territory design into a governable decision process.
Original Abstract (excerpt)
> Enterprise customer journeys are shaped not only by product experiences and marketing, but also by recurring resource-allocation decisions. In B2B go-to-market (GTM) organizations, territory carving determines which accounts receive seller coverage, which seller-account relationships are preserved, and how limited field capacity is distributed. Yet the process often remains manual, making it difficult to compare opportunities, value continuity, and evaluate tradeoffs among growth, balance, capacity, and feasibility. > We present a production decision system for tradeoff-aware customer-to-seller allocation in enterprise GTM planning. It integrates three components: a multidimensional account-value layer that combines predictive signals to score opportunity; an observational continuity-valuati...
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