xSeil quantum formulation. Companion paper 2

Abstract. This paper reconstructs the problem structure and architecture of xSeil, a logistics planning and execution platform deployed in 2016-2017 for passenger transport in the Riviera Maya. The operating regime combined demand committed before fleet planning, fixed pickup obligations, heterogeneous vehicles, transfer options, hard seating constraints, time windows, and dense propagation effects. The surviving repository shows that xSeil did not rely on a single monolithic optimizer. It integrated data normalization and fleet readiness with an offline persistent library of feasible stop sequences, a stored route-compatibility relation, human-configured scenario scoring, state-dependent online allocation, bounded search widening, rollback and retry, dynamic route reconstruction, and destination-arrival pacing. The contribution is a code-grounded architectural account designed to support a separate quantum-formulation paper. Quantum interest arises from the system’s structured discrete spaces, native offline-online boundary, simulation and event surfaces, and explicit separation between reusable decision memory and adaptive real-time control. No quantum advantage is claimed. The paper instead identifies the conditions that any later quantum object must satisfy: a fixed instance, a precise output requirement, coherent data access, a reversible or Hamiltonian representation, and comparison against strong classical baselines.

Keywords: vehicle routing; committed demand; persistent route library; online allocation; repair and retry; hybrid architecture; quantum resource accounting