-д хадгалсан:
| Үндсэн зохиолч: | |
|---|---|
| Формат: | Recurso digital |
| Хэл сонгох: | |
| Хэвлэсэн: |
Zenodo
2026
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| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.5281/zenodo.19213313 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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Агуулга:
- Dynamic pricing systems in logistics have largely borrowed from ride-hailing models designed for urban, short-distance, low-variable-cost environments. These models apply a single surge multiplier to a base fare and treat all vehicles as functionally equivalent. The Indian road freight market invalidates each of these assumptions. India's 14 million commercial trucks operate across a 6.5 million km road network with extreme route diversity, a vehicle mix ranging from 800 kg mini-trucks to 40-tonne trailers with fuel consumption ratios of 1:5.6, and demand patterns dominated by 15+ culturally significant festivals that create predictable but sharp regional supply-demand dislocations. This paper presents the WowTruck Dynamic Pricing Engine, a real-time freight rate optimization system incorporating 17 pricing factors organized across five subsystems: a five-level surge multiplier calibrated to Indian demand elasticity, a festival calendar module covering 15+ festivals with 7-day advance prediction and state-level regional resolution, a vehicle-specific fuel consumption profile linked to live diesel price feeds, a route difficulty premium matrix classifying four Indian road terrain categories, and a 30-day rolling competitor benchmarking loop with win-rate feedback. We describe the implementation architecture, the composite pricing formula, and the market coverage implications. The system represents a materially different class of freight pricing from existing prior art in ride-hailing surge systems, static rate cards, and enterprise TMS platforms such as SAP Transportation Management and Oracle OTM, none of which incorporate festival-driven demand prediction or India-specific vehicle fuel profiles.