Pricelock, Inc.

Brian P Reed

Scott Painter

Gary A Magnuson

Robert M Fell

Michael R Bonsignore

Thomas D Gros

Disclosed are a method and system for determining a retail price for a commodity within a geographic boundary. Retail prices for the commodity may be obtained from various sources, such as observers, third-party reporting, transactional data, and self-reporting. The retail price for each source may be analyzed to determine a risk factor. The retail prices from all sources associated with a location may be compared to determine a composite retail price for the location. The retail prices for all the locations within the geographic boundary may be analyzed to generate an aggregate composite price for the commodity within the geographic boundary. The analysis may include using a weighted formula. The analysis may include a volume proxy.

System and method of determining a retail commodity price within a geographic boundary

Systems and methods for the provisioning of price protection contracts which provide price protection against adverse fluctuations in the retail price of a commodity to a consumer are disclosed. While these price protection contracts may pertain to almost any type of commodity, certain embodiments of the present invention may provide systems and method for allowing a consumer to obtain price protection on the purchase of fuel. Specifically, embodiments of the present invention may provide the ability for fleet managers to obtain a price protection contract for the purchase of fuel where the price protection contract specifies at least one lock price, quantity, locale and time period such that the price protection contract may guarantee the right to aggregately purchase the quantity of fuel in the locale at the lock price during the time period.

Method and system for providing price protection for commodity purchasing through price protection contracts

Embodiments disclosed herein provide price protection on commodity purchases in which a consumer can select, accept, or otherwise agree to a depletion constraint on the consumption of the commodity thus purchased. Based on the agreed depletion constraint, a provider may adjust terms and/or the price of the price protection. In some embodiments, the depletion constraint can be time-based, quantity-based, value-based, or a combination thereof. In some embodiments, the depletion constraint can be linear. In some embodiments, a consumer may be required to purchase a certain amount of the commodity during a specified time frame. In some embodiments, the provider of the price protection may receive a payment from the consumer when the retail price of the commodity at the time of the purchase is below a specified floor price. In some embodiments, the commodity is motor fuel.

System and method for constraining depletion amount in a defined time frame

Systems and methods for providing an insurance premium in association with an insurance strike price for a commodity are disclosed. By paying the insurance premium a consumer may obtain price protection for a commodity purchase. In particular, in one embodiment a consumer may obtain the right to be reimbursed for any amount paid over the insurance strike price for the commodity.

System and method for providing an insurance premium for price protection

Embodiments disclosed herein provide a new way to generate estimated forward retail prices for a retail commodity within a geographic boundary that represents a target market. Using estimates for local retail prices, combined with knowledge of current and historical wholesale prices, embodiments disclosed herein enable the creation of a forward estimate of retail prices on fuels for a specific location, time period, and fuel grade. In some embodiment, the process of creating a forward estimate of retail prices on fuels comprises performing a predictive modeling utilizing wholesale gasoline prices, rack markup, retail markup, and taxes on a location, time period, and fuel grade basis. In some cases, the estimated forward retail prices thus generated can be used in a pricing model for price protection services for that retail commodity in that target market.

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Southlake, TX, United States of America

Brian P Reed