Overview

Fuel Rack Management

Fuel rack management is difficult due to several challenges, beginning with the number of buyers and purchasing representatives, and the difficulty of reconciling data across different transactions.

A fuel rack is a distribution point for fuel, usually along a pipeline, and is so named because trucks do actually load at a supply rack where they buy fuel from their distributors. Not only must fuel must be moved to and stored on the rack, but fuel rack prices offer a reference point for the whole supply chain and are often held responsible for price volatility. Fuel rack transactions total around 8,000 gallons and are conducted at 1,500 terminals in nearly 400 market locations throughout the U.S.

Context & Challenges

Fuel rack management faces extra complexity due to the diversity of buyers and their purchasing representatives:

  • Distributors can pick up loads for multiple brands/customers
  • Distributors can also subcontract delivery to 3rd parties

This complexity creates a unique challenge in reconciling actual supply with corresponding nominations, allocations and invoices, which are tracked with daily averages.

This also creates the potential for fraud and counterfeiting, which can affect quality control but also has the potential to affect the rack price, which then has effects all the way down the supply chain.

The rack price is one of the key wholesale price points in the fuel supply chain. It embeds every cost and margin if supplying fuel from the terminal, inclusive of terminal fees, including blending with ethanol if necessary, the cost of additive packages, and contract premium or discounts.

Individual supply contracts can have different premiums or discounts, for example if they are branded or unbranded, which creates further complexity for distributors.

Fuel rack prices are subject to a high level of volatility, as are rack-to-retail spreads, the difference between the average bulk fuel price and retail prices at a truck stop or gas station.

Rack prices fluctuate up or down every day at 6pm, contingent on the movements of the spot market, which tends to be very volatile. Additionally, price movements and regional price swings are common within the day.

This volatility affect jobbers, retailers, and end users like trucking companies, which are the three main categories of fuel rack users. Jobbers are also known as distributors or marketers, and purchase the fuel to resell it. Jobbers have three buying options: unbranded contract, branded contract, and open rack. Each of these in turn comes with its own terms and risks.

When fuel is loaded, a “bill of lading” or "BOL" is produced, which is a receipt showing a transfer of ownership and detailing where the fuel was loaded, where it was, and the quantity. The name on the BOL incurs the liability for the fuel, meaning jobbers take on a lot of liability during the transfer of fuel and absolve the end users of this risk.

The supply chain is clearly complex and often opaque, which can drive up volatility and uncertainty around prices, creating inefficiency as a whole.

STRATO allows for the creation of an ecosystem including an application to track the status of fuel supply through its useful life, offering the below benefits:

  • A single ecosystem with unique memberships and features for producers, distributors, third parties and brands to use
  • Mobile (phone, tablet) interfaces for remote input
  • The multi-tenant blockchain database (ecosystem setup) allows for faster and simpler development of other oil & gas operation tracking (e.g. other input, labor, financing)

Solution Benefits

  • A single source of truth for fuel inventory data

  • Traceability of fuel allocation through to the distributor/owner

  • Improved visibility into rack load and anticipated volumes

  • Reduce/eliminate data entry points

  • Streamline reconciliation

Any STRATO insurance solution leverages STRATO's enterprise grade features

  • RESTful APIs for direct connection of IoT devices such as storage providers' iPads to the blockchain network

  • Identity Management, OAuth and SSO capabilities for simplified IoT authorization and user login

  • Privacy via private chains to keep data private and control who sees what data

  • Enterprise Data Modeling for integration into existing data systems, and to ensure interoperability

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