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The Xeneta Platform

Platform

Best-in-class Insights

The average time for a company to tender, negotiate, and source global shipping routes for their goods takes up to 9 months. That’s months of manual labor for logistics procurement teams.

At Xeneta, our goal is to help cut that time down with accurate and actionable data, giving shippers the time for strategic, data-driven decisions that support the company’s bottom line.

The Xeneta Platform

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Global Index

The unique strength of our platform is the Xeneta Shipping Index, the world’s largest dataset of real-time and predictive ocean and air freight rates.

The Xeneta Platform

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Complete Ecosystem

Unlike anyone else in the market, we are truly neutral, and build our index collaboratively from and for all three segments of the logistics industry: shippers, freight forwarders, and carriers.

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Join the Xeneta freight market analytics platform

Our benchmarking and market analytics platform provides the world’s largest dataset of real-time and predictive ocean and air freight rates.

Xeneta lets users understand their own logistics performance in comparison to the market, helps optimize their supply chain logistics with ideal price-to-quality rates, and ultimately helps automate their logistics procurement by binding freight contract rates to an index of global reference freight rates.

Data Management

Data Collection

Freight Rate Data Collection

The data collected from Xeneta’s broad userbase ranges from short-term to long-term rate contracts. The freight rates provided may come in various forms — some users have multiple rate updates per month, others have monthly, quarterly, annual or even two-year fixed agreements.

Requirements

Minimum Data Requirements

Xeneta gathers millions of rates per month. Before releasing any market information, a minimum of 5 rates per route, per day, per equipment type is required. This defines the basic foundation upon which Xeneta builds stronger benchmarks as additional rates are sourced. Mature trade routes (covered by extensive data collection) are made up of several hundred valid rates per day — making our index reliable and accurate.

Coverage

Xeneta Geo-Hierarchy Offers Global Data Coverage

The Xeneta Geo-Hierarchy is developed based on common market practices. Ocean freight rates contracted to and from specific areas and ports correlate strongly on price. We use the millions of price points in our database to validate the price correlation and can, as such, offer global data coverage. 

In our Geo-Hierarchy approach, we have grouped ports together based on price — not proximity — following the way the industry prices the different connections. Xeneta shows accurate pricing for exact port-to-port connections because the rate data is aggregated based on ports with similar pricing. The areas where ocean freight rate correlation is strongest is in North Europe and the Far East. Xeneta builds these areas up by Main Ports and Sub Ports, while the remaining areas are built up by geographical regions.

Sampling

Sampling

By sampling from a broad set of companies, Xeneta collects data within a statistical sample to capture tendencies in the statistical population. Utilizing sampling requires a wide selection of sources, which is the basis of Xeneta’s services. The methodology is carefully chosen for quality assurance.

Aggregation

Data Aggregation

Xeneta provides users with key statistical measurements of the market prices sourced. In this way, we can provide easy-to-understand information while at the same time ensuring the anonymity of our users' data.

Our key benchmarking metrics are Market Average, Market High, and Market Low — together giving insight into different parts of the market. The Market Average represents the arithmetic mean of all prices for a trade lane valid on a particular day. The Market Low represents the prices at the 2.5 percentile of the market, and the Market High represents the prices at the 97.5 percentile of the market.

Terms

What are Sea Freight Rates

Definition of 'Sea Freight Rates' in Xeneta: The sea freight rates imported to the system are defined as the total ocean freight cost (port-to-port), including Bunker Adjustment Factor (BAF), Currency Adjustment Factor (CAF), Canal surcharges and all other relevant surcharges within Xeneta’s port-to-port definition. 

Terminal handling charges — at the origin ports (OTHC) and destination ports (DTHC) — are applied based on the Xeneta THC methodology. Freight rate data for 20’ Dry, 20’ Reefer, 20’ Tank, 40’ Dry, 40’ HC, and 40’ Reefer HC containers accumulate in the database — and the presentation of the data is segmented on these six container types. Data pertinent to special equipment such as Flat Rack, Platform, Tank or Open Top is excluded from the database.

Antitrust

The sharing of information facilitated by Xeneta is in accordance with EU/ EEA competition law. The market information supplied by Xeneta to shippers, freight forwarders and container ship operators, does not enable market operators to reduce competition between them.

On the contrary, Xeneta provides transparency with respect to current and past prices that enables the operators, in particular customers, to understand the market price level and adapt more efficiently to the market — hence having a pro-competitive effect. The information made available by Xeneta is backward-looking, aggregated, anonymized and accessible for customers and suppliers. The type of information exchanged, and the characteristics of the markets for liner shipping, does not allow the operators to foresee strategic behavior of competitors, and does therefore not lead to collusive openings.

Legality

Xeneta operates well within competition regulations, and its services assist in increasing the transparency of a very fragmented market, enabling buyers and sellers to make informed decisions. The system safeguards that neither individual prices nor the identity of the members that upload particular information can be dissected. Xeneta does not enable customers to foresee the future market behavior of other individual users but instead enables a more efficient adaptation to market conditions.