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Equipment Life has become the leading provider of machinery intelligence on the market. Our database contains information and data on more than 176,000 heavy machinery models and provides evaluation of used machines through our online tools and digital solutions. At Equipment Life, we know heavy equipment specification data and we know it well. This is particularly important for companies that have equipment fleets in their books or sell machinery. Specification data becomes increasingly important with larger asset parks. Thus construction, agricultural companies, banks, leasing companies, and other asset holding companies including rental companies and auction houses dealing with the rental or sale of heavy equipment fleets. Determining and monitoring the current price of the machine based on its usage as well as the prognosticated future value of equipment are the most coining questions for companies to answer and calculation-wise pinpoint when striving for a data-supported optimization, thus increasing profitability and circularity.
With Equipment Life’s Spec Database, we use hard reliable data to promote your manufacturer's brands & machinery more effectively and boost equipment & parts sales. Our valuation tools give you the edge needed to improve sales.
We offer state-of-the-art data standardization & analysis for your company's fleet portfolio. Unstructured machinery data is impossible to analyze properly and limits the possibility of being turned into real insights that you can use in your internal sales systems.
Most in-house sales databases are individually created, named, and compiled, which results in a specific “handwriting” of your collected data, a challenge that usually results in endless manual work. Everybody is familiar with cases like:
Our database streamlines the make, model & year to ensure clean specification data to standardize and cleanse your existing specification data set with a valid taxonomy.
Equipment Life has been normalizing specification data across multiple industries from Construction Equipment and Transportation Companies to Agriculture Equipment with over 1,500 manufacturers globally.
Every level of your equipment directory is not only defined by clear terminology but also with an ID structure throughout the whole granularity which
allows the standardization of machinery models, manufacturers, and categories & make specifications, dimensions of evaluations, aggregations, comparisons, and insights for your fleet and portfolio by adding to the inventory directory the classification parameters and other technical specifications.
Here is how Equipment Life Asset Catalogue and Standardized Taxonomy could work for you:
Utilize our extensive data to boost profitability with the advantage of being able to analyze, manage & capitalize on your equipment portfolio. Let AgEquipLife improve your machinery database with millions of up-to-date details for over 160,000 heavy equipment models from our own. We will identify your assets and then add to them the information we store in our database, making it possible for you to analyze them retrospectively and more comprehensively. Long story short, our Data enriching service will turn any basic dataset into a lot more:
Equipment Life API integrates in real-time with third-party systems and tools. Our data processes your information that through our API can be integrated (front/back end) into your company’s internal systems.
Equipment Life's API integrates in real-time with third-party systems and tools. Our data processes your information that through API can be integrated both on the front & back end of your company’s internal systems.
Specialized transport of equipment can be an overly complicated process, that is where our specification database comes in. We take the guesswork out of the height & weight of the equipment being transported and determine if an oversized or overweight permit is needed. We can seamlessly integrate our database into your system utilizing our API Key to take the man hours out of heavy equipment hauling.
Leverage the true residual value of the heavy equipment you are financing. Having all possible reference data on equipment before making the right financing decision is not enough. You need to make sure that it can be trusted – to understand where it comes from and how it can be used so that you arrive at the right current and residual value for your finance business.
Equipment Life provides leasing companies and banks all over the world with more accurate value lines; delivers both
Equipment Life Valuation Tools will help you find out the correct information about the pricing situation and value development of the equipment you are financing through identified and validated data points that are obtained by collecting, standardizing, and cleansing enormous amounts of data from various sources, and then comparing them in the right context and the inclusion of your individual “data experience”.
Equipment Life Valuation Tools will help you find out the correct information about the pricing situation and value development of the equipment you are financing through identified and validated data points that are obtained by collecting, standardizing, and cleansing enormous amounts of data from various sources, and then comparing them in the right context and the inclusion of your individual “data experience”.
Easily gain the data needed to make educated decisions about the equipment you are insuring. This is particularly important for insurance companies that have equipment fleets insured on their books or trade machinery. This starts at a smaller scale but becomes increasingly important with larger asset parks. Determining and monitoring the current specifications & price of the machine based on its usage as well as the prognosticated future value of equipment are the most coining questions for companies to answer (and calculation-wise pinpoint) when striving for a data-supported optimization, thus increasing profitability and circularity.
To be an agile, multi-service, industry-agnostic, digital marketing agency with insane retention rates.
Our team collaborates with clients in North America and Internationally from our headquarters in the United States.
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