Forecast and re-forecast your stock's value with confidence

Set and manage the risk position on your vehicles throughout the duration of a leasing contract.

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Accurate forecasting

Set risk positions at the start of every contract – avoid expensive surprises.

Easy reforecasting

Assess and revise your end-of-contract values – including optional equipment – from anywhere.

Precise valuations

Access up-to-date market valuations at the end of the contract – make profitable remarketing decisions.

Forecast API

Determine realistic residual values at the start of a contract with accurate forecasts to improve your margins and reduce the financial risks for your fleet:

  • New carsUp to six years. 250,000 miles
  • Used carsUp to six years. Maximum asset age of 10 years/up to 250,000 miles
  • New LCVsUp to six years. 350,000 miles
  • Used LCVsUp to six years. Maximum asset age of 10 years/up to 350,000 miles  

     

At a glance

  • Independent and verifiable benchmark tool to accurately forecast residual values​
  • Carefully curated by leading automotive experts from data analysts to editorial staff​
  • Single, intuitive platform. Fully integrated valuation and forecast solution

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Bulk Re-forecast Data Feed

Perform inventory assessments any time from any device, leveraging industry-leading data to identify, analyse and manage potential risk at every stage.

  • Calculate precise valuations, including depreciation of genuine optional extras​
  • Set parameters for the depreciation of special equipment – for example marketability – individually and in line with the market​
  • Generate up-to-date valuations and forecasts to remain compliant

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Why forecasting professionals trust our data

We benchmark our figures against local market observations like inflation, supply shortages and regulations – providing reliable valuation and forecasting data.

Discover what else makes Autovista the right choice for forecasting professionals.


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Please note we are unable to respond to requests from private individuals about vehicle valuations.

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Please note that we can offer our products and services to business customers only. A Glass’s employee will contact you personally and give you a free trial access to our services. The processing of your personal data is based on Article 6 paragraph 1 point b) and point f) GDPR as described in the Glass’s Privacy Policy. We are entitled to send you information about our own similar goods and services to the e-mail address you provided. You can object to this use of your e-mail address at any time free of charge except for the costs of the transmission of the refusal. More information about the processing of your personal data can be found in the Glass’s Privacy Policy.

How Glass’s forecast data is used

Fleet

Fleet operators always want to stock vehicles with strong residual values – both absolute and %RVs. This is to ensure they’ve got vehicles with high remarketing potential to maintain a healthy business model. 

Forecast acts as an independent, verifiable benchmark tool – allowing fleet companies to accurately forecast values and ensure they’re choosing the most profitable vehicles. Fleet operators can also reliably forecast de-fleet rates to increase a vehicle’s resale value. 

Leasing

Leasing and car hire companies must set competitive rates to ensure they’re never exposed to financial risk. Similar to fleet operators, leasing companies look to stock vehicles that maintain strong residual values throughout the duration of a contract. 

Leasing and car hire companies can use Forecast to see how vehicles will perform on the residual value front, to make more profitable stock decisions – ensuring they’re on top of a highly fluctuating market and remain competitive. 

Finance

Finance providers always need to set accurate PCP/PCH offerings to avoid negative positions at end-of-leasing terms.

With its broad coverage and accuracy, Forecast can help finance companies make more informed underwriting decisions to avoid any potential financial pitfalls that come with market uncertainty among other factors.

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