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AI-based forecasting and scenario planning

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In an era of fickle markets, volatile supply chains, and evolving customer expectations, the cost of missing the mark is staggering— 20–30% in slashed sales!

The past year saw many automotive OEMs lose out on revenues due to forecasting errors. European OEMs lost millions to Chinese competitors by underestimating EV demand. Recently, a semiconductor shortage drained $210 billion from the industry, leaving unfinished cars and slashed production targets.

Don’t let macroeconomic uncertainties alter your bottom line.

Leverage our AI-based forecasting and scenario planning accelerator to anticipate accurate demand, optimize inventory, and ensure financial predictability with operational agility.

Enabling OEMs with robust forecasting

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Improve customer experience

Increase market responsiveness and enable better demand fulfilment. Reduce waiting times and stockouts through improved demand prediction.

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Boost operational efficiency

Reduce inefficiencies in inventory planning and enable sustainable supply-chain management. Optimize assortment via streamlined forecasting of leaner volumes.

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Maximize financial performance

Balance cash flow planning and reserve management for higher working capital efficiency. Enhance profit margins by minimizing budgetary unpredictability.

Tackling automotive industry’s forecasting needs

Forcastra AI is an ML-powered solution that uses deep learning techniques  to manage the movement of hundred of vehicle variants and thousands of part SKUs to deliver forecasts. It utilizes time series datasets enhanced with multiple qualitative data sources to achieve high precision. Insights from Forcastra AI can reduce uncertainty, lower excess costs, and improve resource allocation for OEMs.

 

Scenario planning and simulation for proactive decision making

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Gen AI integration with natural language interfaces for high accessibility

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Modular machine learning/deep learning for faster implementations

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Powering business critical forecasting solutions across the automotive value chain

1. Dealer sales green

Dealer sales forecast
  • Improve vehicle allocation with dealership-level sales trends 
  • Improve dealer performance visibility
  • Enhance sales and marketing strategy
  • Increase alignment between stock and market demand

2. Vehicle demand green

Vehicle demand forecast
  • Minimize production overages and stockouts
  • Better market responsiveness
  • Improve production efficiency
  • Improve customer sales experience

3. Warranty claims green

Warranty claims forecast
  • Reduce unexpected service costs
  • Prepare service centres for recalls or high service loads
  • Minimize financial unpredictability
  • Improve resource allocation and manage financial reserves effectively

4. Inventory optimization green

Inventory optimization
  • Gain forecasts across the supply chain that prevent overstocking and shortages
  • Lower inventory holding costs and boost inventory turnover
  • Improve cash flow

5. Serviceable parts green

Serviceable parts forecast
  • Ensure optimal stock levels 
  • Reduce service delays and disruptions
  • Enhance customer satisfaction through faster service

6. Predictive maintenance green

Predictive maintenance
  • Forecast component failures to reduce service time
  • Reduce unplanned vehicle downtime
  • Lesser unexpected repairs
  • Increase vehicle LTV

success stories

Transforming inventory forecasting for an Asian automaker

A leading Asian OEM faced challenges managing a vast catalogue of spare parts and accessories distributed through a broad network of workshops, retailers, and service centres. Excess inventory and parts obsolescence were key pain points. We partnered with them to develop an advanced forecasting system powered by Forcastra AI. By analysing demand patterns, seasonality, regional trends, and historical sales data, the model improved forecasting accuracy. The result? Reduced inventory costs, streamlined supply chain operations, optimized resource allocation, and timely parts availability for customers.

Nagarro forcasting for OEMS

Enabling savings of 0.5M SAR annually for an automotive distributor

A leading automotive distributor in the MENAT region wanted to reinvent their sales forecasting model. We partnered with them to create a sales forecasting model for vehicle accessories and spare parts aligned with their sales campaign. We used an ML model developed on Forcastra AI to enable SKU forecasting with 93% accuracy. They witnessed a streamlined order process, reduced inventory, non-moving stock and scrap rate, enabling a recurring potential saving of 0.5 M SAR annually. 
 
Nagarro Forcasting for sales
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Improve your forecasting precision with Nagarro