Given the increase in electronic content in cars, Automotive companies must be able to connect and collaborate with suppliers in real-time, a challenge E2open has been addressing for years.

Automotive manufacturers are faced with complicated supply and demand planning challenges – from customizable order options to expanding sales lines to high levels of competition from new, non-traditional entrants. In order to respond to these pressures, automotive companies need a deeper understanding of customer demand to maximize assets and finished goods inventory. By rethinking existing, siloed processes and developing new ones that anticipate demand, companies are able to react more quickly to the unexpected. 

E2open works with leading automotive companies to help them better connect with suppliers and respond to changing regional and global customer demand. 

Some of the largest automotive companies in the world have partnered with E2open to support their global growth initiatives. They are leveraging the E2open network and supply chain solutions to operate their multi-enterprise supply chain in real-time, helping deliver more accurate forecasting. 

"Challenge" Label
Challenge
"Solution" Label
Solution
Challenge
Running a global supply chain, with multiple tiers of supply chain partners
Solution
E2open Network - Connectivity to connect all supply chain partners in real-time

Challenge
Streamlining procurement processes across many partners and/or subsidiaries
Solution
Procure to Pay to replace manual or email-based procurement processes with an electronic procure-to-pay process
Spend consolidation all the way to a fully centralized Buy/Sell Order Management procurement model
Challenge
Ensuring the delivery schedule will be met
Solution
Forecast Collaboration to exchange forecasts and commits with suppliers and contract manufacturers
Quality Collaboration to ensure the exchange of critical quality information and the detection of non-conformance exceptions with suppliers
Inbound Vendor Managed Inventory to enable various replenishment models with suppliers
Challenge
Dealing with unpredictable demand
Solution
Demand Sensing to accurately predict near-term demand by using machine learning algorithms to analyze current information that better reflects market realities across different channels
Demand Planning that leverages advanced pattern recognition to create more accurate long-term forecasts and automate the planning process to improve planner productivity
SalesSight to make it easier for sales teams to provide inputs into the demand planning process through CRM integration and analytics for meaningful insights
Inventory Optimization to best position inventory for optimal service levels
Challenge
Ensuring that decisions made in mid- to long-term will enable profitable and streamlined execution
Solution
Sales & Operations Planning for making decisions jointly with internal functions (such as, sales, operations and finance) and external partners (customers, contract manufacturers, and the like), on mid- to long-term actions for operating profitably and avoiding risk, through scenario building and analytics
Sales & Operations Execution to proactively close near-term gaps in demand/supply and make better trade-off decisions
Challenge
Responding to demand and supply changes as they occur in real-time
Solution
Constraint-based Supply Planning to automatically generate a best feasible plan that optimally balances supply and demand and maximizes customer service level, with scenario planning/what-if analysis
Challenge
Ensuring efficient repairs and returns
Solution
Return and Repair solution to handle supply chain activities for returned products