Spryker Manufacturing Aftermarket Portal on AWS powered by MHP

In an effort to unlock potential revenue streams many manufacturing companies have created siloed go-to-market channels without a unified E2E customer experience. In addition, a lack of digitization has led to missing automation and process inefficiencies, all of which have resulted in rising service costs and a poor customer experience over time. For this Spryker offers a customer-centric single source of truth to connect internal and external touchpoints along the customer journey into a holistic experience. MHP, as the leading consulting company in automotive and manufacturing brings its industry expertise to adapt the solution perfectly for the customers, integrate it into the ecosystem and ensure the most seamless customer experience.

To access the full potential in aftersales, the following growth areas have been identified:

• Unified Transactional After-Sales Ecosystem: Connect dealerships, workshops, sellers, distributors, service, and logistic providers on one interactive portal. This makes managing your business easier and streamlines customer service, allowing customers to book service appointments, purchase third-party equipment, or directly buy spare parts and services from distributors.
• Customer-Centric Self-Service Portal & Guided Selling: Consolidate all after-sales process information and services into a real-time, digital self-service portal. Support the full customer lifecycle with a one-stop shop that offers complete visibility into all business relationship elements, including commerce capabilities like a digital garage, dynamic pricing, and visual commerce.
• Bundled Offerings and IoT-Based Subscriptions: Use connected, data-driven solutions for timely and automated replenishment of consumables, preventing empty warehouses and machine failures with intelligent IoT solutions and predictive algorithms.
• Cost Efficiency with Order Process Automation: Boost cost-effectiveness of B2B order process automation using Order Management (State Machine) to determine the optimal automation for shipping orders based on delivery speed, cost, and carbon output while integrating third-party systems.