Client
With a solid track record in the automotive industry, the client has built a respected reputation as a mid-sized manufacturer of urban buses. Their buses are known for their reliability and quality, making them a preferred choice in several European countries.
Although not one of the largest manufacturers, their consistent product performance has allowed them to carve out a niche in the market. Many of their customers return due to the dependable nature of their vehicles, contributing to steady growth and a loyal client base.
The Problem
The client has perfected a manufacturing process that consistently delivers high-quality products. However, despite their efforts to expand, they have not seen significant growth in market share or sales. At one point, they increased production but found that quality suffered, leading them to revert to their usual output.
While there is demand for their buses, the client chooses not to scale up production, prioritizing quality over quantity to maintain their reputation. To address these challenges, the client approached the GenesisNGN team for a tailored digital solution. They sought a way to increase production without sacrificing quality, enabling them to meet the growing demand for their buses and expand their market share.
The Research
The GenesisNGN team conducted a detailed review of the client’s manufacturing process and operations. They identified two key issues holding back growth: inefficiencies in the supply chain leading to delayed raw materials and manual quality control of raw materials. These factors limited the client’s ability to maintain their high standards while expanding output.
The Solution
To address the key challenges faced by the client, the GenesisNGN team developed a custom platform with multiple features and capabilities, accessible to all relevant stakeholders for informed decision-making and oversight. The platform, powered by AI-driven algorithms, enhances supply chain management. Key features of the platform include:
- Vendor Selection and Management: Utilizing historical data on materials and supplier performance, the platform identifies and selects reliable and trusted vendors. The system evaluates vendors based on their delivery timelines, material quality, and past performance, ensuring the procurement of high-quality raw materials.
- Real-Time Data Integration: The platform integrates real-time data from suppliers, offering a comprehensive view of inventory and supply chain dynamics. It tracks material availability, monitors delivery schedules, and manages inventory effectively. Automated alerts and proactive adjustments ensure production schedules are maintained, reducing disruptions and delays.
- Inventory Optimization: AI algorithms analyze historical data on material usage and quality, forecasting future needs and adjusting inventory levels accordingly. This optimization helps in maintaining optimal stock levels, reducing excess inventory, and minimizing shortages.
- Predictive Analytics: The platform featured a predictive analytics engine that analyzed historical data and market trends. It forecasted demand accurately and adjusted production schedules, allowing the client to scale up production efficiently without compromising quality.
- Enhanced Quality Control: The platform incorporates real-time quality monitoring using machine learning and computer vision. It leverages the client’s existing sensors, IoT infrastructure to inspect raw materials for defects, ensuring they meet high standards. Automated notifications alert stakeholders to quality issues, enabling prompt corrective actions. This approach accelerates the quality control process and ensures that only materials meeting stringent criteria are used in production.
Through these features, the platform significantly improves the timely delivery of high-quality raw materials and supports consistent production schedules, ultimately enhancing manufacturing output while maintaining high quality.
The Benefits
- Efficient Production: Streamlined supply chain and inventory management boost production efficiency.
- Consistent Quality: Enhanced quality control ensures high standards for all raw materials, maintaining product quality.
- Increased Sales: Optimized production and inventory management lead to higher sales numbers.
- Market Share Growth: Slight increase in market share due to improved production capacity and product quality.
- Accurate Forecasting: Predictive analytics align production with demand.
- Quick Issue Resolution: Automated alerts enable prompt action on quality and supply issues.
- Unified Oversight: Centralized platform improves decision-making and process visibility.
