CASE STUDY
How Dyer Engineering Eliminated Cross-Departmental Bottlenecks with Natural Language Querying of ERP Data
Dyer Engineering is a Group of fabrication and machining businesses manufacturing metal components and structures. They also provide maintenance, repair and overhaul support services to keep equipment, facilities and processes running. When their purchasing team needed to improve visibility of their orders, efficiently query inventory and ERP data, and resolve cross-department bottlenecks, they turned to Kavida.
Industry
Automotive
Manufacturer size
51 - 200
Location
Co Durham, United Kingdom
Website
The Challenges
Dyer Engineering has a purchasing team of 10 members managing 100+ active suppliers with 100+ active orders. They faced significant challenges due to the complexity of their ERP system, which provided limited visibility on inventory and a lack of actionable insights on active orders, while also struggling with internal collaboration bottlenecks, which led to costly inefficiencies.
- Complex ERP Navigation to Identify Order Data
The ERP system was difficult to navigate, requiring significant time and training. This complexity made it challenging for the team to efficiently manage and retrieve data, delaying critical decision-making processes. - Limited Order Visibility on Materials & Stock
Dyer’s purchasing team struggled with poor visibility on what materials were currently in stock, what was incoming, and the status of open purchase orders. The process of data analysis to get actionable insights also involved navigating through multiple ERP screens and manipulating spreadsheets, which was time-consuming. - Cross-Departmental Bottlenecks
Production teams relied heavily on procurement for order visibility and data. This dependency created significant internal communication bottlenecks, as procurement had poor order visibility, leading to further delays in decision-making and collaboration, ultimately increasing the risk of task-switching if materials were not available as planned. If task switching was not possible, downtime was inevitable.
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Richard Larder
Business Improvement Director
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Excepturi dicta explicabo eos omnis ut eos expedita totam repellendus. Perferendis perferendis.”
Richard Larder
Business Improvement Director
Solution
Dyer needed an efficient post PO management solution to improve order visibility, get actionable insights from their ERP data and enable better collaboration between departments. That’s where Kavida stepped in.
- Querying ERP Data Using Natural Language
Kavida integrated with Dyer’s ERP system to allow internal teams to make data around active orders easily accessible in seconds, cutting down the time-consuming process of navigating through multiple ERP screens and manipulating formulas on spreadsheets to get the information they need. - Real-Time Insights to Ensure Material Availability
The platform provides real-time data on orders and inventory, enabling purchasing teams to make faster decisions. Team members could easily ask Agent PO’s Copilot questions like, “What is the current status of order X?” or “When is 30mm steel plates coming in?”, and instantly receive the answer. - Instant Order Visibility for Production Planning
Internal stakeholders can now interact with Agent PO’s Copilot using queries in natural language, reducing back-and-forth communication required and preventing any interruptions to purchasing workflows.
Quantifying The Value Created
Platform usage
- £X M in order value managed on the platform.
- Managed X order lines
- X automated communications and responses.
- Received X documents
- X Copilot queries.
Productivity
- X automated processes [Process A, Process B etc ]
- X procurement hours saved due to automation
Visibility
- X order lines with end-to-end visibility
- X order risk alerts
- X shipments tracked
Business value
- £X time value saved
- £X reduced cost of manufacturing downtime
- £X reduced cost of risk and delays
