Location: Montreal
Company Size: 50 employees
Revenue: Over $12 million in 2023
Industry: Manufacturing
Problem to solve
An eco-friendly paper manufacturer based in Montreal faced significant challenges with their order entry process. Their manual system was prone to frequent errors, leading to incorrect orders and dissatisfied customers. The manufacturer also struggled with inaccurate inventory management, which created further complications. They lacked a real-time inventory management system, resulting in miscommunications about product availability and delivery times.
MELUS Suggested Solution
Melus initiated a comprehensive evaluation of the manufacturer’s systems and workflows. During this assessment, it was revealed that the actual lead time for fulfilling orders was 24 days. This was a critical finding, as the company had been promising customers a delivery time of only 10 days. The discrepancy was primarily due to the unavailability of raw materials, which caused delays and inaccurate sales quotes.
To resolve these issues, Melus implemented Odoo, an integrated software solution designed to streamline order entry and inventory management. This system automated the process of converting data from emails and website forms into sales quotes, significantly reducing manual errors. Additionally, Odoo provided real-time inventory management, enabling salespeople to verify product availability and accurate lead times before confirming orders with customers.
This new system also brought significant benefits to the production team. With accurate inventory data and predictable lead times, the team could better manage production schedules and reduce the need for last-minute rush orders to meet unrealistic deadlines set by sales.
Outcome
The
implementation of Odoo transformed the manufacturer’s operations. The automated
order entry process drastically reduced errors, leading to improved customer satisfaction.
Real-time inventory management ensured accurate communication of product
availability and delivery times, aligning customer expectations with actual
capabilities. The production team experienced smoother workflows and greater
predictability, allowing for more efficient production planning. Overall, the
manufacturer saw a significant improvement in operational efficiency, customer
satisfaction, and ultimately, business performance.