Organization:
A key furniture producer and seller in the UK
Goal:
Our client was seeking to streamline and enhance operational efficiency through Robotic Process Automation
Results
95% process automation
16x faster manual handling time
0% human error in terms of price book updates
The furniture company found itself in a situation where it had initially opted for a high-end RPA platform from a top-tier vendor, filled with premium features and capabilities. As time went on, however, the client discovered that the substantial upfront investment in the expensive licensing fees did not align with the returns being generated. In light of this, the furniture market leader turned to IBA Group, looking for a more feasible and effective solution that would not only offer value for money but also ensure that the automation would truly deliver the desired benefits.
To address these challenges, IBA Group’s team of experts initiated a systematic approach. A dedicated Business Analyst meticulously evaluated the process to determine potential implementation costs. A preliminary budget was calculated, factoring in potential risks that might impact the project’s scope and timeline. After gaining access to the client’s internal system, IBA Group embarked on an implementation journey based on a ‘time & materials’ (T&M) model. This approach enabled IBA Group to optimize resource allocation and adapt to any emerging changes or requirements.
The implementation phase focused on developing the automation process. Notably, IBA Group adopted a unique approach — development costs were linked to the complexity of the working process rather than the number of robots involved. This approach provided a clear cost structure that accurately reflected the effort expended. Furthermore, IBA Group ensured seamless integration of the automated process into the client’s environment, eliminating the need for additional licenses post-launch.
Employees:
The successful implementation of the RPA solution yielded significant results:
95% process automation, 16x faster manual handling time, and 0% human error in terms of price book updates.