Case Study

Next Level Performance: Automating Sales Incentives for Multipro

Client: Multi Pro Nig. Ltd

Multipro Consumer Products Limited, a leading Nigerian company with a vast sales force, struggled with manual data computation for sales performance and incentive payouts. This process was time-consuming, prone to errors, and hindered timely decision-making.

The Problem

The cumbersome manual process frustrated both the sales team and the accounting department. Inaccurate calculations led to delays in incentive payouts, impacting employee morale and potentially hindering sales performance.

Our Solution

Ulrea developed “Next Level Performance,” a web application tailored to Multipro’s specific needs. This platform automates the collection of sales targets and achievements, performs complex calculations, and generates comprehensive reports on sales performance, incentive summaries, and individual payout slips.

The Result

Results:

  • Eliminated Manual Computation: “Next Level Performance” removed the need for manual calculations, saving countless hours for both the sales and accounting teams.
  • Improved Accuracy: Automated calculations ensured accuracy in performance tracking and incentive payouts, boosting employee morale and trust.
  • Timely Reporting: The platform provided real-time insights into sales performance, enabling managers to make informed decisions promptly.
  • Streamlined Incentive Payouts: Payout slips were generated automatically, simplifying the process and ensuring timely rewards for the sales team.

Our Remark

By automating a critical business process, “Next Level Performance” significantly improved operational efficiency, accuracy, and employee satisfaction for Multipro. The platform empowers Multipro’s sales team with real-time data and accurate incentives, driving increased motivation and ultimately, enhanced sales performance.

Next Level Performance: Automating Sales Incentives for Multipro

Client: Multi Pro Nig. Ltd

Multipro Consumer Products Limited, a leading Nigerian company with a vast sales force, struggled with manual data computation for sales performance and incentive payouts. This process was time-consuming, prone to errors, and hindered timely decision-making.