The company has long used partner rebates, distributor‑specific price lists, and trade terms to drive mutual sales growth. Each quarter, rebates were manually calculated using average prices, then reconciled against individual transactions through an internally developed tool. Any discrepancies between estimated payouts and actual rebates required follow‑up negotiations with partners to recover overpayments. As the company expanded and its distributor and reseller network grew significantly, these manual, average‑based incentive processes became increasingly slow, inaccurate, and difficult to manage. The lack of automation and scalability led to partner frustration, higher administrative effort, and greater risk of errors, highlighting the need for a more efficient, transparent, and scalab

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