The shift marks a departure from traditional, calendar-driven discounting that treated all inventory as monolithic. Previously, Bealls relied on fixed price tiers that failed to account for how individual products performed once they hit the clearance rack. By leveraging AI to analyze regional inventory levels and consumer demand, the company has replaced manual, spreadsheet-heavy processes with automated, prescriptive decision-making.
Ron Friese, senior vice president and chief AI officer at Bealls, noted that the technology allows the retailer to stop treating disparate items with a one-size-fits-all approach. This granular control helps merchant teams move beyond routine scheduling to focus on strategic pricing exceptions, ultimately simplifying management while protecting profit margins. The implementation deepens a long-standing technology partnership, as Bealls already utilizes Oracle’s merchandising and cloud applications for finance and human resources.

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