Cut carrying costs. Reduce stockouts. Run leaner operations.

The back half of retail — buying, replenishment, markdown, supply chain — is where margin is made or lost, and it is the part of the business most starved of AI investment. Retailers spend millions on acquisition and personalisation while their buying teams are still running open-to-buy on spreadsheets and their replenishment decisions are based on last year’s actuals with a gut-feel multiplier applied. ZeroOrg’s Retail Operations AI service brings intelligent automation to three operational pillars: merchandising (markdown, OTB, and promotional planning), supply chain (demand-driven replenishment and supplier risk scoring), and workforce management (omnichannel labour optimisation). The outcome is a leaner operation, lower carrying costs, and improved margin — without any change to your commercial strategy.

What We Offer

• Markdown Optimisation Engine: An AI model that generates SKU-level markdown recommendations based on sell-through velocity, inventory ageing, days-on-floor, and margin targets — replacing manual markdown decisions with demand-responsive price management that maximises recovered margin.
• Open-to-Buy (OTB) Planning: AI-assisted OTB models that integrate demand forecasts, sell-through actuals, and planned promotional events into a dynamic buying budget — updated weekly rather than monthly.
• Demand-Driven Replenishment: Automated reorder triggers based on demand forecasts and safety stock calculations rather than fixed reorder points — reducing both stockouts and overstock simultaneously.
• Promotional Calendar Optimisation: An AI layer that evaluates historical promotional performance by mechanic (percentage discount, gift with purchase, free shipping) by category and customer segment — and recommends the promotional calendar configuration most likely to maximise revenue per promotion.
• Supplier Risk Scoring: A monitoring system that tracks supplier reliability signals — lead time variance, quality rejection rates, geopolitical risk exposure — and surfaces early warning flags to your procurement team before they become fulfilment problems.
• Workforce Management AI: For brands with physical retail, AI-driven labour scheduling that aligns staffing levels with predicted footfall, peak transaction periods, and fulfilment centre demand.

Key Deliverables

• Merchandising AI Playbook: A documented framework for AI-assisted markdown, OTB, and promotional decision-making — including how to override the model when commercial judgement warrants it.
• Replenishment Automation System: A deployed replenishment automation layer integrated with your OMS/ERP, with configurable override thresholds and exception management dashboards.
• Promotional Effectiveness Report: A historical analysis of your promotional calendar performance by mechanic, category, and channel — establishing the baseline against which AI-driven improvements will be measured.
• Supplier Risk Dashboard: A live monitoring environment surfacing supplier performance metrics and risk flags, connected to your procurement data.

Approach

• Operations Audit: We map your current merchandising and supply chain decision processes — who makes which decisions, on what data, with what frequency — to identify the highest-value automation opportunities.
• Pilot-First Deployment: Markdown optimisation and replenishment automation are piloted on a subset of categories before full deployment — with a controlled measurement period to validate model performance against actuals.
• Change Management: We work with your buying, merchandising, and operations teams to integrate AI recommendations into existing workflows. The model proposes; the team decides.
• Seasonal Calibration: Models are reviewed and recalibrated at the start of each major trading season to incorporate the previous period’s learnings and update planning assumptions.

Potential Benefits

• Reduce Overstock Carrying Costs: AI-driven replenishment and markdown optimisation consistently reduces end-of-season inventory and associated carrying costs by 15–25%.
• Improve Full-Price Sell-Through: Demand-driven buying and markdown sequencing increases the proportion of revenue earned at full price — protecting contribution margin.
• Reduce Stockout Frequency: More accurate demand signals reduce high-velocity SKU stockouts — protecting revenue and customer experience simultaneously.
• Improve Promotional ROI: Data-driven promotional calendar optimisation ensures every promotional mechanic is evaluated against its actual return, eliminating the discount escalation trap.

ZeroOrg’s Retail Operations AI turns the back-office from a cost centre into a competitive advantage. The brands that win on margin in the next five years will be the ones that brought AI to their operations before their competitors did.