Agentic AI Technology

    Meet Your AI Agents

    Klibre plans a retail season with three AI agents. The Allocation Agent balances store and warehouse stock. The Planning Agent supports pre-season planning and buying. The Pricing Agent protects margin.

    Recommendations show the data behind them. Transfer and replenishment recommendations are approved in one click, so the team keeps control of execution.

    Allocation Agent
    Allocation AgentStore & DC Balance
    Planning Agent
    Planning AgentPre-season & Buy
    Pricing Agent
    Pricing AgentMargin Optimization
    AllocationStore & DC Balance
    In-Stock Health94.2%
    Pending Transfers1,240
    Active • Last run 2 mins ago
    PlanningPre-season & Buy
    Forecast Accuracy91%
    Buy Optimization+15%
    Active • Last run 2 mins ago
    PricingMargin Optimization
    Margin Lift+12%
    Price Changes847
    Active • Last run 2 mins ago

    Balances inventory between stores and warehouses in real-time

    Allocation Agent

    The Allocation Agent balances inventory between stores and warehouses. In season, Klibre handles initial allocation, inter-store transfers and replenishment in one decision flow. Transfer recommendations follow size curves and product segmentation so core sizes stay available in each store.

    Forecasts demand and optimizes purchase quantities

    Planning Agent

    The Planning Agent supports pre-season planning and buying. It forecasts demand by store and turns that forecast into buying and allocation recommendations within the constraints the retailer sets, such as weeks of supply, size curves and store capacity.

    Maximizes margins through dynamic price optimization

    Pricing Agent

    The Pricing Agent protects margin. After the season, markdown optimization recommends the timing and depth of discounts per product, instead of one blanket discount.

    What the team approves

    Klibre is a planning and decision platform. It connects to the systems a retailer already uses and turns their data into recommendations. The team stays in control of execution: every recommendation shows the data behind it, and transfer and replenishment recommendations are approved in one click.

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