News

Quantum Retail releases enhanced Q Merchandise Optimization Solutions

January 13, 2014

Quantum Retail Technology, a provider of retail-focused merchandise management and inventory optimization software solutions, today announced an expanded suite of its Q Merchandise Optimization Solutions including enhanced versions of its Allocation and Replenishment Solution as well as announced upcoming updates to its Order Planning solution.

"These updates to the Quantum Retail solution suite represent our latest evolution of the Quantum Retail Merchandise Optimization technology to address rapid changes in the retail vertical," said Steve Buege, CEO of Quantum Retail, in a press release.

Features of the product include:

• Initial Allocation Planning: Performs allocations for products with no sales or inventory history.
• Replenishment Distributions: Optimizes store distributions for products with ongoing sales and inventory data.
• Allocation Trigger by Rule: Allows for Configurable allocation triggers; order driven allocations vs. ASN allocations.
• Redesign of Pack Allocation: Evaluates trade-offs between alternative complex packs and singles to arrive at optimal allocation.
• Demand Forecasting: View of time phased demand forecasts to aid understanding of allocation and distributions decisions.
• Forecast Variance Alert: Compares historic forecasts vs. updated forecasts and alerts users when demand exceeds a threshold for a defined period of time.

Q for Order Planning will also be enhanced with an array of features:

• New Item order Planning: The Q Demand Engine calculates order plans for products with no sales or inventory history.
• Time-Phased Inventory Targets: Q offers a view of future inventory target fluctuations based on range, seasonality, life cycle, min/max or constraints.
• Sales Forecasting: Q predicts demand forecasts constrained by inventory into the future.
• Flow and Constraint Modifications: Manage inventory flows through warehouse/vendors with constraints (Open-to-Buy, product, location or vendor).

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