A Perfect Fit
Prepacks can contain pre-determined quantities of all sizes, a mix of smaller sizes, or a mix of larger ones depending on site specifics such as customer demographics. For example, one prepack can include items that are sold the most and serve all stores; a second prepack can be created for one “extreme,” that is, an area where a specific size or ranges of sizes is predominant, and so on.
After analyzing sales performance, size runs that sold well can be replicated; alternatively, new size runs can be created. Buyers can, of course, make modifications to numbers one by one manually anytime.
Let Jesta’s Size-Pack Optimization module size things up for you.
Discover the core features that make Jesta I.S. Merchandising ERP your ultimate choice for success:
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Define your open-to-buys, margins and revenue, digitize your planning and KPIs so users can easily share, publish and reconcile different plans and versions.
Build customer-centric assortments, optimize the breadth and depth of your product portfolio and automate your strategies to maximize sales.
Allocate your inventory to the stores and channels that are likely to sell it the fastest at the highest price considering what’s been sold and localized demand.
Automatically push the right inventory in the right amount to the right place at the right time to maintain optimum stock and service levels.
Leverage historical sales data to auto-determine the optimal quantity per size for prepacks to more quickly meet localized demand and maximize sales.
Reconcile your POS and OMS data with the transactions and inventory data in your Merchandising applications to ensure accuracy, compliance and control.
Achieve unified inventory and order visibility, enhance your space utilization and improve pick-pack-ship efficiency with desktop and mobile capabilities.
Review the lifecycle of your inventory at various milestones via a 360° visual carousel of your products. Take action to optimize sales performance.
Review key sales and inventory KPIs at the department, class, subclass and item level to track and adjust buying and planning with optimal results.
Transform real-time insights into strategic data-driven actions. Leverage predictive and prescriptive analytics based on market and performance data.