Beauty Store Replenishment: How Should System Recommendations Work with Store Manager Experience?

Suppose that on Thursday afternoon, a beauty store learns that a nearby shopping mall will add a city marathon pickup point over the weekend. Customers have already started asking about portable sunscreen. Based on confirmed reservations and sales from similar events, the store manager checks saleable inventory and goods expected to arrive before the event. The original recommendation is 20 units, but the manager estimates that another 10 units may be needed and proposes ordering 30. Headquarters must then check how much inventory the warehouse can allocate, whether the goods can arrive on Friday, and whether the remaining stock will be easy to sell after the event.

When headquarters coordinates supply and stores submit orders, quantity adjustment limits can be defined in advance according to product risk. For regular products with stable supply and leftover stock that can be sold through normal daily demand, stores can have more flexibility. For products with limited warehouse availability that must be allocated across multiple stores, the upper limit should be stricter. In configured PEKON suggested-ordering projects, headquarters can set quantity adjustment rules by product, and stores can submit orders within those rules.

Store Managers Add Local Changes the System Cannot See

After receiving news of a temporary event, the store manager should first clarify which products will be affected and on which dates demand will be concentrated. Customer inquiries provide useful signals, while confirmed reservations can be checked individually. When estimating the potential shortage, the manager should review saleable quantities on shelves and in the back room, as well as in-transit goods expected to arrive before the event. Demand already included in the suggested quantity should only be counted once.

For this running event, portable sunscreen is the product directly affected by the replenishment decision. Cleansers and limited-edition gift sets should be assessed separately according to their own demand. The store should also confirm when additional goods can arrive. If delivery will not occur until Monday, the weekend must rely on existing stock, or headquarters should coordinate supply that can reach the store before the event.

Set Three Quantity Adjustment Methods by Product Risk

Different products in the same store can have different adjustment ranges. The quantities in the table below are examples based on the store described above.

Product and Supply Condition Applicable Adjustment Method How the Store Handles It
Regular cleanser with stable supply and leftover stock that can be sold through daily demand Allow unrestricted adjustment The store can increase or decrease the quantity according to saleable stock, in-transit goods and local demand. The adjustment is not limited by the suggested quantity. Product orderability, case-pack rules, supply conditions and approval requirements still follow their respective rules.
Portable sunscreen with regular demand that may increase during a temporary event Set a multiplier range based on the suggested quantity For a suggested quantity of 20 units, a multiplier range of 0.8 to 1.2 gives an adjustment range of 16 to 24 units. If the brand also sets a submission cap of 22 units and both constraints apply, the store can submit between 16 and 22 units.
Limited-edition gift set with limited warehouse stock allocated across multiple stores Allow downward adjustment only If the suggested quantity is 15 units, the store can only reduce it. If headquarters has allocated 12 units to the store and an effective submission cap of 12 units also applies, the store can submit no more than 12 units or order fewer when necessary.

The store manager wants to order 30 units of sunscreen, which exceeds the range available for self-adjustment. The manager reports the event dates, requested quantity, reason for the increase and latest required arrival time to headquarters. Headquarters then checks confirmed demand from other stores, warehouse allocation and delivery timing. If the quantity available before the event is lower than the minimum of 16 units, the supply plan must be coordinated again or the stocking plan adjusted with the store.

Suppose headquarters confirms that no more than 24 units can arrive on Friday. The store can submit 24 units and arrange the event based on the confirmed quantity that can arrive.

When defining rules, the brand should clarify who can modify an order, how much each product can be adjusted and whom the store should contact when the limit is exceeded. Before a pilot, two situations should also be tested. When the suggested quantity is zero, the brand should confirm whether the system creates an editable product line and how new demand is reviewed or recalculated. For case-pack ordering, the brand should confirm whether a quantity that complies with the case-pack rule exists within the permitted range.

Review Permissions Through Deliveries, Sales and Leftover Stock

During the review, the suggested quantity, store-submitted quantity and actual received quantity should be examined separately. If the store submitted 24 units but received only 20 before the event and experienced a stockout over the weekend, the first step is to check whether the shortage was caused by short shipment or late delivery. Only then should the submitted demand quantity be evaluated.

If all 24 units arrived on Friday, the store had 8 units available before receiving the shipment, and net sales over the weekend reached 26 units with no other inventory changes, 6 units would remain after the event. Headquarters should first check whether a stockout occurred during the weekend, then determine how many selling days the remaining stock can support. If an estimated 4 units will be sold before the next delivery arrives, those 4 units should first be reserved for regular replenishment, after which the remaining quantity can be assessed against the safety-stock standard. If similar events repeatedly leave inventory above normal stocking needs, the brand can consider narrowing the permitted increase.

If several similar stores repeatedly order at the upper limit and sell the goods on schedule after delivery, headquarters can first check whether the suggested quantity has been consistently too low before changing the ordering parameters. If quantity increases occur only during a small number of temporary events, keeping a one-time review may be sufficient. During the pilot, the brand can record the reason for every adjustment so that regular demand can be distinguished from temporary changes in the next review cycle.

How PEKON Supports Quantity Adjustment Rules

In enabled and fully configured PEKON suggested-ordering projects, brands can maintain differentiated parameters by store, product or product tag for use in suggested-quantity formulas. Brands can also configure validation methods by product category, including unrestricted adjustment, downward adjustment only or a specified multiplier range. Stores can adjust quantities according to the applicable rules only after the ordering rules are enabled and linked to the relevant order type.

Before launch, brands can use regular products and tightly controlled products to simulate suggested quantities, verify the effective rules, parameters and recommendations, and then complete the actual ordering process to test whether quantities inside and outside the permitted range can be submitted. The project should separately confirm how independent supply caps are validated, how out-of-range approvals are handled, whether adjustment reasons can be recorded individually and how temporary rules are managed after expiration. To learn more about how suggested quantities are generated, see What Is an AI Inventory Optimization Engine and Why Do Beauty and FMCG Brands Need One?

If your brand is defining replenishment permissions for beauty stores, speak with a PEKON consultant about setting product-level adjustment rules and validating the ordering scenarios that matter before a pilot.