One wrong decision made before the start of the season can turn the entire season into a burden that is difficult to bear. Missing out on a bestseller, stockpiling slow-turning color or sending the wrong collection to the wrong region; It melts the profit not before the sale, but before the production begins. The real issue is not to produce, but to produce the right thing in the right quantity.
Many businesses in the shoe, leather and textile sectors still create their season plans based on the predictions made at the meeting table, the feeling of the field team or by looking at the total turnover of the past year. However, what is needed in today's competition is not brute intuition; It is demand data separated on the basis of model, color, number, region, channel and customer type. This is where ERP-supported planning comes into play.
Top 3 Planning Mistakes Most Common at the Start of a Season
Looking at the Total Number and Missing the Details
The information "We sold 5,000 pairs of this model last season" alone is insufficient. The real critical data; It depends on which color, which number, in which city and in which sales channel. Even if the total quantity is correct, if the distribution is wrong, the stock will still be set up incorrectly.
Treating Every Region as the Same
A product that rotates quickly in Istanbul may not show the same performance in Central Anatolia. As dealer structure, climate, price sensitivity and consumer habits change, the correct collection distribution also changes. The plan, which ignores regional differences, fails at the very beginning of the season.
Copying Last Year and Missing This Year
Last season's numbers are a valuable start, but they are not decisive on their own. The "let's print the same" approach without taking into account price increases, campaign calendar, new customer acquisition, share of e-commerce and product life cycle creates risks.
What Does Accurate Demand Forecast Look For?
Demand forecasting, “what did we sell last year?” It is not just a question. a strong one native ERP software By breaking down past sales transactions, it puts a more meaningful decision set in front of the manager:
- Sales speed based on model, color, number and variant
- Dealer, store, e-commerce and marketplace channel performance
- Regional demand differences and seasonal fluctuations
- Effect of discounts, campaigns and price changes on sales
- Pre‑purchase requirement for long lead‑time raw materials
How to Plan a Collection with Korgün ERP?
Reading the Past Season by Variant
The system not only shows which product is selling, but also which color-number combination is selling out and how quickly. In this way, instead of superficial comments such as "the product worked", you will see which variant is actually the carrier. This difference is of vital importance, especially for businesses working with assortment.
Individual Targeting by Channel and Region
A model that is strong in the dealer channel may not return at the same pace in e-commerce. Korgün ERP; It analyzes wholesale, store and digital sales channels separately, allowing a different start-up plan to be prepared for each channel. Thus, instead of uniform collection distribution, loading is done according to the target.
Early Warning for Production and Purchasing
Critical raw materials, molds or subcontracting capacity are planned in advance based on forecasted demand. This reduces expensive delays such as "the leather was not available for the best-selling product" or "we could not find a place in the subcontracting line" after the season has started. This structure KG Palaimon It produces stronger decision support with management tools such as.
Quick Revision During the Season
Planning is done once and never forgotten. By monitoring the sales flow, return rate and turnaround rate in the first 2-3 weeks, the system recommends new completions. Additional production can be planned for fast-turning variants, and a controlled campaign or regional transfer can be planned for slow-moving products.
Data-Driven Management
Managers who can read sales, stock, profitability and variant performance on the same screen make more accurate plans. Korgün ERP's reporting approach bases collection decisions on hard data, not just stock.
Overproduction or Underproduction? Both are Harmful
The Price of Overproduction
Slow stock waiting in warehouse; cash bonds create discount pressure and lead to loss of value at the end of the season. Moreover, stock accumulated in the wrong variant gives the customer the experience of "not finding what he is looking for", even if the total quantity seems high.
The Cost of Underproduction
Not just a single sale is lost when the fastest-turning product runs out of stock; Dealer trust is damaged, e-commerce score decreases and space opens up for your competitor. A missed sale does not come back, especially when the season is short and fashion is fast.
Healthy planning is a balance between these two risks established with data. The aim is not to "leave no deficit"; taking controlled risks in the right place and to evaluate capital in the fastest turning products. For this, finance, sales, production and inventory data must communicate in the same system.
What Indicators Should a Manager Track?
- First 30 days sales rate: It shows whether the new collection is opened at the expected pace or not.
- Number break rate: It shows how quickly best-selling sizes sell out; Improves assortment balance.
- Gross profit by channel: It allows you to separate high-selling but low-margin products from lower-selling but more profitable products.
- Regional rotation speed: It shows which city or dealer group carries which collection better.
- Season‑end aging risk: It makes stocks that are likely to be included in the campaign visible early.
To link the collection plan with color, size and order records textile and apparel ERP scope and review it.
Leave the Season to Data, Not to Chance
Correct collection plan; It is established not only with design power, but also with an infrastructure that reads the data correctly. With Korgün ERP, you can clearly see how much of which model you need to produce, how to distribute it to which channel, and where you need to make revisions during the season.