Digitrade Presale
Pre‑orders, campaigns and seasonal volumes — finally structured, connected and predictable.
What the platform solves
Presale in Excel causes errors
Different formats from sellers create misunderstandings and weak forecasts.
Unreliable volume basis
Purchasing is often planned based on guesses instead of real numbers.
No common process
Data lives in silos. The result is overstock, sold out, and lost margin.
Time-consuming coordination
Manual checks, rewriting, and email flows steal time during the season.
How Digitrade Presale works
Standardized collection
- Sellers submit presale data in one shared format
- Line validation and campaign rules
- Support for multiple channels and customer types
Connected to Digitrade
- Presale → Purchasing → Supplier flow
- No manual re‑entry between systems
- One dataset for the entire value chain
Results with Digitrade Presale
- 2–3x faster presale collection — sellers use minutes, not hours.
- More accurate forecasts — better planning and less risk.
- Fewer errors and less double work — standardized and connected process.
- Better margins — less overstock and fewer sold-out items.
Efficient sales and trade fair management
Structured product catalog
Organizing products in catalogs follows the presentation order for easy and clear sales.
Real-time product tagging
Customers can tag products in real time via web or app, improving the purchasing process.
Trade fair management and budget control
Managing multiple fairs with brand prioritization and budget links gives better financial control.
Efficient order processing
Copying orders between stores saves time and increases efficiency for chain sellers.
Structured packages for increased sales
Flexible package types supported
The system supports ERP packages, fixed, loose, and minimum packages for customized product presentation from different suppliers.
Optimal purchasing process
Structured packages simplify purchasing, ensure controlled assortment introduction, and balance flexibility and control.
Automated campaign and order suggestions
Campaign and order suggestions are generated automatically based on customer size and campaign criteria, increasing sales.
Improved financial management
The structure provides better budget accuracy, higher margin control, and less deviation in purchasing.
Real-time data for better decisions
Real-time reports for sellers
Sellers use reports showing sales per customer and campaign to quickly identify growth opportunities.
Profitability calculations for customers
Customers get access to calculations for purchases and returns, ensuring safer purchasing decisions.
Efficient financial management
Updated and consistent data gives finance departments better budgeting and reduces risk of errors.
Data-driven decisions
Real-time overview of purchasing and margins makes it easier to adapt to market changes efficiently.
Total value creation for chains and financial managers
Chain management and reporting
Centralized management of chains and stores provides better reporting and control.
Margin and profitability control
Financial managers get better tools for margin and profitability control across the chain.
Better decision support
Real-time data and reporting provide a better basis for strategic decisions.