Brazil recorded over 90 million online shoppers in 2024, with expectations for this number to grow by at least 10% in 2025, according to ABComm. Amidst this promising scenario, understanding consumer profiles becomes essential to capture a larger market share. However, logistics still represent one of the main bottlenecks: E-commerce Radar data indicate that over 82% of shopping carts are abandoned, with freight costs being one of the main reasons. Delivery time also weighs in the decision-making process: a study by Yampi shows that 36.5% of consumers abandon a purchase due to delivery or production delays.
Faced with this landscape, companies seek alternatives to stand out precisely in the final stage of the buying journey. Three factors are decisive in building an efficient logistics strategy: delivery time, shipping cost, and service quality or level provided. Just like in other sectors of the economy, scenario simulation emerges as a powerful tool to support decisions and add value to operations. In the logistics field, this resource is also gaining increasing relevance.
Based on data analysis, retailers and e-commerce businesses can test different combinations of modes, deadlines, and partners even before starting an operation. For example, if carrier A delivers in 3 days, but carrier B delivers in 4 days for a $1.50 cheaper per order, the most strategic choice will depend on the company’s objectives.
To support this type of decision, Intelipost, a leader in freight and delivery management, recently launched the Optimize Simulation Module – a tool that allows for quick and accurate comparison of various logistic scenarios. Using historical data and customized variables, the module predicts costs and delivery times, helping logistics managers and business areas make more informed decisions and reduce inefficiencies in operations.
Ross Saario, CEO of Intelipost, summarizes the importance of the module with a practical metaphor: “Deadline, cost, and service level function as interconnected levers. When one is adjusted, the others inevitably move as well.” For him, understanding this dynamic is crucial for strategic choices. “In the transportation sector, longer deadlines generally mean cheaper freight. But not every audience demands speed. If the company knows that its customers are willing to wait a little longer, choosing a more economical carrier can be the best option. And this is only possible based on simulations fueled by real data,” completes the executive.
The ability to simulate different logistic scenarios based on concrete data and reliable projections is becoming a competitive advantage. More than a trend, it is an essential practice to structure efficient operations and make strategic decisions confidently.
