Brazil registered over 90 million online buyers in 2024, and the expectation is that this number will grow by at least 10% in 2025, according to ABComm. In this promising scenario, understanding consumption profiles becomes essential to capturing a larger share of the market. However, logistics still represents one of the main bottlenecks: data from E-commerce Radar indicate that more than 82% of shopping carts are abandoned, with shipping costs being one of the main causes. The delivery time also influences the decision: a survey by Yampi shows that 36.5% of consumers give up on a purchase due to delays in delivery or production.
In light of this scenario, companies are seeking alternatives to stand out precisely at the final stage of the purchase journey. Three factors are decisive for building an efficient logistics strategy: delivery time, freight cost, and quality or level of service 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 increasingly gaining relevance.
Based on data analysis, retailers and e-commerce businesses can test different combinations of shipping methods, deadlines, and partners even before starting operations. For example, if a carrier A makes deliveries in 3 days, but a carrier B delivers in 4 days for R$ 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 theOptimize Simulation Module— a tool that allows quick and accurate comparison of various logistical scenarios. Using historical data and customized variables, the module projects costs and delivery times, helping logistics managers and business areas make more accurate decisions and reduce inefficiencies in operations.
Ross Saario, CEO of IntelipostSummarize the importance of the module with a practical metaphor: "Deadline, cost, and service level function like interconnected levers. When one is adjusted, the others inevitably move as well." For him, understanding this dynamic is essential for strategic choices. "In the transportation sector, longer deadlines generally mean cheaper freight. But not all customers demand speed. If the company knows that its clients are willing to wait a little longer, choosing a more economical carrier may be the best option. And this is only possible based on simulations fueled by real data," concludes the executive.
The ability to simulate different logistical scenarios based on concrete data and reliable projections consolidates itself as a competitive advantage. More than a trend, it is an essential practice for structuring efficient operations and making strategic decisions with confidence.
