Brazil recorded over 90 million online shoppers in 2024, and expectations are that this number will grow by at least 10% in 2025, according to ABComm. Amid this promising scenario, understanding consumer profiles becomes essential to gain a larger share of the market. However, logistics still represents one of the main bottlenecks: data from E-commerce Radar indicate that over 82% of shopping carts are abandoned, with shipping costs being one of the main causes. Delivery time also plays a role in the decision: a survey by Yampi shows that 36.5% of consumers give up on purchases due to delays in delivery or production.
Given this scenario, companies seek alternatives to stand out precisely in the final stage of the purchasing journey. Three factors are decisive in building an efficient logistics strategy: delivery time, shipping cost, and the quality or level of service provided. As 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 tool has also been gaining increasing relevance.
Based on data analysis, retailers and e-commerce businesses can test different combinations of shipping methods, delivery times, and partners even before starting an operation. For example, if carrier A delivers in 3 days, but carrier B delivers in 4 days at a cost R$ 1.50 cheaper per order, the more strategic choice will depend on the company’s goals.
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 precise comparison of various logistics scenarios. Using historical data and customizable variables, the module projects delivery costs and times, helping logistics and business managers make more assertive decisions and reduce inefficiencies in operations.
Ross Saario, CEO of Intelipost, summarizes the module’s importance with a practical metaphor: ‘Delivery time, cost, and service level work like 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 delivery times usually mean cheaper freight. But not every customer demands speed. If a company knows its customers are willing to wait a bit longer, opting for a more economical carrier may be the best option. And this is only possible based on simulations fed by real data,’ adds the executive.
The ability to simulate different logistics scenarios based on concrete data and reliable projections establishes itself as a competitive advantage. More than a trend, it is an essential practice for structuring efficient operations and making strategic decisions with confidence.
