Mexico’s Q-Commerce Experiences 375% Increase in DiDi Shop Orders

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Q-Commerce Fuels Growth in Mexico’s Digital Economy

Quick commerce, commonly referred to as “Q-commerce,” has rapidly become a pivotal force in Mexico’s burgeoning digital economy. Noteworthy platforms like DiDi Shop have experienced a remarkable 375% surge in orders for groceries, pharmacy items, and various convenience products in 2025.

This dramatic increase epitomizes a transformative shift in consumer habits, moving away from conventional restaurant deliveries toward the immediate procurement of daily essentials and urgent purchases.

In 2025, DiDi Shop documented over 8 million orders across the nation, bolstered by a considerable increase in its merchant roster. Micro, small, and medium-sized enterprises (SMEs) experienced a 15% growth on the platform, now constituting more than half of the 5,500 businesses involved.

Rodrigo Rogel, the commercial director for DiDi Shop in Latin America, remarked that this innovative model is recalibrating service benchmarks, establishing speed and high availability as fundamental consumer expectations.

Emerging Product Trends and Regional Adoption

The platform has pinpointed eight particular categories where Mexican consumers increasingly turn to local SMEs: skincare, office supplies, alcoholic beverages, pharmacy items, party goods, hygiene and beauty products, baby essentials, and home provisions.

This diversification implies a significant evolution in digital platform usage, extending beyond just food delivery to encompass vital tools for health management, celebrations, and domestic requirements.

Initially, traditional food delivery pivoted upon major urban centers; however, Q-commerce adoption has witnessed a swift proliferation across the country.

In 2025, the highest order volumes were observed in Mexico City, Monterrey, and Guadalajara, closely followed by Tijuana, Mexicali, Ciudad Juárez, Puebla, Cancún, Villahermosa, and Chihuahua.

Logistics and Technological Infrastructure

Projections suggest that Mexico’s quick commerce market will reach an impressive US$2.2 billion by 2029, expanding at a compound annual growth rate (CAGR) of 14.16%.

To facilitate this growth, an increasing number of companies are embracing artificial intelligence (AI) and machine learning (ML) technologies to enhance last-mile logistics.

Experts from DispatchTrack emphasize that these innovations mitigate operational challenges while bolstering brand reputation through real-time tracking and comprehensive delivery visibility.

“In the post-pandemic landscape, swift and seamless experiences have become the norm,” stated Carlos Díaz, General Manager at DispatchTrack.

Such technological advancements address local hurdles, including inadequate infrastructure, traffic bottlenecks, and ambiguous addressing systems, thereby allowing for delivery windows ranging from as little as 11 minutes to a maximum of four hours.

Consumer Expectations and the Hyperlocal Model

Consumer behavior in Mexico increasingly reflects a demand for immediacy. Research conducted by Wunderman Thompson reveals that 69% of Mexican consumers anticipate that purchase inspirations should culminate in delivery within a matter of hours. This urgency is particularly notable in sectors such as alcoholic beverages and health products.

To satisfy these evolving expectations, the industry is progressively adopting a hyperlocal fulfillment model that employs “dark stores”—distribution centers exclusively dedicated to online orders.

A woman is sitting at a table with multiple shopping bags, using a laptop and holding a credit card.

These data-centric operations empower brands to maintain competitiveness in a market where 65% of Latin American consumers desire swift and engaging fulfillment experiences.

Nevertheless, exorbitant delivery costs—sometimes amounting to 25% of the total order value—pose a substantial structural challenge for companies striving to scale sustainably while preserving control over the customer experience.

Source link: Mexicobusiness.news.

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