Day Store

What challenges do brands face when scaling fulfillment across distributed geographic markets?

Day Store operates a fulfillment model built on two components that work together but deliver value independently: a network of more than 100 strategically located micro fulfillment centers across 15 states in Mexico and its proprietary technology, BoxAI. Inventory is positioned close to demand, while execution is coordinated centrally through real-time data.

As brands scale, three constraints emerge consistently. Delivery times extend, visibility becomes fragmented, and working capital is tied up in centralized inventory. Day Store addresses these constraints by decentralizing inventory while maintaining system-wide coordination through its technology layer.

"When you're managing 100+ locations serving variable demand across regions, real-time coordination isn't optional, it's mission-critical," says CEO Francisco del Rincón.

The micro fulfillment center network enables proximity. BoxAI ensures synchronization. Together, they allow brands to reduce service times from days to hours, maintain real-time visibility across locations, and optimize working capital without relying on large safety stocks. New market entry follows the same logic, with activation timelines of four to six weeks compared to six to twelve months in traditional models.

BoxAI as the Coordination Layer

How does BoxAI coordinate operations across multiple fulfillment centers in real time?

BoxAI functions as the system's coordination layer, capturing operational signals in real time and triggering execution across picking, packing, routing, and inventory control. This synchronization supports 99.5 percent inventory record accuracy and a 95 percent on-time, in-full delivery rate across more than 500,000 monthly orders.

Clients access live dashboards with full order lifecycle visibility, supported by API integrations and conversational interfaces that enable bidirectional communication between systems.

In one case, a consumer packaged goods company needed to reach a broader market with greater frequency and lower minimum order quantities than their traditional weekly ordering channel allowed. Day Store enabled a new digital sales channel where corner stores place orders daily through a WhatsApp chatbot. Orders are consolidated in real time, routed based on service constraints, and dispatched for same-day delivery. This channel enabled the CPG company to saturate the market and reduce unmet demand while controlling the customer experience through Day Store deliveries. Average revenue per user (ARPU) increased more than 30 percent.

Why is real-time data visibility critical for optimizing fulfillment performance and decision making?

BoxAI also provides an intelligence layer. It continuously analyzes operational data, flags risks such as product expiration, and surfaces insights that inform pricing, replenishment, and distribution decisions.

Operational Impact Across Use Cases

Day Store's model has scaled across multiple environments. A coffee chain integrated its point-of-sale system to trigger real-time replenishment, expanding from one micro fulfillment center serving three cafés to ten locations supporting more than fifty within 18 months.

A residential water filter provider decentralized spare parts inventory near service zones, enabling technicians to complete five times more service calls while maintaining a 99 percent service level with full inventory visibility across stages.

In another case, a Latin American super app launched a 15-minute grocery delivery model, scaling to more than 50 micro fulfillment centers and a workforce of over 300 employees, while maintaining real-time KPI monitoring and coordinated execution.

Removing Structural Bottlenecks

In what way does distributed fulfillment remove infrastructure and scalability constraints in logistics?

The system removes three structural constraints. Market expansion no longer depends on large infrastructure buildouts. Demand variability is absorbed through a network of integrated partners that provide elastic last-mile capacity without degrading service. Real-time visibility connects logistics performance directly to business decisions.

"Most 3PLs give clients a black box. We give them a growth lever," says del Rincón.

Day Store operates as an extension of client teams, integrating systems, sharing data transparently, and co-designing logistics strategies. Its model combines distributed infrastructure, centralized coordination, and flexible capacity to support growth without operational fragmentation.

For enabling ultra-fast fulfillment through a coordinated, distributed network, Logistics & Transportation Review LATAM recognizes Day Store as the Top Smart Fulfillment Solution in Latin America for 2026.