Building a Scalable B2B Marketplace Powering 1M+ Transactions | Vendly
GeekyAnts engineered a vending machine solution from scratch to serve as the Operating System for vending businesses. By transitioning traditionally offline and fragmented workflows into a centralized digital infrastructure, the engagement enabled multi-million dollar transaction volumes and thousands of operators on-boardings
Project typeB2B Commerce Platform, Marketplace, CRM, & Analytics Ecosystem
Tech stack
About the Client
Vendly is a full-stack B2B platform modernization venture designed to unify the fragmented vending ecosystem. The platform enables vending operators to manage the entire lifecycle of their business—from inventory procurement and route acquisition to equipment purchasing and lead generation—within a single digital environment.
*All names and logos have been changed to respect the NDA
About the project
Overview
GeekyAnts engineered Vendly from scratch to serve as the Operating System for vending businesses. By transitioning traditionally offline and fragmented workflows into a centralized digital infrastructure, the engagement enabled multi-million dollar transaction volumes and thousands of operator on-boardings.
1K+
Vending Operators Onboarded40%
Core Domains in one Platform1M+
Transaction ecosystem enabled
BUSINESS REQUIREMENT
The client required a unified digital infrastructure to solve the inefficiencies of a fragmented industry where inventory, equipment, routes, and leads were managed through isolated, often offline, systems.
Key Constraints:
- Fragmented Industry: Operations are split across distributor relationships, vendor networks, and manual CRM tracking.
- Intelligence Gap: No centralized data for sales or operational performance.
- Scalability: Need for a multi-actor system handling operators, vendors, distributors, and logistics.
CHALLENGES IN EXECUTION & SOLUTIONS
We unified fragmented industry workflows by consolidating procurement, growth pipelines, and asset acquisition into a centralized dashboard. To support this, we engineered a multi-actor coordination layer that serves operators, vendors, and logistics partners simultaneously.
We developed a transaction-heavy backend to manage high-volume orders, subscriptions, and route listings with production-grade stability. Finally, we bridged the operational intelligence gap by building data ingestion pipelines that transform raw machine data into actionable sales insights.
Fragmented Industry Workflow
Multi-Actor Coordination
Operational Intelligence Gap
Scope variations during execution
OUR SOLUTION
We designed a modular B2B ecosystem combining five core domains into one platform. We architected a multi-domain backend using NestJS and PostgreSQL to handle complex transactional modeling. The solution integrated Stripe for subscription-driven revenue and established data pipelines for real-time vending machine analytics.
OUR APPROACH
We established clear service boundaries for orders, fulfillment, and billing by applying domain-driven design to the core architecture. Within this framework, we developed specialized modular engines for route marketplaces, inventory procurement, and equipment acquisition.
To drive growth, we integrated a dedicated CRM suite, VendLead, which enables location-based lead discovery and comprehensive lifecycle tracking. Finally, we implemented sync monitoring and consolidated analytics dashboards to transform raw machine data into actionable performance insights.
- Service boundaries were defined for core functions, including orders, fulfillment, and billing. This was achieved by utilizing a domain-driven design approach to structure the system
RESULTS
The platform matured into a production-grade ecosystem that successfully digitized a traditionally offline industry.
- Commercial Impact: Multi-million dollar transaction ecosystem enabled with strong subscription revenue.
- Operational Scale: Thousands of operators onboarded with 99.98% uptime for high-concurrency workflows.
- Strategic Outcome: Vendly is now a comprehensive growth engine, allowing operators to scale through data-driven asset discovery.
