Built Scalable Automation for a Lawn Care Marketplace

Summary

Eliminating Operational Bottlenecks Through Custom Data Engineering

Atidiv partnered with a fast-growing D2C lawn care marketplace in the US to develop custom web infrastructure and backend automation. By designing a Soil Intelligence Engine, automating plan creation, and building customer-facing tools, we helped the client scale from 10 to over 3,000 monthly orders-without additional headcount. This end-to-end solution improved user experience, eliminated manual work, and unlocked a 500x increase in ARR.

Challenge

Manual Processes That Couldn’t Scale

The client relied on Shopify to run their operations but faced significant challenges in scaling their services. All soil plans were manually created, lawn sizes had to be estimated offline, and the backend was not equipped to handle a spike in demand. As order volumes grew, the lack of automation became a bottleneck-draining resources, slowing down fulfillment, and hurting conversions.

Solution

Building Custom Tools to Automate and Personalize at Scale

Atidiv worked as a true technology partner, designing a tailored solution stack to eliminate the client’s most resource-intensive workflows.
We built:

• Soil IQ Engine: A proprietary database that modeled soil profiles across 44,000 US zip codes, using third-party test outcomes to predict optimal plans.
• Lawn Size Calculator: A web tool using Leaflet JS and Google Maps API that allows users to digitally estimate lawn area.
• Automated Report Generation: A backend system that dynamically generated personalized soil reports with no manual intervention.
• Plan Bundling Logic: An automated plan builder that generates custom lawn care bundles based on location and soil type.
• Agile Delivery: A scoped, sprint-based engagement with real-time visibility, partial staffing, and <10% deviation on timelines.

Outcome

Custom Infrastructure That Unlocked Scale and Efficiency

By redesigning the client’s infrastructure and eliminating manual workflows, Atidiv enabled the business to scale orders, enhance customer experience, and reduce operational strain-without hiring additional team members.