Portfolio details

Caddy

About Caddy

Caddy is a specialized software provider for the food manufacturing industry. Unlike bloated, generalized ERP systems, Caddy is built exclusively for small, owner-led, single-facility operations. Their core mission is to help growing food brands transition away from fragile paper and spreadsheet workflows into a streamlined, cloud-based platform, enabling them to confidently handle retail expansion, strict audits, and food safety certifications.

Industry

B2B SaaS / Food Manufacturing Technology

Services

AI Workflow Automation, System Integration, Data Analytics Strategy

Business Type

B2B Cloud Software Platform

Build Your Product

Consult our expert →

The Business Challenge

Growing B2B operations frequently struggle with manual client management. Caddy’s implementation team faced

Customers delaying onboarding tasks without timely follow-ups

Internal bottlenecks delays in reviewing templates or building forms

Lack of clear visibility into post-launch usage drops (silent churn)

Lost revenue from unmonitored seat overages

Fragmented tracking across Google Docs, Slack, and emails

The biggest challenge was building a platform that feels deeply human while operating through structured technology systems.

The Solution

Caddy automated its implementation and health monitoring into core workflows:

coordinate
The Onboarding Nudge Agent

Automatically provisions Google Drive folders and Implementation Sheets upon signing. It tracks client delays and internal SLAs (e.g., 15-day form build limits), sending time-zone-aware email nudges to keep the launch under 45 days.

job-interview
The Churn Risk Agent

Monitors real-time Amplitude data. It tracks zero-form streaks, admin login gaps, and a strict 28-day mobile activation ramp, flagging accounts as Yellow or Red based on rolling 2-week windows.

exploratory-analysis
Automated Compliance & Escalation

If a client exceeds their paid seat count for 24 hours, the system issues an automated warning. If unresolved in 3 business days, it automatically prorates and bills the difference. For health risks, it auto-generates 7-day Asana tasks for human intervention.

Business Model Impact

This operational overhaul acts as an internal revenue and efficiency driver:

Accelerated Time-to-Value

Drives the "Time-to-Live" KPI down to an aggressive ≤ 45-day target (stretch ≤ 30 days).

Revenue Protection

Drives the "Time-to-Live" KPI down to an aggressive ≤ 45-day target (stretch ≤ 30 days).

Optimized Human Capital

Drives the "Time-to-Live" KPI down to an aggressive ≤ 45-day target (stretch ≤ 30 days).

Technology Stack

Target Audience

This system is built for:

Product Differentiation

What makes this operational model different?

Traditional Account Management

Caddy Lifecycle AI

Ready to Build Something Impactful?

Partner with our expert team to create secure, scalable, and future-ready digital platforms.

Let’s Get Started →