DOTxLabs.

8–10% → 2–5%service failure rate

Inside one of Canada's largest moving and logistics operators, the service failure rate across 15+ hubs sat between 8% and 10%. It looked like a people problem. It was a process problem masquerading as one.

DOT mapped the cross-hub workflow, identified recurring failure points in dispatch and labeling, and built a process automation layer paired with real-time Tableau dashboards — giving operations leaders visibility into the failure modes for the first time. Twenty-plus CSRs across hubs were trained on the new system. Labeling accuracy improved 25%.

Service failure rates fell to 2–5%, adopted companywide. Inquiry response times dropped 30%. Daily delivery volumes lifted 20%.

Transferable patternidentifying that a measurable operational problem is structural rather than human, designing the system that fixes it, and rolling it out with the training layer that makes adoption stick across multiple sites.

5+ yearscontinuous build relationship

The longest-running engagement in the portfolio spans a public-facing platform, brand systems, and a portfolio of internal operational tools for a multi-team, multi-service organization.

The work covers: personnel rostering and shift coordination, structured incident and near-miss reporting, asset and equipment tracking with maintenance schedules, training and certification tracking with role-readiness gating, daily operational data feeding leadership reporting, multi-site dashboards, and contractor onboarding portals.

Five-plus years of continuous engagement across multiple stakeholder groups is a harder credential than any single delivery — and it produced a repeatable library of internal system patterns ready to redeploy.

Transferable patternevery system above has a one-to-one equivalent inside an operationally intensive enterprise. Rostering becomes crew rostering for field operators. Incident reporting becomes HSE and compliance tracking. The workflows are identical.

Zerodata-leakage incidents

The DOTxLabs client portal is the studio's own production system — the multi-tenant infrastructure through which clients across four industries access their engagement workspace.

Architecture: Next.js with the App Router, Supabase as the data and auth layer with row-level security per tenant, magic-link authentication, transactional email infrastructure, environment isolation per branch. Each client tenant is fully isolated at the database level.

Zero data-leakage incidents across active engagements. Sub-second page loads. An architecture that scales linearly as tenants are added. Built in weeks.

Transferable patternsecure, role-segmented, multi-tenant infrastructure — partner portals, vendor management, internal employee tools, any environment where multiple stakeholder groups need the same underlying system without seeing each other's data.

+30%student inquiries, first cycle

TSAC came to DOTxLabs needing more than a website. The organization had outgrown its digital presence, was bleeding student inquiries through outdated lead capture, and had no content engine to feed organic growth or paid acquisition.

DOTxLabs delivered a full revenue ecosystem: a complete Next.js rebuild with conversion-optimized lead capture, a structured content factory producing a 90-piece content bank mapped to the buyer's journey, an automated social publishing system, integrated Google Ads and Facebook campaign infrastructure, and a WhatsApp AI assistant trained on the organization's voice — handling first-line student inquiries 24/7.

Result: a 30% lift in student inquiries within the first cycle, a content engine that runs without ongoing studio involvement, and AI inquiry triage that would otherwise have required a full-time hire.

Transferable patterntreating a digital engagement as a revenue system rather than a deliverable — capture, content, AI-assisted response, and follow-up engineered as one pipeline.