Real Businesses.
Real Results.

The Problem

A demolition and site-clearing contractor was spending hours every week manually checking government and municipal procurement portals — missing opportunities, and writing proposals from scratch under tight deadlines. Revenue was limited not by capacity, but by bandwidth.

What We Engineered

We built an end-to-end bid intelligence system. It monitors multiple Alberta government and municipal procurement sources around the clock. When a relevant opportunity is posted, it scores the bid automatically against the company's specific service lines, equipment, crew capacity, and geographic range — filtering out irrelevant bids before anyone sees them. Only real opportunities land in front of the team. The system then calculates an estimated cost and bid price for each opportunity using the company's actual equipment rates and target margin before a human has touched it. The operator opens a bid, sees crew days, equipment mix, and recommended price already calculated, and makes a go or no-go decision in under a minute. On approval, a complete, professionally written bid submission is generated and ready for review. The operator edits, signs off, and the system handles submission back to the procurement portal.

The Problem

This is a second, separate build for Zebra Landscaping, and it covers one job specifically: spring cleanup and yard removal. Spring is the crunch — quote requests pile up faster than anyone can type, and the team was doing those cleanup quotes by hand. Mental math, calls back to the office, inconsistent pricing. Quotes varied by who was on-site, margins were unpredictable, and staff constantly interrupted the office mid-estimate to get numbers confirmed.

What We Engineered

We built a password-protected internal quoting tool for field staff. Staff enter a client address, trace the yard on a live satellite map, and the tool calculates square footage automatically. Sliders capture property conditions, add-ons, and discounts — and a live quote total updates in real time. When the quote is ready, one tap copies a formatted, client-ready version. A Jobber integration pushes completed quotes directly into their CRM. Pricing lives in the tool, not in anyone's head.

The Problem

Both shops sold from the same stock in two places at once: a Clover till on the counter and a Shopify storefront online. Nothing connected them. A sale in the shop did not move the number on the website, so the site kept advertising things that had already walked out the door, and staff spent part of every week retyping counts and prices between the two systems to keep them close enough to trust. The products themselves had drifted too — the same item carried a different name, a different SKU and sometimes a different price in each system, so even a manual count did not reconcile cleanly.

What We Engineered

We built a one-way sync that makes the till the single source of truth for stock, price and SKU, and leaves Shopify owning everything the storefront is actually good at — images, descriptions, collections and SEO. The hard part was not moving numbers, it was deciding what counted as the same product: catalogues that had grown separately for years were matched with an AI-assisted pass over names, sizes and variants, with anything ambiguous held back for a human to confirm rather than guessed at. The sync itself is deliberately narrow and idempotent, so a retry can never double-count stock, and a store the system is not authorised to touch is blocked in code rather than by configuration. Every run produces a reconciliation report naming exactly what changed and what it refused to change.