Work that ships and scales.
Production software, AI platforms, and marketplace launches — engineered end-to-end. A look at what we've built and scaled with ambitious teams, from the first prototype to the system their business runs on.
amazon.com.au
From Empty Storefront to 2.5 ROAS: An Amazon AU Launch
A new-to-Amazon brand entered Amazon Australia with a demand-validated multi-unit card tracker, a conversion-ready listing, Brand Registry assets, and a disciplined $20/day Sponsored Products plan — reaching 2.5 ROAS in about five weeks.
amazon.com.au
Laundry Bag Set: An Amazon AU Launch at 2.44 ROAS
With the brand's first product already live, Xorora sourced and launched a second: a laundry bag set for delicates — reaching 2.44 ROAS on a $30/day Sponsored Products campaign one month into the brand's Amazon presence.
amazon.com.au
122% ACOS to 42%: An Amazon UK Rugs Turnaround
One of the UK's largest rugs and home furnishings retailers was spending £6,000+ a month on Amazon ads at 122% ACOS — growing sales while losing money on every pound of PPC. Xorora rebuilt the account without killing the revenue engine behind it.
From zero to Pakistan's best-selling sugar-free dessert brand online
A premium coconut dessert brand with no paid social history. Xorora built the Meta account from a blank Ads Manager and drove 10,732 purchases at 5.27x average purchase ROAS.
amazon.com.au
~31% ACOS on 60 SKUs — Without Spending the Full Budget
A major US bedding brand with 3,000+ Amazon SKUs gave Xorora a $10,000 monthly budget for a 60-SKU segment. We didn't try to spend it all. In three months, ACOS landed near 31% on ~$5,500/month — and portfolio growth held.
Building a first-time digital audience for an organic nutrition brand
No pixel, no purchase history, and a trust-heavy category. Xorora crossed 5,047 purchases in seven months at 4.01x average purchase ROAS.
Turning a traditional home bakery into a nationwide online order engine
A local bakery with no online funnel. Xorora built purchase and WhatsApp conversion campaigns in parallel and drove Rs 7.18M in purchase value at 4.03x ROAS.
Scaling a wellness supplement brand to a 26x return with zero starting data
Xorora's strongest Meta return: 26.69x average purchase ROAS and Rs 156M in purchase value — built category by category in one of Meta's most tightly regulated ad classes.
Legacy TMS Modernized for Real-Time Freight Visibility
A mid-sized freight carrier ran its core TMS on a codebase that predated the smartphone era. Phased modernization extracted modules behind clean APIs while live shipments kept moving — closing the gap between batch EDI cycles and the real-time visibility shippers now expect.
Launching a fashion accessories brand with no prior digital footprint
A modest budget and no pixel history. Xorora proved the model with product-led creative and delivered 6.33x average purchase ROAS.
Automating Carrier Rate Complexity with AI
A freight brokerage was losing hours every day logging into fifteen to twenty carrier portals to compile a single quote. AI workflow automation turned that manual, portal-by-portal process into an automated system for rate management and invoice auditing.
Sustaining a supplements brand's search performance over two years
Eight product-family Search campaigns over two years: Rs 82.8M in tracked conversion value against Rs 790K spent.
Modernizing Compliance Without Slowing the Business
A mid-sized fintech lender was expanding into new states faster than its compliance team could keep up. An AI agent and custom compliance application replaced manual, state-by-state loan review with automated screening built for fair lending and audit readiness.
Growing a B2B wholesale marketplace's revenue 6.5x in one quarter
Intent-matched Search and category landing pages: revenue up 649.83% and transactions up 633.88% period-over-period.
From Manual Underwriting to ML-Assisted Risk Scoring
A digital lender was approving loans on a static, bureau-only scorecard that underserved thin-file borrowers and fed a growing manual review queue. A discovery-led approach combined bureau data with alternative data into an explainable, ML-assisted risk scoring system.
EHR Interoperability Without the Downtime
A regional healthcare network was stuck on HL7 v2 message-based interfaces that broke often and required custom mapping for every partner. A discovery-led, phased modernization moved the EHR onto FHIR-based interoperability without interrupting clinical operations.
Cutting Clinical Documentation Time with an AI Agent
A multi-specialty medical group watched physicians spend nearly 28 hours a week on administrative work. An ambient AI documentation agent — built with clinician oversight and EHR integration at the center — reduced administrative burden without compromising note accuracy.
Property Management, Unified
A multi-property management firm had grown its portfolio faster than its systems could keep up. A discovery-led custom application connected leasing, accounting, and maintenance — eliminating duplicate data entry across a growing portfolio.
AI-Assisted Maintenance Triage for a Multifamily Portfolio
A multifamily operator was losing residents' trust one late-night phone call at a time — roughly 65% of maintenance calls came after hours. An AI agent for intake and triage cut after-hours escalations and sped up emergency response.
Breaking Free of a Monolithic Storefront
A mid-market retailer ran its entire storefront on a single monolithic platform where every marketing page waited behind the same deployment freeze as checkout. A strangler fig migration moved to headless, composable architecture without a risky big-bang cutover.
Personalization at Scale Without a Headcount Increase
A mid-market retailer showed every visitor the same homepage and recommendations. A real-time recommendation engine — built on clean first-party data — personalized product discovery for thousands of shoppers without adding merchandising headcount.
One-Size-Fits-All Learning, Retired
An online learning provider watched completion rates stall even as enrollment grew — every learner moved through the same fixed sequence. A discovery-led adaptive platform replaced fixed curriculum with real-time, mastery-based pathways without losing instructor oversight.
Scaling a Tutoring Platform from Pilot to Production
A tutoring platform had proven the concept with a few thousand students — but not a system built for institutional buyers. The validated pilot moved to a production-grade platform with SSO, roster sync, and compliance — without the rewrite most pilots trigger.
From Single-Tenant Prototype to Multi-Tenant Product
A B2B SaaS company provisioned one dedicated database per customer — fine for the first handful, untenable by the twentieth. A discovery-led migration moved to a secure, scalable hybrid multi-tenant architecture without a costly rebuild per new customer.
Killing Onboarding Churn with Automation
A B2B SaaS company had a product that worked — but lost users before they discovered that. A behavior-triggered onboarding system, built around AI-detected activation stalls, replaced a generic time-based email sequence and cut early churn.
From Spreadsheet Chaos to a Real SaaS Platform
A two-person founding team had proven demand for a B2B scheduling service delivered entirely by hand through spreadsheets and email. A scoped, discovery-led MVP turned that validated manual process into a lean SaaS platform — without the scope creep that stalls most first builds.
Staff-Augmented Engineering for a Pre-Seed Team
Two non-technical founders had eighteen months of runway, a validated problem, and no engineer. Staff augmentation let them validate their product with senior engineering support — without the runway risk of premature full-time hires.
Ending the Spreadsheet-and-Phone-Call Booking Era
A 30-room independent hotel still ran reservations on a paper logbook and spreadsheets across booking channels. Discovery-led modernization replaced that process with a unified PMS and channel manager — eliminating overbooking risk.
Recovering Direct Bookings from OTA Dependence
An independent boutique hotel filled rooms reliably — but most revenue arrived through OTAs, with commissions eating a significant share of every booking. An AI-enriched guest data system and personalized outreach agent helped win back direct bookings from OTA-acquired guests.