Built on Trust, Driven by Results. Innovation You Can Rely On
Trust is at the heart of everything we do. Our partnerships are built on transparency, reliability, and proven expertise across industries like eCommerce, fintech, and AI. Every project we deliver reflects our commitment to quality, measurable impact, and sustainable growth ensuring our clients can rely on Mondaysys not just as a vendor, but as a long-term technology partner.
Years shipping software
Projects delivered
Faster release cycles
Average client savings/year
M R Q Motin
Founder & CEO at Mondaysys
“Mondaysys began with a tiny team, a single room, and an unreasonable belief that craftsmanship, character, and curiosity could outpace size. We wrote our first lines of code with the same promise we live by today do the right thing, build what matters, and stand behind every delivery. That commitment became our culture: transparent, learning-obsessed, and relentlessly customer-first.
From those early nights to serving clients across continents, our growth wasn’t an accident it was the compound interest of trust. We scale only where quality scales, we automate to free humans for higher-order thinking, and we design systems that make businesses measurably better.
We started small to stay close to the problem. We’re going global to stay close to the impact. And we’ll keep moving forward the same way we began one principled decision, one excellent release, and one trusted partnership at a time.”
— M R Q Motin, Founder & CEO, Mondaysys
Trusted by Leading Agencies & World-class Brands
A Global Team of Experts, Innovators and Dreamers
We are engineers, designers, analysts, and innovators united by a shared purpose to create meaningful impact through technology. Our team combines technical excellence with creative thinking, collaborating seamlessly across borders to deliver end-to-end solutions. At Mondaysys, every team member contributes to a culture of learning, ownership, and continuous improvement, ensuring every client experiences our collective brilliance.
A Process That Delivers. Structured. Transparent. Impact-Driven.
Discover
We dive into your goals, constraints, and customer realities to surface the true problem. Data, interviews, and audits turn assumptions into a clear, prioritized roadmap.
Design
We translate insights into robust architectures and frictionless user journeys. Every decision is validated for usability, scalability, and business impact.
Develop
Our engineers ship in tight, test-driven iterations with rigorous QA. Clean code, clear documentation, and automated checks keep velocity high.
Deploy & Scale
We release with confidence observability, rollback plans, and SLAs in place. Then we tune performance, harden security, and iterate as your usage grows.
Our Unique Strengths
End-to-End Expertise01
From A/B test development to AI/ML, data engineering, and high-conversion web/apps, we own the full stack.
We design architectures, build features, integrate APIs, and automate ops so you get one accountable partner from idea to ROI.
AI-Powered Personalization02
We design technology with people in mind, blending user-friendly systems with cutting-edge engineering.
Proven Track Record03
Our team has shipped enterprise-grade systems for e-commerce, fintech, and SaaS, including complex ERP and POS rollouts.
We measure success in uptime, speed, and conversion gains pairing references, case studies, and clear KPIs with every engagement.
Agile Delivery04
Short sprints, visible roadmaps, and demo-driven reviews keep stakeholders aligned and projects on time.
Automated CI/CD, feature flags, and rigorous QA let us ship safely, learn fast, and course-correct without drama.
Scalable Solutions05
Cloud-ready by default: modular services, caching, queues, and observability that handle today’s traffic and tomorrow’s growth.
Security, compliance, and cost controls are built in so scaling doesn’t compromise safety or budgets.
People-First Culture06
You work with a proactive, candid team that treats your goals as our own.
We communicate clearly, document decisions, and stay available across time zones because trust and partnership drive better software.
Yes. We Cover Your Tech Stack.
Our global team brings deep expertise in virtually every programming language, framework, and tech stack — from legacy systems to bleeding-edge AI tools.
- Node.js
- Java
- iOS
- C#
- Android
- laravel
- Vue.js
- React
- PHP
- .NET
- Node.Js
- Python
- .liquid
- Ruby
- Node.js
- Java
- iOS
- C#
- Android
- laravel
- Vue.js
- React
- PHP
- .NET
- Node.Js
- Python
- .liquid
- Ruby
“We launched a clean Shopify migration in 5 weeks no downtime and saw +27% revenue over BFCM.”
Our legacy store crashed under promo traffic. Mondaysys planned a phased cutover, live-synced inventory, and rehearsed rollback paths. Launch day felt boring in the best way and BFCM finally scaled without firefighting.
“The LLM chatbot deflects 38% of tickets and cut first response time to under a minute.”
Support was drowning in “Where’s my order?” tickets. Mondaysys trained an LLM on our policies, added guardrails, and integrated with Helpdesk for order status and refunds. Agents now handle the hard stuff; the bot handles the rest, fast.
“Their QA discipline drove defect escape below 0.8% releases are finally boring (in the best way).”
We shipped features but also bugs. Mondaysys built a risk-based test plan, added Playwright automation, a11y checks, and data-layer contracts. A pre-release gate stopped regressions cold users noticed stability, not slips.
“Cloud cost down 35%, deployments moved from weekly to daily, Mondaysys modernized our DevOps fast.”
Infra spend climbed while deploys lagged. Mondaysys right-sized clusters, set autoscaling, codified everything in IaC, and rebuilt CI/CD with canary releases. Teams ship daily now and finance finally smiles at the bill.
“The mobile app relaunch cut crash rate by 70% and bumped ratings from 4.2 to 4.8.”
Crashes spiked during peak hours. Mondaysys instrumented the app, traced memory leaks, added offline caching and progressive sync, and simplified onboarding. The app feels instant; reviews turned into referrals.
“Attribution finally makes sense, CAC down 15% after Mondaysys fixed our GA4 and data layers.”
Our channels argued over credit; budgets were blind. Mondaysys audited tags, moved us to server-side, deduped events, and standardized UTMs. Now we fund what works—and cut what doesn’t.
“Mondaysys tripled our A/B test velocity and delivered a 22% conversion lift in six weeks.”
Our tests were stuck behind dev queues and a messy data layer. Mondaysys set up a reusable experiment library, fixed analytics contracts, and created a QA checklist so releases didn’t stall. We went from 2 to 6+ tests/month and finally learned what moved revenue.
“Their MondayPOS ERP rollout gave us 98.5% inventory accuracy and cut checkout time by 40%, game changer.”
Shrink and price disputes were draining margins. Mondaysys ran a full stock audit, mapped barcodes to variants, and enforced pricing rules at POS. Cashiers stopped overriding prices; managers got real-time stock lines got shorter, errors vanished.
“Personalized recommendations from Mondaysys boosted AOV by 18% and repeat purchases by 12%.”
Customers couldn’t find the right shades, so carts stayed small. Mondaysys cleaned our catalog, trained an AI ranker on purchase + browse signals, and launched bundles for cold-start users. Discovery felt human, baskets grew overnight.
From Major Cities to Emerging Markets, We Deliver Reliable Service Wherever You Need it.
Frequently Asked Questions
What is A/B testing (in one sentence)?
A controlled experiment that splits traffic between two (or more) versions to measure which one improves a target metric (e.g., conversion rate, revenue per visitor).
Why is A/B testing important for my website?
It turns guesses into measured wins, reduces redesign risk, and compounds revenue by shipping only what proves to lift your KPIs.
How long should a test run?
Often 1–2 weeks (sometimes longer) to cover behavior cycles and reach a trustworthy sample; exact duration depends on traffic, baseline conversion, and expected lift.
Will A/B testing hurt my SEO?
No—when done correctly (no cloaking, use 302s for temporary redirects, use rel=canonical, don’t run tests for excessive durations). This is straight from Google’s guidance.
Can I still use Google Optimize?
No, Google Optimize sunset on September 30, 2023. We migrate clients to platforms like Optimizely, VWO, Convert, AB Tasty, LaunchDarkly, or Statsig.
What if my site has low traffic can I still test?
Yes: run higher-impact changes, use site-wide tests, combine micro-conversions, or use methods like sequential analysis and Bayesian approaches; supplement with research (surveys, recordings, heuristic reviews).
What does your “A/B Test Development” include?
End-to-end build: spec → design → engineering (platform-agnostic) → analytics tagging → cross-device QA → launch → monitor → analyze → ship winner → document learning.
Do you handle QA and analytics?
Yes. We pressure-test variants across devices/browsers, validate events (GA4/Segment/Adobe), and share QA checklists and test readouts.
Can Mondaysys work with our existing team?
Absolutely. We plug in as an experimentation pod or augment design/engineering/analytics to increase velocity without disrupting your process.
What tools do you support?
Optimizely, VWO, Convert, AB Tasty, Dynamic Yield, Adobe Target, Kameleoon, LaunchDarkly/Statsig (feature flags), and custom frameworks. We integrate with GA4, Segment, Adobe, Looker, and your data warehouse.
How do I get started with Mondaysys?
Book a quick discovery. We’ll run a rapid audit (traffic, analytics, tech stack), propose a 90-day experiment plan, and start with a pilot test.
How do I hire a great Shopify developer (fast checklist)?
Look for: (1) theme & Liquid mastery, app/extensibility, and Shopify CLI; (2) performance (Lighthouse, LCP/CLS), accessibility, and SEO basics; (3) experience with Shopify Plus, checkout extensibility, Scripts/Functions; (4) analytics/GA4 events; (5) clear comms, clean Git habits, and QA discipline. Ask for code samples and shipped storefronts.
Can you A/B test on Shopify?
Yes, theme variants, templates, sections, PDP, cart, and (with Plus/eligible setups) certain checkout experiences via approved methods or platform tools; Shopify publishes guidance for merchant-assigned testing in specific components.
Do you build custom Shopify features too?
Yes. We handle theme builds, app integrations, performance tuning, internationalization, subscriptions, and CRO-driven UX updates.
How much do your services cost?
We scope to your goals and traffic. Typical models: (1) Experimentation Pod (monthly retainer) for steady velocity; (2) Fixed-fee pilot (audit + 1–2 launches); (3) Project-based Shopify builds. Request a tailored plan after a 30-min discovery.
Do you support Bayesian or frequentist analysis?
Both, we choose based on your data volume, decision cadence, and stakeholder preference, and we document assumptions either way.
What if a test is inconclusive?
We capture the learning, refine the hypothesis, and iterate (bigger change, better targeting, or different step in the funnel).
How many conversions do I need to trust a result?
There’s no single magic number it depends on baseline rate and desired lift. We estimate sample size up front and won’t call a winner before confidence thresholds are met.
How quickly can you launch the first test?
Commonly 1–2 weeks after access and audit (faster if your tagging and environments are ready).
Will experiments slow down my site?
Our builds are performance-first (async loads, minimal blocking, code splitting). We monitor Core Web Vitals on variant and control.
Do you migrate teams off Google Optimize?
Yes, assessment, tool selection, event parity, QA, and phased cutover from Optimize to an enterprise-grade platform.
Can you coordinate with our SEO team during tests?
Yes, we follow Google’s testing guidance (302s, rel=canonical, no cloaking) and share test scopes/URLs so SEO stays healthy.
How many conversions do I need to trust a result?
There’s no single magic number it depends on baseline rate and desired lift. We estimate sample size up front and won’t call a winner before confidence thresholds are met.
What if a test is inconclusive?
We capture the learning, refine the hypothesis, and iterate (bigger change, better targeting, or different step in the funnel).
How quickly can you launch the first test?
Commonly 1–2 weeks after access and audit (faster if your tagging and environments are ready).
Will experiments slow down my site?
Our builds are performance-first (async loads, minimal blocking, code splitting). We monitor Core Web Vitals on variant and control.
Do you migrate teams off Google Optimize?
Yes, assessment, tool selection, event parity, QA, and phased cutover from Optimize to an enterprise-grade platform.
Can you coordinate with our SEO team during tests?
Yes, we follow Google’s testing guidance (302s, rel=canonical, no cloaking) and share test scopes/URLs so SEO stays healthy.