MondayPOS: Supermarket ERP
Run every aisle, checkout, and back office from a single, intelligent platform built on Frappe (Python backend) and extended with custom apps for modern supermarkets and hypermarkets.
MondayPOS connects POS, inventory, purchase, pricing, promotions, and accounting into one unified system. From fresh food counters to bulk items and FMCG, manage thousands of SKUs, real-time stock, and multi-branch operations with ease.
End-to-End Supermarket Operations in One System
Smart, Fast POS for Busy Checkouts01
Lightning-fast billing, barcode scanning, and item search even with tens of thousands of SKUs. Park and resume bills, split payments, accept multiple tenders, handle returns, refunds, and discounts directly at checkout.
Real-Time Inventory & Stock Control02
Track stock in real time across shelves, back store, and multiple branches. Manage batches, expiry dates, and units of measure (cartons, packs, pieces). Automate stock transfers, stock reconciliations, and low-stock alerts so you never lose sales due to stock-outs.
Powerful Pricing, Offers & Promotions03
Run complex supermarket promotions: buy-one-get-one, mix-and-match, combo packs, happy hours, member pricing, and branch-specific offers. Create flexible pricing rules by brand, category, customer group, or time period – and push them instantly to all POS terminals.
Purchase, GRN & Supplier Management04
Create purchase orders from demand forecasts and min/max levels. Manage GRNs (Goods Received Notes), landed cost allocation, supplier price lists, and credit terms. Track pending POs, delivery delays, and cost changes with full visibility.
Customer Profiles & Loyalty05
Capture customer data at checkout, manage loyalty points, and issue digital or printed membership cards. Reward frequent shoppers, track basket size and frequency, and run targeted SMS/WhatsApp/email campaigns.
Financials & Accounting, Fully Integrated06
Every sale, return, discount, and expense flows directly into your accounts. Automate day-end cash reconciliation, outlet-wise P&L, tax/VAT reports, and management dashboards – no manual data entry between POS and accounting.
Multi-Branch & Franchise Ready07
Support multiple branches, warehouses, and franchise outlets from one centralized system. Standardize master data (items, barcodes, prices), while allowing branch-specific stock, offers, and approvals.
Role-Based Access & Audit Trails08
Define roles for cashiers, floor supervisors, store managers, finance, and procurement. Control what each role can see and do, and keep full audit trails of overrides, voids, discounts, and price changes.
Modern, Scalable Stack Built on Proven Platforms
MondayPOS is built on a modern, scalable stack that combines the reliability of Frappe, the retail power of MondayPOS, and our own supermarket-specific custom apps. Deployed on cloud or on-premise, it’s designed for high-volume checkout, real-time inventory, and multi-branch operations, while open APIs make it easy to integrate payment gateways, loyalty systems, and e-commerce platforms into one connected ecosystem.
Frappe (Python backend) at the Core
A robust, open-source ERP providing modules for Accounting, Inventory, Purchase, Sales, HR, and more – giving MondayPOS a stable, enterprise-grade backbone.
MondayPOS for Retail-Grade POS
A feature-rich POS framework tightly integrated with ERPNext, optimized for high-volume retail environments with offline support, multiple payment modes, and flexible UI for cashiers.
Custom Apps for Supermarket-Specific Needs
We extend ERPNext and POSAwesome with custom apps tailored to supermarkets and hypermarkets: Advanced promotion and campaign engine. Shelf label & barcode printing. Mobile stock-counting and auditing tools. Custom dashboards for store managers and management.
Cloud or On-Premise Deployment
Flexible deployment: host on your own servers or in the cloud. Support for containerized setups, automated backups, and secure remote access.
API-First & Integrations
Integrate with payment gateways, e-commerce storefronts, loyalty platforms, and 3rd-party systems through REST APIs and webhooks.
Turn Your Supermarket Data into Daily Decisions
Reduce Stock-Outs & Over-Stocking
Speed Up Checkout & Improve Customer Experience
Maximize Margin with Intelligent Pricing
Get One Version of the Truth
Scale Easily as You Grow
Lower Total Cost of Ownership
Implementation Process
01. Discovery & Requirements Mapping
We sit with your team to understand current processes: purchasing, goods receiving, pricing, promotions, POS flow, and reporting. We map each requirement to MondayPOS.
02. System Design & Configuration
We configure chart of accounts, warehouses, item groups, barcodes, tax rules, and user roles. Custom workflows, approvals, and promotions are set up to match your exact business rules.
03. Data Migration
We import master data (items, barcodes, suppliers, customers, opening stock) from Excel/legacy systems, validating and cleaning data to avoid future issues.
04. Customizations & Integrations
Where needed, we build custom apps (e.g., special promotion logic, integrations with scales, payment terminals, or e-commerce platforms).
05. User Training & UAT
We train cashiers, store managers, buyers, and finance teams. Then we run User Acceptance Testing in a pilot environment to catch and fix gaps.
06. Go-Live & Hypercare
We support you through cutover, first stock counts, and the initial weeks of operation, ensuring POS, inventory, and reporting are running smoothly.
07. Ongoing Support & Continuous Improvement
After go-live, we remain your long-term partner for enhancements, new branches, and performance tuning.
Why Choose MondayPOS?
What Our Supermarket Partners Say
From single stores to growing hypermarket chains, retailers trust MondayPOS to simplify daily operations, speed up checkout, and keep shelves stocked. Hear how our customers have improved control, reduced errors, and gained real-time visibility across every branch.
“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.
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.
