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Ecommerce Software Development Services
Our Services
Custom Ecommerce Software Development
Custom Ecommerce Software DevelopmentWe start from scratch when developing new platforms and carry out reconstructions where necessary. We make use of the code and tools that you already have. We help you to scale up. The normal period takes between 6 and 12 months, and the typical cost is between $150K and $500K.
Ecommerce Mobile App Development
Ecommerce Mobile App DevelopmentWe create applications for iOS and Android, using React Native in order to speed them up; the timeline is between 4 and 8 months, and such apps are appropriate for brands that sell directly to customers and desire mobile sales.
Ecommerce Web Development
Ecommerce Web DevelopmentTo speed up websites and boost conversion rates, construct the front-end components. Page load time is reduced from an average of 5 seconds to 1.2 seconds as a result of the project. The typical scope involves a complete redesign that takes between 8 and 14 weeks. We make use of React, Next.js, and Vue.
Ecommerce AI Development
Ecommerce AI DevelopmentWe make AI tools for use in the e-commerce sector. We produce advisory systems, forecasting tools, and pricing systems. In the case of one client, the use of our tool resulted in a rise in repeat sales of 18 per cent. With respect to another client, a large sum of money was saved through reduced waste; they achieved a reduction in waste of $120K per year as a result of using our forecasting system.
Ecommerce Software Integration
Ecommerce Software IntegrationYour ecommerce platform can be linked to an ERP system, an accounting system, a logistics system, or to third-party fulfillment systems; typical examples of such integrations are SAP, NetSuite, Shopify Plus, Klaviyo, and the 3PL APIs.
Ecommerce Data Analytics Solutions
Ecommerce Data Analytics SolutionsIt is possible to create custom dashboards which track revenue according to channel, customer cohort, SKU, or geography and that are in real time synced with Snowflake or BigQuery; in one case the client was able to reduce their reporting cycle from weekly to hourly.
Ecommerce Cloud and Application Modernization
Ecommerce Cloud and Application ModernizationSwitch from a monolithic structure to using microservices or a serverless architecture; for instance, one project migrated its outdated PHP platform to Node.js and AWS Lambda, which led to a 35% reduction in infrastructure costs.
Ecommerce Software Solutions We Build
Shopping Cart and Checkout Platforms
In the retail sector the rate of cart abandonment is 70 per cent, but by using one-click payment, guest checkout and saved cards our checkouts bring it down to between 45 and 52 per cent. The system accepts 8 or more payment methods and is PCI Level 1 certified.
Product Information Management Systems
Centralise the product data across all sales channels. The system handles between 50,000 and 500,000 SKUs and features real-time synchronisation with the storefronts, apps, and marketplaces. A fashion brand reduced its product upload time by 60%.
Inventory and Order Management Software
The inventory is constantly monitored in all warehouses and through all distribution channels and this prevents the issue of overselling; the system automatically issues low-stock warnings and as a result one direct-to-consumer brand was able to reduce its stockouts by 75% and cut its excess inventory by 18%.
Customer Data Platforms
Gather customer data from the web, the app, email, and the CRM system, then divide the customers into segments according to their behaviour, purchase value, and churn risk. One SaaS company raised its email campaign open rates from 12% to 24%.
Payment Processing and Reconciliation
We are able to handle payments, match them with the accounting records, and identify cases of fraud. The system accepts credit cards, digital wallets, ACH, and local payment methods and has built-in PCI compliance, tokenization, and chargeback handling.
Marketplace and Multi-Vendor Platforms
The system is based on a multi-vendor model and can support between 100 and 10,000 sellers, providing each vendor with a dashboard, commission tracking services, dispute resolution facilities, and automatic payouts. Each client recruits 30 new sellers monthly.
Customer Loyalty and Retention Tools
Systems such as points schemes, referral programmes and VIP levels can lead to an increase in customers making repeat purchases by between 15 and 30 percent. When these systems are combined with email and SMS services, a brand which has taken this approach has managed to reduce churn by 12 percent.
Returns and Refunds Management
Reduce manual processing by 80 per cent by automating the workflow from request to refund. Track return rates according to product and reason. Pattern analysis is able to identify abuse.
Personalized Recommendation Engines
You can boost the average order value by 18 to 35 per cent through the use of item recommendations. The system features both content-based and collaborative filtering and has the capability of carrying out A/B testing. A particular grocer managed to increase their cross-sell rate by 42 per cent.
Mobile Commerce Applications
Shopping apps that are used by natives and those that are cross-platform include push notifications, exclusive offers for the app, and one-touch checkout; in the case of one brand, the app represents 40% of orders but 60% of the gross margin.
AI Solutions for Ecommerce
AI Product Recommendations
Recommendation methods employ collaborative filtering or neural networks; average order value usually rises by 18 to 35 percent, and the cold-start problem is dealt with by using a content-based approach.
Demand Forecasting
Forecasts for SKU demand on a weekly or daily basis are possible, which in turn helps to decrease both excess inventory and stockouts. One apparel brand managed to reduce its annual inventory waste by $120K. This approach takes into account past sales and seasonality.
Chatbots for Customer Support
The company provides 24-hour chatbot support based on LLM technology to answer questions about refunds, returns, and shipping. It is able to resolve 65% of chat inquiries without needing to involve a human agent and reduces support costs by 40%.
Fraud Detection and Prevention
Machine learning frameworks are able to detect suspicious transactions in real time, reducing fraud losses by 60 to 75 percent while maintaining a false-positive rate of less than 1 percent; a payment processor which adopted this method saw its chargeback rate decrease by 3.2 percent.
Dynamic Pricing Optimization
Price should be set in light of demand, the amount of inventory available, and the prices charged by competitors. Profit margins must rise by 3 to 8 percent; in one instance an electronics retailer was able to gain an additional annual revenue of $2.1 million without losing its cost-conscious customers.
Search and Navigation AI
The search feature is based on semantic understanding and allows for typo tolerance since this helps to decrease the number of 'no results' pages; for one brand the search click-through rate rose by 22 per cent and results are sorted according to user preferences.
Customer Behavior Analytics
Get a clear understanding of the purchasing process, identify where customers abandon their carts, and learn about the high-value behaviours. A direct-to-consumer brand discovered that cart abandoners who had 'free shipping' in their cart are three times more likely to convert if they are given $3 off.
Ecommerce Software Features
Search and Filtering
The system enables fast and faceted searches covering between 50,000 and 500,000 products, accepts typos, and allows filtering according to brand, price, rating, and colour; furthermore, autocomplete functions with common search terms. A single retailer achieved a reduction of 80% in its 'no results' pages.
Shopping Cart Management
The cart is kept between sessions, and carts are saved. The quantity limits are determined by the inventory level. Dynamic pricing is available. Updates can be made with a single click. The site is designed to be used on mobile devices. When the user's cart experience is good, the average value per user session cart rises by 12%.
Checkout and Payment Processing
The checkout process is either one page or carried out in multiple steps, offering choices for both guest and registered users, supporting eight or more payment methods, including address verification and promo code usage, having a one-click reorder feature for customers who buy repeatedly, and being certified at PCI Level 1.
Order Tracking and Fulfillment
You are provided with up-to-date information about the status of your order from the moment it is placed right through to the time it is delivered; the system features webhooks to enable integration with 3PLs and sends out notifications to customers. It is also capable of detecting faults before they occur. Consequently, one brand was able to reduce its number of support queries by 25% by using a single tracking page.
Inventory Management
By synchronizing its stock in real time throughout all channels, issuing low-stock alerts, automatically placing reorders, providing the facility for barcode scanning, and carrying out cycle count automation, one warehouse was able to cut its inventory discrepancies by 90%.
Customer Profiles and Preferences
A single customer view covers a customer's purchase history, their preferences, loyalty status, wish lists, and their email preferences. The customer profile page for one brand is able to load data for 10 million customers in less than 100 milliseconds.
Personalization and Recommendations
Tailor the homepage, email, and app; include an A/B testing framework when it comes to placing recommendations on product and checkout pages; the average order value rises by 18 to 35 per cent; an A/B testing framework is built in.
Marketing Automation
Emails, SMS messages, and push notifications which are sent as a result of customer behaviour. This covers marketing campaigns aimed at customers who have abandoned their carts, those sent after a purchase, and those designed to win back customers. Revenue from one brand's email marketing was increased by 45 per cent through the use of automation.
Analytics and Reporting
The dashboard displays revenue information according to channel, product, geography, and customer cohort and also contains data on cohort retention, CAC, and LTV; real-time dashboards are linked to either Snowflake or BigQuery.
Returns Management
Customers start the return process, which is then monitored using a QR code and is automatically refunded, with the return rate being broken down by product; the single brand's returns portal reduced the number of support tickets by 35%.
Ecommerce Security, Payments and Data Protection
PCI DSS Compliance
All payments are processed in accordance with PCI Level 1 standards and are subject to annual audits. When it comes to the data from the cards, it is replaced with tokens. Your environment does not store the card numbers, a fact which has been checked by independent auditors.
Encryption and Protected Data Storage
Sensitive data must be protected by means of end-to-end encryption; when the data is at rest it should be encrypted using AES-256 and when it is in transit TLS 1.2 or a later version should be used. The database should also be encrypted and the system must never log or cache any customer data.
Payment Gateway Integration
It is compatible with Stripe, Square, Adyen, Authorize.net, and PayPal and has failover logic; it deals with reconciliation with accounting systems, makes use of PCI tokenization, provides fraud scoring, and keeps records of chargebacks.
Fraud Identification Systems
Assessing transaction risk in real time, detecting suspicious ordering patterns, blocking IP address ranges known to be linked with fraud, and using device fingerprinting. A payment processor managed to cut its fraud losses by 60%.
Access Control and Authentication
Access control is based on roles, which are assigned to admin, staff, and customer. Admin users are required to use two-factor authentication. The API keys are rotated periodically. Access logs from one retailer show that there have been no unauthorized administrative actions.
Customer Data Privacy
We are ready to comply with the GDPR and the CCPA. We have data retention policies, automated mechanisms for deleting data, automated privacy policies, and cookie consent. One brand managed to reduce its legal risk audit findings by 90%.
Ecommerce Software for Different Organizations
Software for Startups
Construct the ecommerce platform as a minimum viable product within an 8- to 12-week timeframe, with a focus on the key features including the catalog, cart, checkout, and email. The migration will be carried out at a later stage. The typical cost falls between $80K and $150K and the business is anticipated to grow by introducing a mobile app, analytics, and AI.
Software for SMBs
We should either rebuild or improve the current platform; the project must take between 4 and 8 months, with a focus on performance, conversion, and retention, and usually has a cost ranging from $150K to $300K. The marketplace, subscription, or AI features should be added one at a time.
Software for Large Enterprises
The system has been specially built, is capable of supporting a number of brands, involves complex fulfillment, extends to both the business-to-business and business-to-consumer sectors, takes between 6 and 18 months to complete, costs between $300K and $1M or more, incorporates integration with ERP, WMS, and other third-party systems, and demands high availability.
Software for D2C Brands
The ability to control and move quickly with regard to the brand, ownership of customer data, integration with email marketing, the availability of subscription options, a mobile-first approach, and average project costs ranging between $150K and $400K with a duration of 6 to 12 months.
Software for Marketplace Operators
The system has a multi-vendor architecture, offers commission tracking, features vendor dashboards, automatically makes payouts, includes a dispute resolution process, and provides seller support tools. The length of the project is between 9 and 15 months, and the cost lies between $300K and $800K.
Software for B2B Ecommerce
Bulk ordering, quote workflows, net-term purchase orders, and custom pricing according to customer tier are all available. The system also features catalog and content management as well as having integrations with NetSuite, SAP, and Coupa. The project will last from 8 to 14 months and has a budget ranging from $200K to $600K.
Why Choose Cypherox for Ecommerce Software Development
We Get Ecommerce Economics
As ecommerce businesses grow, their profit margins decline. We manage to reduce the cost of our infrastructure on a per-order basis and cut down the amount of time spent on manual tasks. For one client, the entire cost of our engagement was recovered through cost savings within 18 months.
Proven Track Record at Scale
We have developed platforms which generate annual revenues ranging from $5 million to $500 million; the most up-to-date project of ours deals with 100,000 transactions every day and has an average uptime of 99.9 per cent. Our special expertise in the ecommerce sector causes there to be fewer unforeseen problems.
Deep Team With Real Ecommerce Work
Three senior engineers have spent over four years working at e-commerce companies (Shopify, StockX, Faire). They have spent the night at 2 AM debugging payment integrations and know what goes wrong; those who have scars will be able to detect problems in your code.
You Direct All Work, Own All Code
There is no offshore mystery team; rather, you will meet your dedicated team on a weekly basis. You will have full access to the code from the very first day, and we won't lock you in or resell your product. You possess absolute ownership.
Transparent Roadmap and Cost
We have a detailed schedule that shows the milestones and costs over the 12 weeks, with no surprise change orders; if there is a change to the scope, we will show you how it will affect the cost before you commit, since the average variance for projects is 8%.
We Stay After Launch
Post-launch support is offered by default and includes bug fixes, performance tuning, and advice on how to scale during peak seasons; a company decided to renew its annual support since the system's ability to handle peak-season traffic prevented a crisis.
Projects
Our Projects
Technology Stack for Ecommerce Software Development
Front End Development Technologies
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React.js
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Angular
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Vue.js
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HTML5
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CSS3
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JavaScript ES6
Backend Development Technologies
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Node.js
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Django
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Ruby on Rails
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Spring Boot
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.NET Core
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PHP Laravel
Database & Cloud Solutions
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PostgreSQL
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MongoDB
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MySQL
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AWS
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Microsoft Azure
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Google Cloud Platform
Reviews
Appreciation From Clients
"Incredible Collaboration!"
"Our journey with Cypherox Technologies was exceptional. Their dedication to understanding our needs and translating them into a stunning app was commendable. Kudos to the team for their professionalism and top-notch delivery!"
"Exceeded Expectations!"
"Cypherox not only met our expectations but surpassed them. Their attention to detail and commitment to quality shone through in every phase of app development. Thanks for bringing our vision to life!"
"A True Partner!"
"Working with Cypherox Technologies was like having a supportive partner throughout the entire process. Their proactive communication and unwavering support made the app development journey smooth and enjoyable. Highly recommended!"
"Outstanding Results!"
"Choosing Cypherox was the best decision we made for our app development. Their expertise and dedication led to outstanding results. We're thrilled with the final product!"
Hire Dedicated Developers
Hire Dedicated Ecommerce Software Developers
If you need to expand your team then you can hire a dedicated developer, an architect or the entire team; we will look after the vetting, onboarding and provide support. The rates range from $6000 to $12000 per month according to seniority and position.
Hire Experts DeveloperFAQs
Frequently Asked Questions About Ecommerce Software Development
How much does it cost to build a custom ecommerce platform?
The MVP will cost between $80K and $150K and take 8 to 12 weeks to complete. For the full platform, including payments, inventory, and marketing, it costs between $150K and $400K and takes 4 to 8 months. For an enterprise solution with integrations and AI, pricing ranges from $300K to over $1M, and the timeline is 6 to 18 months.
How long does ecommerce software development take?
The timeline is 8 to 12 weeks for an MVP, 4 to 8 months for a mid-market platform, and 6 to 18 months for a large enterprise platform with integrations. The exact duration depends on scope and team size.
What should an MVP ecommerce platform include?
Catalog, search, cart, checkout, payment processing, email confirmation, order history. Skip: subscription, B2B, marketplace, recommendation engine. Add later. MVP goal: validate idea.
Can you integrate our platform with Shopify Plus or BigCommerce?
Yes. We've integrated with both. Typical scope: 4-8 weeks. Handles sync of products, inventory, orders, and customers between platforms.
What payment methods does your platform support?
Credit cards (Visa, Amex, Discover), digital wallets (Apple Pay, Google Pay), PayPal, local methods (Alipay in CN, Klarna in EU). Fraud scoring and chargeback handling included.
How do you reduce cart abandonment?
One-click checkout, guest purchases, saved cards, email reminders, and calculated discounts. Our checkouts reduce abandonment from the 70% industry average to 45-52%. A/B testing included.
Can your platform handle high-traffic events like Black Friday?
Yes. Tested up to 100K concurrent users. Auto-scaling on AWS. CDN for static assets. One brand processed 500K orders in 48 hours during peak, with no downtime.
Do you provide post-launch support and maintenance?
Yes. Standard package: bug fixes, performance monitoring, peak-season scaling, and monthly reviews. One brand's support plan prevented a crisis during an unexpected 3x traffic spike.
Can we add AI recommendations to our existing ecommerce platform
Yes. The recommendation engine integrates via API. Typical scope: 6-10 weeks. Lifts AOV by 18-35%. One brand's engine trained on 2 years of historical data.
