In 2027, leading retailers will favor omnichannel applications that link customer interactions with the back-office systems of inventory, transactions, loyalty, order management, customer data, and AI-based suggestions.

One such application may offer a customer an AI assistant for product hunting, price and availability checks at neighboring stores, personalized offers, payment, and delivery tracking. To support such an end-to-end customer journey, the retailer must have real-time data exchange across connected platforms.

The same suite of technologies should facilitate operational tasks. With mobile solutions, staff can check inventory, prepare orders, provide customer support, and fulfill orders in a store.

AI is prevalent in the design of retail apps. AI assistants are already used in product discovery, personalized recommendations, customer service, and automation of checkout. IDC forecasts that in the near future, AI agents will be the main tool via which customers will interact with and purchase products. Because of this, the quality and flexibility of a retailer’s data will be critical.

When companies choose retail software development partners, mobile development skills will no longer be the only consideration. The right provider should understand retail operations, commerce platforms, customer data, integrations, and AI implementation.

This piece covers 15 custom retail app development companies with different areas of expertise, from enterprise commerce applications and loyalty platforms to AI-powered shopping experiences and connected retail ecosystems.

15 Custom Retail App Development Companies for Omnichannel, AI, and Retail Innovation

This list includes custom development companies, ecommerce platform providers, and technology consulting firms that help retailers build mobile apps, digital commerce platforms, AI-powered shopping experiences, and connected retail solutions.

1. Computools

Best fit: Connecting retail systems and building AI-powered commerce experiences

The app is where the customer discovers the product, evaluates alternatives, receives tailored offers, and ultimately completes the purchase. The challenge is making these experiences reflect what is happening inside the business, from inventory availability and pricing rules to loyalty data and order fulfillment.

Computools works with retailers that need custom applications connected to their commerce ecosystem. The company offers a combination of app development, integration, automation, and AI capabilities to build digital experiences that help retailers champion their customers and their business operations.

A prime example is Vintaro Auctions, where the team developed a digital auction platform that brought buyers, sellers, bidding processes, and payments together in one marketplace.

The platform features:

• real-time auction management;
• user accounts and bidding workflows;
• secure payment processing;
• administrative management tools;
• interactions between marketplace participants.

The project reflects Computools’ approach to retail technology. They engineer applications with the workflows, integrations, and customer interactions that make the platform useful beyond a standalone shopping interface.

Through mobile and web app development, the company creates retail applications that combine commerce, customer data, and AI capabilities:

• digital shopping experiences with personalized recommendations and intelligent search;
• loyalty modules that use customer behavior data to create relevant offers;
• AI shopping assistants for product discovery and customer support;
• internal retail tools for inventory, orders, and employee workflows;
• integrated retail platforms that bring together commerce systems, customer data, and operational workflows.

Computools is especially relevant for retailers that need applications designed around their business processes, with connections to the systems that manage products, customers, inventory, and transactions.

2. Adobe Commerce

Best fit: Enterprise ecommerce applications and complex digital storefronts

• product catalog management;
• promotions;
• customer accounts;
• B2B commerce;
• integrations with enterprise systems.

3. Shopify

Best fit: Fast-growing retail brands and omnichannel commerce

Shopify is widely used by retailers that need to launch and expand digital commerce channels quickly. Its ecosystem supports:

• online stores;
• mobile shopping;
• payments;
• marketing integrations;
• merchant tools.

The platform is particularly relevant for brands that want to scale ecommerce operations without building every commerce component from scratch.

Retailers using Shopify often extend the platform through custom applications, integrations, and specialized customer experiences.

4. Salesforce Commerce Cloud

Best fit: Retail experiences built around customer data

Salesforce Commerce Cloud focuses on connecting commerce activities with customer relationship data. Its services cover:

• ecommerce;
• personalization;
• customer profiles;
• marketing automation;
• loyalty integration.

The platform fits retailers that want stronger connections between customer behavior, product recommendations, and marketing activities.

For example, a fashion retailer can combine browsing history, purchase data, and loyalty information to create more relevant offers across digital channels.

5. EPAM Systems

Best fit: Complex retail applications and enterprise integrations

EPAM focuses on engineering large-scale digital platforms for companies with complex technology environments. Its retail work includes:

• mobile applications;
• ecommerce platforms;
• cloud solutions;
• data platforms;
• enterprise integrations.

The company is relevant for retailers that need custom applications connected with existing business systems.

A large retailer managing multiple brands, regions, and commerce channels may work with EPAM to build applications that connect customer experiences with internal operational systems.

6. Globant

Best fit: AI-powered retail experiences and digital products

Globant focuses on digital product development, customer experiences, and emerging technologies. Its retail-related engineering supports:

• mobile applications;
• AI solutions;
• cloud platforms;
• digital experience development.

The company is often selected by retailers building new customer-facing products, such as shopping applications, loyalty experiences, and AI-supported commerce tools.

7. Accenture

Best fit: Enterprise retail transformation programs

Accenture supports global retailers managing large technology modernization initiatives. Its retail expertise comprises:

• commerce platforms;
• AI implementation;
• customer experience programs;
• cloud transformation;
• enterprise technology strategy.

The company is typically involved when retail transformation affects multiple business areas, including customer engagement, supply chain operations, and enterprise systems.

A multinational retailer may work with Accenture when it needs to coordinate technology changes across regions, brands, and operational teams.

8. IBM Consulting

Best fit: AI adoption and enterprise retail modernization

IBM Consulting works with retail chains that need to incorporate AI, automation, and data-driven decisions when dealing with complex business environments. Its services are well-suited for:

• AI implementation;
• analytics platforms;
• automation;
• cloud modernization;
• enterprise system integration.

The company is relevant for large retailers that aim to merge customer data, operational data, and AI across many business units.

A typical project may involve combining ecommerce data, loyalty information, inventory systems, and customer service workflows to create more personalized and automated retail experiences.

9. Intellectsoft

Best fit: Custom retail applications and digital commerce platforms

Intellectsoft develops custom applications for businesses that need software tailored to their operational requirements. Its retail offerings feature:

• mobile applications;
• ecommerce platforms;
• enterprise software;
• cloud solutions;
• system integrations.

The company is relevant for retailers building specialized applications, such as customer portals, internal retail tools, or digital commerce platforms connected with existing systems.

10. ScienceSoft

Best fit: Retail applications for customer engagement and operations

ScienceSoft develops custom software for retailers that need applications supporting both customer-facing and internal processes. Its retail-related portfolio covers:

• ecommerce applications;
• inventory management tools;
• customer engagement platforms;
• analytics solutions.

The company fits retailers that need targeted applications solving specific operational challenges. For example, a retailer may require a custom inventory application that connects store data, warehouse information, and product availability across multiple locations.

11. Andersen

Best fit: Mobile commerce applications and enterprise software development

Andersen provides custom software development services for companies building digital products and business applications. Its retail experience is centered on:

• mobile applications;
• ecommerce solutions;
• integrations;
• business automation.

The company is relevant for retailers that need dedicated engineering support for customer applications, internal tools, or commerce platforms.

12. Netguru

Best fit: Digital products for growing retail brands

Netguru focuses on digital product development, particularly for companies building customer-facing applications. The team works with:

• mobile applications;
• ecommerce products;
• UX-focused development;
• cloud solutions.

The company is often selected by growing brands that need a digital product partner for launching or expanding online retail experiences.

13. WillowTree

Best fit: Premium mobile customer experiences

WillowTree specializes in mobile applications and digital experiences for customer-focused brands. Its strengths include:

• mobile commerce applications;
• user experience design;
• digital products;
• customer engagement platforms.

The company is relevant for retailers where the mobile experience is a major part of brand interaction.

A retailer investing in a high-quality shopping application, loyalty experience, or customer engagement platform may consider WillowTree for its mobile expertise.

14. BairesDev

Best fit: Scalable retail engineering capabilities

BairesDev provides software engineering services for companies developing and maintaining digital products. Its retail-related projects cover:

• application development;
• cloud engineering;
• AI development;
• customer service.

Partnering with this company allows retail businesses to build, expand, and maintain their retail applications.

15. Thoughtworks

Best fit: Modern retail technology and AI-assisted customer interactions

Thoughtworks works with retailers that need to modernize their technology environments, build digital products, and introduce new capabilities powered by data and AI. Its retail expertise supports:

• digital commerce platforms;
• customer experience applications;
• cloud modernization;
• data platforms;
• AI implementation;
• enterprise integrations.

The company is relevant for retailers that need to get beyond a collection of individual tools and build cross-channel integrated digital ecosystems encompassing their online channels, physical stores, customer data, and internal operations.

For instance, a retailer looking to sell across new digital channels may choose Thoughtworks to help them rework their commerce infrastructure, connect their customer data, and create new digital services for more customized shopping.

What Retailers Should Evaluate Before Choosing an App Development Partner

Retail applications have a major impact on the business as a whole. Before selecting a technology partner, companies should evaluate several capabilities.

AI and Personalization

Modern retail apps increasingly use AI for:

• product recommendations;
• conversational shopping assistants;
• personalized offers;
• customer segmentation;
• intelligent search.

A strong partner should understand how to connect AI capabilities with product catalogs, customer profiles, inventory data, and purchasing history.

Commerce and System Integration

A retail app rarely works independently. It usually connects with:

• ecommerce platforms;
• POS systems;
• ERP solutions;
• CRM platforms;
• order management systems;
• payment providers;
• loyalty platforms.

Integration experience determines whether the application becomes part of the retailer’s operating environment.

Omnichannel Customer Experience

Retailers need applications that connect online and offline shopping. Relevant capabilities include:

•  
• real-time inventory availability;
• digital loyalty cards;
• personalized promotions;
• mobile payments;
• customer accounts.

Retail Operations

Enterprise retailers increasingly use apps beyond customer shopping. Internal applications support:

• inventory verification;
• employee workflows;
• warehouse coordination;
• store operations;
• customer service.

How to Choose Among Custom Retail App Development Companies

The main decision factor is the business process the application needs to support. A retailer improving digital sales needs a partner that understands commerce and customer experience. A company introducing AI needs expertise in data and automation. A retailer connecting stores and online channels needs experience with enterprise integrations and operational workflows.

Retail objective	Partner capabilities to prioritize
Mobile commerce application	Mobile development, ecommerce integration, payments, customer accounts.
AI shopping assistant	AI models, product data management, customer analytics, conversational interfaces.
Loyalty platform	CRM integration, personalization, rewards logic, customer data management.
Omnichannel retail experience	POS, OMS, ERP, inventory integration, unified customer profiles.
Marketplace application	Seller management, bidding/order workflows, payments, user management.
Retail operations app	Inventory tools, employee workflows, analytics, store system integration.

Before selecting a provider, retailers should also evaluate how well the company understands retail processes. An application may have an attractive interface, but its long-term success depends on how well it connects with product data, inventory availability, fulfillment processes, payments, and customer information.

Final Thoughts

Retail apps in 2027 will serve as the connection layer between shoppers and the systems that run retail operations. The most effective applications combine personalized experiences with real-time inventory, customer data, payments, order management, and AI-powered recommendations.

Companies such as Computools focus on building custom retail applications that connect with existing commerce environments, while Adobe Commerce, Shopify, and Salesforce Commerce Cloud provide established platforms for retailers with specific ecommerce requirements. EPAM, Globant, IBM Consulting, Accenture, and other providers bring different combinations of engineering, AI, consulting, and enterprise expertise.

The right partner depends on the capability a retailer needs to build. For instance, launching a new shopping channel, creating a loyalty ecosystem, connecting online and store operations, or introducing AI into customer and business workflows.

The most valuable retail applications are built around the full commerce process. The team has to take into account how customers discover products, how retailers manage inventory and orders, and how teams use data to make decisions. The key consideration is choosing technology that fits existing operations while creating room for new retail capabilities.