Our AI solutions improve product discovery with RAG-enhanced search, deliver personalized recommendations, automate catalog enrichment, and streamline everyday retail operations.
We deploy multi-step LLM agents in retail workflows to handle pricing analysis, inventory recommendations, and customer queries, orchestrated via LangChain and vector DBs for predictable, scalable automation.
We integrate AI-driven task automation decks across order management, merchandising, and logistics using Python scripts, n8n flows, and API-based orchestration for faster, error-resistant operations.
Our AI pipelines extract, normalize, and analyze invoices, receipts, and product documents with Azure Document Intelligence and OCR to enable accurate reconciliation, compliance, and supply chain insights.
We build customer-facing chat and voice bots that follow defined escalation rules, KYC/AML checks, and context-aware session flows, ensuring seamless support and engagement across ecommerce channels.
Real gains achieved with our AI application development solutions for retail analytics.
AI-driven checkout flows, predictive reminders, and session-aware assistance reduced last-step drop-offs across mobile and web funnels.
Edge-optimized assets, tuned CDNs, and framework-level performance audits accelerated product listings, search pages, and personalization modules.
A focused engineering workflow that turns retail goals into reliable, production-ready AI systems.
We craft prompt frameworks that encode product attributes, pricing rules, and customer intents. Using OpenAI and Python, we define constraints, grounding data, and retail-specific reasoning patterns before any retrieval or agent execution begins.
We build a stable RAG pipeline using vector DBs to index catalogs, feeds, and content. Embedding strategies, retrieval scoring, and filtering rules ensure accurate product search, recommendations, and content generation aligned with fast-changing inventory.
We configure autonomous agents with function calling through LangChain to perform retail tasks such as availability checks or price comparisons. Multi-step reasoning paths ensure reliability in high-volume ecommerce workflows.
We connect AI logic to ERP, OMS, PIM, and ecommerce APIs, enabling real-time sync for inventory, orders, and customer data. Secure routing and event triggers ensure AI outputs execute consistently inside your operational architecture.
We automate merchandising, tagging, support tasks, and logistics workflows using Python, n8n, and automation decks. These layers coordinate multi-step agent actions, reducing manual load while maintaining accuracy across product updates and catalog changes.
We deploy through CI/CD pipelines with observability, evaluation harnesses, and drift detection. Retail workloads remain stable through cloud-native rollouts, usage monitoring, and scheduled model or agent updates when catalog patterns or traffic spikes shift.
Our AI retail solution development services support diverse industries with domain-specific retail workflows, automation, and agentic intelligence.
We implement AI agents and workflow automation for property marketplaces, handling dynamic pricing, virtual inventory management, and personalized property recommendations for buyers, sellers, and agents.
Our AI retail solutions power campus stores and online educational marketplaces with product recommendations, demand forecasting, stock optimization, and automated merchandising workflows tailored to learning environments.
We develop AI retail workflows for digital banking and payment platforms, enabling automated product upsells, dynamic pricing, promotional recommendations, and seamless integration with retail financial services.
Our AI retail platforms manage pharmacy inventory, automate supply orders, and deliver personalized product recommendations while maintaining compliance with healthcare standards and secure data handling.
We build AI systems that optimize warehouse inventory, automate order processing, manage shipping schedules, and coordinate delivery workflows, ensuring faster, accurate, and scalable retail logistics operations.
Applied AI capabilities engineered for retail-grade performance and scale.
We design intuitive, AI-enhanced storefronts that feature personalized product recommendations, dynamic search results, and mobile-first, responsive interfaces for a seamless shopping experience.
Our solid back-end systems manage complex AI processes such as inventory optimization, pricing algorithms, and predictive demand forecasting, ensuring seamless integration during peak traffic.
We incorporate AI-driven features, such as personalized recommendations, dynamic pricing, and demand forecasting, to enhance customer engagement, improve sales, and streamline operations with data-driven insights.
Our custom content management systems allow you to manage product catalogs, update promotions, and run campaigns effortlessly, all while integrating seamlessly with your AI-driven platform.
We design scalable databases to manage large product catalogs, customer data, and transactional records. Our solutions ensure real-time updates, preventing overselling, while maintaining data accuracy and compliance.
Using AI insights, we create streamlined, intuitive shopping journeys that enhance product discovery, reduce friction, and guide customers smoothly from browsing to checkout.
We rigorously test AI algorithms, data integrity, and user experience to ensure seamless performance across all platforms. Our automated testing ensures that every model and feature meets the highest standards of accuracy and compliance.
Our reputation is built on creating great outcomes for clients.
Real impact delivered through applied AI and automation.
We built an AI-powered invoice system using Azure OpenAI, OCR pipelines, and embeddings to extract key fields from diverse PDFs and map them into structured outputs.
The platform supports bulk processing, real-time validation previews, and ERP sync through secure API workflows. Its infrastructure enables multi-user access, role control, and reliable high-volume throughput.
Results:
70% faster operations
90% better UX
86% stronger access control
25% productivity increase
We developed a document intelligence platform that uses OCR, embeddings, and OpenAI extraction to classify files, extract data, and auto-fill credential forms with minimal manual effort.
HIPAA-grade security, MFA, and a scalable Laravel-MySQL stack support high-volume processing. Twilio integrations automate reminders and keep document workflows consistent.
Results:
45% operational efficiency
35% UX improvement
95% scalability and security
45% financial uplift
Our reputation is built on creating great outcomes for clients.
Working with DEVtrust was a game changer for us. Their expertise in developing a modern rate management system not only streamlined our operations but also enhanced our competitive edge in the freight industry.
Founder & CEO – Draydex, LLC
DEVtrust’s Ezeryeshiva app has transformed our appointment management process. The tailored user roles & efficient scheduling system have significantly reduced our workload & improved our service efficiency.
Project Lead – Ezeryeshiva
DEVtrust has totally transformed our Real Estate Management Process. Their solutions are intuitive & have significantly reduced our manual workload, allowing us to focus more on our clients.
Founder | Lic. R. E. Associate Broker
Let’s build intelligent, automated, and reliable AI solutions that transform workflows, improve decision-making, and drive measurable impact for your retail organization.
AI retail solutions use machine learning, LLMs, and automation to optimize inventory, pricing, recommendations, and customer interactions for ecommerce and physical stores.
We leverage OpenAI, LangChain, Python, vector databases, RAG pipelines, OCR systems, n8n, and Azure Document Intelligence for reliable retail AI workflows.
Yes. We connect AI agents and automation workflows to ERP, POS, OMS, CRM, and ecommerce platforms via secure APIs and real-time data sync.
Retail AI can optimize operations across real estate marketplaces, EdTech stores, logistics hubs, healthcare supply chains, fintech platforms, and sustainability-focused retail operations.
