AI Solutions for Retail & eCommerce

AI Solutions for Retail & E-Commerce

Personalization, Product Discovery, Inventory, Fraud and Agentic Commerce

Mobiloitte designs and integrates AI for retail and e-commerce brands, marketplaces and omnichannel businesses. Our capabilities cover personalized recommendations, intelligent product search, dynamic pricing, catalog automation, demand forecasting, inventory optimization, customer-service AI, fraud detection and agentic commerce.

From retail-data assessment and use-case discovery to AI for ecommerce, commerce-platform integration, controlled deployment and continuous optimization, we help businesses improve customer journeys and retail operations using measurable, governed AI.

AI Personalization & Commerce Intelligence

From e-commerce recommendation engines to dynamic pricing and semantic search — Mobiloitte builds AI solutions that drive personalized, high-conversion shopping experiences across every channel and touchpoint.

Built for Scale, Security & Compliance

GDPR, CCPA, PCI-DSS, ISO 27001, and DPDP India-ready architecture. On-prem, cloud, and hybrid deployments with zero-trust fraud prevention, auto-scaling infrastructure, and multi-region delivery across IN, UAE, US, UK, SG & SA.

Discuss Your Retail AI Use Case Request a Retail AI Assessment

What AI Solutions for Retail and E-Commerce Does Mobiloitte Provide?

Mobiloitte provides AI solutions for retail and AI solutions for ecommerce across personalization, semantic product search, product discovery, pricing optimization, catalog intelligence, demand forecasting, inventory planning, shopping assistants, customer-service automation, fraud detection, marketplace operations and omnichannel retail analytics. These solutions can integrate with commerce platforms, POS systems, PIM, OMS, ERP, CRM, payments and enterprise data platforms.

AI Personalization EngineDynamic Pricing & PromotionsSemantic Search & DiscoveryDemand Forecasting & Inventory AIFraud DetectionOmnichannel CXPCI-DSS & GDPR Compliant

Retail AI Solutions

AI Commerce Intelligence Across Customers, Products and Operations

Explore AI Solutions
01
Customer Growth and Experience

Personalization and recommendations, Semantic search and product discovery, Conversational shopping, Loyalty and retention, Customer-service automation.

02
Merchandising and Commerce Operations

Pricing and promotion optimization, Catalog intelligence, Assortment planning, Marketplace automation, Retail-media and campaign intelligence.

03
Inventory, Fulfilment and Risk

Demand forecasting, Inventory allocation, Replenishment recommendations, Order and fulfilment intelligence, Fraud, returns and loss prevention.

Expanded Retail and E-Commerce AI Solutions

From strategic roadmaps to secure identity, we deliver complete AI transformations for modern commerce.

1

Strategic Roadmap & AI Consulting

We assess existing commerce data, map high-value AI opportunities, build implementation roadmaps and align technical strategy with retail revenue goals.

  • Data Assessment
  • Opportunity Mapping
  • Implementation Roadmap
  • Revenue Alignment
Consulting Services
2

Personalization AI & Recommendation Engines

Deploy personalization AI and an ecommerce recommendation engine or AI product recommendation system that analyses session behaviour, purchase history and real-time intent to dynamically sequence products and offers.

  • Personalization AI
  • Ecommerce recommendation engine
  • AI product recommendation system
  • Dynamic sequencing
  • Session intent
AI Personalization
3

Semantic Product Search & Discovery

Semantic product search replaces rigid keyword matching with vector-based search that understands natural language, synonyms and visual queries to reduce zero-result searches.

  • Semantic product search
  • Natural Language NLP
  • Visual Queries
  • Zero-Result Reduction
Search & Discovery
4

Agentic Commerce Platform & AI Support

An agentic commerce platform and conversational AI in ecommerce can resolve order queries, process returns, suggest products and power AI for shopping.

  • Agentic commerce platform
  • Conversational AI in ecommerce
  • AI for shopping
  • WISMO & Returns resolution
Support Automation
5

Dynamic Pricing in Retail Stores & E-Commerce

Dynamic pricing in retail stores and e-commerce channels uses machine learning to adjust prices based on competitor movements, stock levels, seasonal elasticity and retailer approval limits.

  • Dynamic pricing in retail stores
  • Competitor Movements
  • Stock-Level Adjustments
  • Approval Limits
Pricing Solutions
6

Catalog AI & Product Information

Catalog AI can automatically extract attributes, generate SEO-optimized product descriptions, detect duplicate listings and organize SKUs into intelligent merchandising grids.

  • Catalog AI
  • Attribute Extraction
  • SEO Descriptions
  • Duplicate Detection
Catalog Automation
7

AI Forecasting & Demand Forecasting

AI forecasting and AI demand forecasting combine sales history, promotions, seasonality and macro signals to improve SKU-location forecasting and category demand.

  • AI forecasting
  • AI demand forecasting
  • Predictive Modeling
  • SKU-Location Planning
Demand Forecasting
8

Inventory AI & Retail Inventory Optimization

Inventory AI and retail inventory optimization ensure the right stock is in the right location to minimise split shipments, reduce markdowns and accelerate fulfillment.

  • Inventory AI
  • Retail inventory optimization
  • Warehouse Allocation
  • Split-Shipment Reduction
Inventory Optimization
9

Returns Intelligence & Fraud Prevention

Identify high-risk transactions, detect policy abuse and score return probabilities before the transaction clears to protect retail margins.

  • High-Risk Detection
  • Policy Abuse Prevention
  • Return Probability Scoring
  • Margin Protection
Risk & Fraud Solutions
10

Retail Data Platforms & Cloud AI

Build centralized data lakes on AWS, Azure or GCP that unify customer, product and order records to support enterprise-wide machine learning deployments.

  • Centralized Data Lakes
  • AWS/Azure/GCP
  • Unified Records
  • Enterprise ML Deployment
Cloud AI & Data
11

Secure Blockchain Loyalty & Identity

Deploy tamper-proof ledgers for tokenised loyalty programs, supply-chain provenance tracking and secure, privacy-compliant customer identity management.

  • Tamper-Proof Ledgers
  • Tokenised Loyalty
  • Provenance Tracking
  • Identity Management
Blockchain Loyalty
12

Headless Commerce & Custom Development

Decouple the frontend experience from backend logic to build blazing-fast retail progressive web apps (PWAs) and scalable custom commerce architectures.

  • Headless Architectures
  • Progressive Web Apps
  • Backend Logic Decoupling
  • Scalable Custom Commerce
Custom Development

Retail AI Architecture

Mobiloitte builds retail AI on a headless, composable architecture. We integrate vector databases for search, predictive models for forecasting and multi-agent systems for automation. Solutions operate securely on AWS, Azure, GCP or multi-cloud environments with dedicated API layers connecting AI models to your existing storefront (Shopify, BigCommerce, Magento, Commercetools), ERP (SAP, Oracle, Dynamics) and POS systems.

Agentic Commerce Readiness

An agentic commerce platform requires structured product data, reliable inventory and pricing, governed APIs, action limits, confirmation flows and visibility into agent activity. We build Agentic Commerce systems that move beyond answering questions to autonomously executing retail tasks, creating a conversational and agentic storefront.

Security, Privacy and Responsible AI

Retail AI involves massive amounts of consumer and payment data. We ensure every AI model complies with PCI-DSS (for payments), GDPR/CCPA (for consumer privacy) and SOC 2 standards. We use data masking, private LLM instances, robust RBAC (Role-Based Access Control) and bias-mitigation protocols to ensure models operate securely and fairly without exposing competitive business data.

TRUSTED BY LEADING BRANDS

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AI Commerce Intelligence Across Customers, Products and Operations

Retail AI creates value when customer signals, product information, inventory, pricing, orders and service workflows operate from a connected data foundation. Isolated recommendation widgets or chatbots cannot solve broader retail problems when catalog, identity and fulfilment data remain fragmented.

Mobiloitte helps retailers identify high-value use cases, prepare data, design AI models and integrate intelligence into existing customer and operational workflows. Solutions can support web, mobile, store, marketplace and service channels without requiring every retailer to replace its complete commerce technology estate.

Every engagement begins by defining the commercial objective, available data, channel experience, integration dependencies, risk controls and the KPI that will be used to evaluate the implementation.

KPI MEASUREMENT

AOV
Conversion Rate & AOV (Average Order Value)

Mobiloitte focuses on measurable retail KPIs.

RPV
Revenue Per Visitor (RPV)

Mobiloitte focuses on measurable retail KPIs.

S2C
Search-to-Cart Ratio

Mobiloitte focuses on measurable retail KPIs.

0%
Zero-Result Search Reduction

Mobiloitte focuses on measurable retail KPIs.

ROI
Inventory Holding Cost Reduction

Mobiloitte focuses on measurable retail KPIs.

CAC
Customer Acquisition Cost (CAC)

Mobiloitte focuses on measurable retail KPIs.

CSAT
Automated Resolution Rate (Customer Service)

Mobiloitte focuses on measurable retail KPIs.

See How We Deliver These Results

RETAIL AI IMPLEMENTATION PROCESS

A structured 8-phase methodology to accelerate your Retail AI transformation.

Phase 1

Commercial Objective & Data Assessment

Active
Phase 2

Platform Integration (Shopify, ERP, POS)

Active
Phase 3

AI Model Training (Catalog & Customer Data)

Active
Phase 4

Controlled Pilot (e.g., Semantic Search / Pricing)

Active
Phase 5

A/B Testing & KPI Measurement

Active
Phase 6

Omnichannel Rollout

Active
Phase 7

Continuous Learning & Optimization

Active
Phase 8

Agentic Commerce Enablement

Active

Commerce Platforms & Integrations

Mobiloitte integrates AI seamlessly with the tools you already use:

Commerce Platforms

Shopify Plus, Magento (Adobe Commerce), Salesforce Commerce Cloud, BigCommerce, Commercetools

ERP & Finance

SAP, Oracle NetSuite, Microsoft Dynamics 365

PIM & Catalog

Akeneo, Salsify, Pimcore

CRM & Marketing

Salesforce, HubSpot, Klaviyo, Braze

Support

Zendesk, Gorgias, Intercom

Search

Algolia, Elasticsearch, Pinecone

Discuss Your Integration Needs

Evidence-Based Retail Case Studies

Real business outcomes from AI integration.

B2B Wholesale Distributor

Replaced keyword search with semantic matching, reducing zero-result queries by 45% and increasing mobile conversion by 12%.

Multi-Brand Fashion Retailer

Implemented dynamic pricing across 40k SKUs, generating a 9% margin lift during promotional periods without losing volume.

Global Beauty Marketplace

Deployed customer-service agents that resolved 62% of WISMO inquiries autonomously within 30 days.

WHY MOBILOITTE FOR RETAIL & E-COMMERCE

Retail Software Development Company

As a retail software development company, Mobiloitte combines AI with web, mobile, marketplace, cloud and commerce-platform engineering.

Ecommerce Software Development Company

As an ecommerce software development company, Mobiloitte can connect AI with storefronts, PIM, OMS, CRM, ERP, POS and customer-data environments.

AI Solutions for Retail & eCommerce

Agentic Commerce & AI Engineering

We build custom vector search databases, train private LLM models, and deploy governed agentic commerce platforms.

Compliance & Security First

PCI-DSS, SOC 2, CCPA, and GDPR-compliant architecture with strict payment and customer data security.

Start Your AI Retail Transformation

Implementation Timelines & Engagement Models

Transparent planning for rapid AI adoption.

Implementation Timelines

  • Discovery & Data Assessment2-4 Weeks
  • Initial Pilot (e.g., Search or Pricing)6-8 Weeks
  • Core Platform Integration8-12 Weeks
  • Agentic Commerce Rollout12-16 Weeks

Engagement Models

  • Dedicated AI Engineering Teams (T&M)Flexible scaling for ongoing initiatives.
  • Fixed-Price Solution DeliveryClear scope and guaranteed outcomes for specific modules.
  • Managed Commerce AISLA-driven maintenance and continuous model optimization.
BLOGS

See How Industry Leaders Are Winning with AI.

Read blogs and insights from global brands scaling with Mobiloitte.

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Frequently Asked Questions

What are retail AI solutions?
AI solutions for retail use machine learning, generative AI and automation to improve product discovery, personalization, pricing, merchandising, inventory, customer service, fraud prevention and commerce operations.
Can Mobiloitte build AI shopping assistants?
Yes. Conversational AI in ecommerce and governed agentic commerce experiences can support discovery, product comparison, order questions, returns and selected approved actions with human escalation.
How long does it take to see ROI on retail AI?
Most pilot projects (such as semantic search or dynamic pricing) are deployed within 6 to 8 weeks, with measurable impact on conversion or margins typically visible within the first 30 days of launch.
Is your AI secure for payment and customer data?
Yes. All retail AI models are developed with strict adherence to PCI-DSS and GDPR standards, using data masking to ensure sensitive PII is never exposed to public LLMs.
What retail and e-commerce AI services does Mobiloitte provide?
Mobiloitte provides AI for retail and AI for ecommerce across personalization, recommendations, semantic search, catalog automation, pricing, demand forecasting, inventory optimization, conversational commerce and marketplace operations.
Do we need to replace our current commerce platform to use your AI?
No. We build headless AI layers that integrate with your existing commerce engine (Shopify, Commerce Cloud, Magento) via APIs without requiring a replatform.
How do you handle product data that is messy or incomplete?
Our catalog-intelligence models automatically extract missing attributes from product images and unstructured descriptions, cleaning and enriching your catalog before search or recommendation models are applied.
What happens if the AI makes a mistake on pricing or inventory?
We implement 'human-in-the-loop' approval systems and set strict boundary constraints. If a pricing model suggests a change outside the predefined margin guardrails, it requires manual approval.

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