Intelligent AI for Modern Retail

The AI infrastructure for real-time retail intelligence

PUBLISHED

Feb 12, 2025

PUBLISHED

Feb 12, 2025

PUBLISHED

Feb 12, 2025

CATEGORY

Retail

CATEGORY

Retail

CATEGORY

Retail

READING TIME

3 Minutes

READING TIME

3 Minutes

READING TIME

3 Minutes

Helping retailers transform operations, personalize customer experiences, and optimize supply chains with multilingual, predictive AI.

Helping retailers transform operations, personalize customer experiences, and optimize supply chains with multilingual, predictive AI.

Helping retailers transform operations, personalize customer experiences, and optimize supply chains with multilingual, predictive AI.

AIRe, powered by SUTRA, is a flexible runtime platform that integrates high-performance AI into retail workflows—delivering measurable gains in forecasting, inventory optimization, and customer engagement. Designed for real-world complexity, it connects advanced models with enterprise systems securely and at scale.

Move beyond siloed analytics and static dashboards. Activate decision-ready AI across your retail value chain—from merchandising to marketing to last-mile delivery.

Bringing intelligence to the heart of retail operations

01 / Unified Demand Forecasting

Retailers operate in highly dynamic environments where accurate forecasting is mission-critical.

AIRe enables real-time, granular forecasting using SUTRA’s Q-Predict models. These multivariate time-series models adapt to local trends, holidays, promotions, and external signals—improving demand planning, reducing stockouts, and increasing sell-through rates.

→ Store- and SKU-level demand prediction

→ Promotion-sensitive forecasting

→ Dynamic replenishment triggers

→ Markdown optimization

02 / Multilingual Customer Engagement

Modern retail spans borders, languages, and platforms. SUTRA’s multilingual models enable seamless communication across 50+ languages with deep contextual understanding.

From conversational commerce to automated support, AIRe delivers accurate, tone-aware responses across chat, email, and voice—enhancing service quality while lowering operational cost.

→ Intelligent customer support

→ Localized chatbot & avatar interfaces

→ Product recommendation summaries

→ Email & review classification

03 / Retail Knowledge Activation

Retailers are flooded with product data, vendor contracts, sales reports, and customer feedback—but most of it remains underutilized.

AIRe’s Knowledge Vault transforms unstructured data into searchable, actionable intelligence. Combine RAG pipelines, semantic search, and domain-specific understanding via D3-Retail models to power staff tools and business analytics.

→ Vendor contract analysis

→ Smart catalog search

→ Centralized Q&A over internal docs

→ Trend & sentiment extraction

04 / Store and Inventory Optimization

With AIRe, real-time data from POS, ERP, and supply chain systems can be orchestrated into AI workflows that monitor, diagnose, and recommend actions.

SUTRA D3-Retail models distill large-model capabilities into fast, on-device solutions—making them ideal for in-store deployments with limited bandwidth or compute.

→ Real-time inventory discrepancy detection

→ Shrinkage analytics

→ Dynamic workforce scheduling

→ Store ops automation via agentic workflows

05 / Personalization at Scale

Drive higher conversion and retention with hyper-personalized experiences that reflect each customer’s context and intent.

Using SUTRA reasoning models, AIRe powers logic-aware personalization engines that go beyond basic recommendations—reasoning over preferences, availability, and even long-term behavior.

→ Real-time next-best-offer engines

→ Cart abandonment insight & triggers

→ Personalized shopping assistants

→ Multilingual upsell workflows

Retailers using SUTRA

Customer: Lotte

An AI Control Center centralizing store ops, digital experiences, and inventory insights—built using AIRe.

Deployed capabilities:

  • AI Semantic Search for internal catalogs

  • Semi-realtime Avatar for multilingual customer support

  • HiFi model routing for product classification and enrichment

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