Use Case: Retail AI Solutions
Retail is changing faster than ever. Volatile demand, shifting customer expectations, complex supply chains, and rising operational costs require retailers to think and act smarter.
Intellerts helps retailers unlock the full power of retail data with scalable, AI‑driven solutions from forecasting to replenishment, pricing, and personalization.
Our approach combines deep retail expertise, modern data platforms, and AI agents that autonomously orchestrate decisions across the retail value chain.
WHAT WE DELIVER
AI‑Driven Demand Prediction
Hyper‑accurate forecasting for daily, weekly, and long‑term horizons.
- Reduce stockouts & overstock
- Improve service levels up to 98%
- Predict demand per store, SKU, channel, and region
- Integrate external data (weather, events, promotions)
- 10–20% accuracy improvement vs traditional models
- Daily short-term forecasting (operational agility)
- Monthly long-term forecasting (strategic planning)
- Seasonal & event-based forecasting
- Automated anomaly detection
Smart Replenishment & Auto‑Ordering
AI agents turn forecasts into actionable, automated replenishment decisions.
- Up to 30% reduction in order errors
- 20–30% less excess inventory
- Reduction of out‑of‑stock costs (often millions per month)
- Robotics warehouse productivity +40%
- Dynamic reorder levels
- Promotion, seasonality & local demand adjustments
- ERP & planning system integration
- Future scenario simulation (price, assortment, cannibalization)
Inventory Optimization
Ensure the right stock at the right place at the right time.
- $10M+ reduction in stock
- 25% reduction in inventory across regions
- Improved warehouse automation efficiency
- Inventory turnover analysis
- Safety stock & reorder points
- Warehouse and store flow optimization
- Multi‑tier distribution networks
- SKU productivity and lifecycle tracking
Pricing & Promotion Optimization
AI engines to maximize margin, revenue, and promotional impact.
- Higher promotion ROI
- Optimized discount structures
- Strategic pricing that grows traffic & profitability
- Dynamic price optimization
- Loss‑leader simulation & recommendations
- Basket elasticity modeling
- Competitor-aware price recommendations
- Promotion effectiveness & cannibalization detection
Customer Intelligence & Personalization
AI agents that understand and activate customer value.
- +28% accuracy in personalization
- Higher engagement and retention
- Better campaign targeting and ROI
- Customer segmentation (RFM++ + ML)
- Customer Lifetime Value prediction
- Next-best-offer & personalization models
- Basket recommendations & product bundling
- Loyalty optimization & churn prediction
AGENTIC AI
Traditional AI → GenAI → Agentic AI. Retail is at the stage where autonomous, goal-driven AI agents deliver real, measurable business impact.
Customer Segmentation
Behavior-based clusters enriched with intent signals.
CLV Prediction
Identify and focus on your highest-value customers.
Demand Prediction
Granular daily + monthly forecasting for operations & strategy.
Process Optimization
Identifies inefficiencies & feeds insights back to AI loops.
Smart / Auto Order Management
Recommends (or fully automates) optimal ordering decisions.
Loss-Leader & Pricing DSS
Optimizes pricing while protecting margins.
Logistics & Receiving Optimization
Detects friction in inbound processes and recommends fixes.
Market Basket & Association Rules
Reveals product affinities & cross-sell opportunities.
Marketing Campaign Optimization
Analyzes campaign impact and suggests next steps.
Together, these agents create autonomous, fully integrated decision flows across your entire retail ecosystem.
IMPACT AREAS
Retail AI Use Cases We Deliver for Retail
Demand Forecasting & Replenishment
- Predict demand for 30K+ SKUs daily
- Auto-generate smart replenishment orders
- Reduce forecast errors by 50%
- Reduce stockouts by €1M/month
CLV Prediction
- Real-time inventory visibility
- Multi-tier distribution modeling
- Reduce working capital by 25%
Pricing & Promotion Optimization
- Promotion simulation
- Price elasticity modelling
- Revenue-optimized pricing
Customer Personalization
- Tailored offers and experiences
- Personalized emails, app content, shelf layouts
- Increased engagement & conversion
Category Planning & Assortment
- Localized assortments per micro‑market
- Predict regional preference shifts
- Improve category contribution margins
Retail AI is not plug-and-play. It must reflect your business model, your data, your categories, and your customers.
- Retail-specific forecasting methods
- A richer AI model library (not limited to 1–2 algorithms)
- Custom-built models for your category dynamics
- A scalable retail data platform (50–100× BI volume)
- A phased approach: Proof of Data → POC → MVP → Full Scale
- Deep expertise in retail, CPG, logistics, and e‑commerce
- Integration into your ERP, CRM, OMS, WMS, and POS
Our mission: make your organization self-reliant in retail AI.
Built for Scale
Microsoft Azure
Azure ML, Synapse, Fabric, Data Lake, Databricks
Google Cloud Platform
BigQuery, Vertex AI, Pub/Sub, Dataform, Dataplex
TECHNOLOGY SERVICES
- Modern Data Platforms
- MLOps & AIOps
- BI Modernization
- Data Engineering
- Data Quality & Governance
- Retail AI Accelerators
TRACK RECORD
Our Proven Results
Large Non-Food Retailer (200+ stores)
- 50% forecast error reduction
- €1M/month stockout reduction
- 40% warehouse robotics productivity increase
Global IT Distributor (25 countries)
- 25% reduction in inventory levels
- Better accountability per region
International Components Distributor
- $10M reduction in stock
- Improved planning across 130K SKUs
Super-Pharm’s demand forecasting is 10 times more efficient now. Our accuracy has improved to 90%, when it was previously about 50%.
Intellerts was a crucial partner in Super-Pharm’s Vertex AI implementation on Google Cloud. Intellerts provided Super-Pharm with technological, backend support to establish their new Machine Learning-powered demand forecasting system.
Elran Aharonee
Data Manager, Super-Pharm