RetailAI

Orchestrate Retail and Supply Chain Planning Decisions

We Fuel over 400 Retail Brands’ Decisioning Success

Elevate shopper experience, maximize availability, and make margins grow – all at once with Algonomy Platform

AI-led Demand Forecasting & Auto-Replenishment with Hyperlocal Precision - Optimize every SKU, in every store, for every demand influencer

Order Right elevates your inventory planning by:

Forecasting Demand with Hyperlocal Accuracy: GenAI powered replenishment recommendations tuned to SKU-store level nuances, demand shifts, supply variability, and more.
Generating Precise, Optimized Order Plans: Thousands of AI, deep learning, genetic optimization, and Retail ML algorithms work together to recommend the right orders, every time.
Adapting at Scale, Automatically: Effortlessly adapt to dynamic demand, supply side deviations, in-store promotions, store behavior, and more across millions of SKU-Store combinations.
Predictive Alerts to Prevent Business Risks Reduce stockouts, overstock, and revenue loss from markdowns, expiry, and wastage. Improve inventory turnover and reduce operational costs.

From Dashboards to Decisions. From Reports to Results.

MAYA is the Conversational Insights Agent on top of your BI — fusing sales, supply chain, customer, and external signals into business-ready actions through natural conversation.

MAYA augments your analytics stack by:

Unifying All Retail Signals Into One Conversational Layer Sales, supply chain, merchandising, store ops, weather, events, market trends — analyzed together, not in silos.
Monitoring the Business in Real Time Agentic AI continuously scans for risks, opportunities, anomalies, and emerging patterns — and alerts teams before impact hits.
Predicting What Comes Next Forecasts demand, shrink, promotion performance, supply chain delays, fulfilment load, and shopper behavior shifts.
Prescribing What to Do Clear next-best actions on pricing, assortment, inventory, staffing, promotions, fulfilment, and store execution.
Automating Decisions & Workflows From report generation to scenario simulation to cross-team coordination — MAYA moves work forward automatically.

ATLAS: The Next-Generation Supplier Collaboration & Intelligence Platform Augmented by Agentic AI • Autonomous • Always-On • End-to-End

Retail’s only autonomous, end-to-end supplier collaboration system Transform supplier interactions from manual workflows into self-orchestrating, self-improving processes powered by AI agents.
Autonomous supplier onboarding & continuous governance Replace fragmented emails and forms with AI-driven supplier onboarding, compliance verification, contract intelligence, and performance monitoring — all running continuously, not periodically.
100% accurate, enriched & traceable product and supplier data ATLAS integrates with GS1, ERP, PIM, DAM, and data lakes (Azure, Databricks) to maintain trusted, compliant, and audit-ready supplier & product information across the ecosystem.
Automated transactions & financial integrity with AI-assisted workflows Leverage intelligent agents to automate PO exchange, ASN validations, EDI-based 3-way invoice reconciliation, and exception handling — reducing leakage and speeding settlements.
Intelligent promotion & trade collaboration with predictive recommendations Boost joint business planning with AI-generated promo designs, funding allocation, and real-time scenario planning, aligning retailer–supplier goals and reducing trade spend inefficiencies.

Real-Time Actionable Insights Across Merchandise and Supply Chain

Unified supply chain intelligence platform to unify all merchandise and supply chain functions and use cases into a single platform.
Near real-time monitoring and analysis for timely response to market dynamics, supply chain fluctuations, and customer demands.
Actionable insights and data-rich reports to make informed and strategic decisions, optimize merchandising strategies, enhance operational efficiency, and drive growth via advanced supply chain optimization.

Propel critical metrics forward with precision-guided decisions

Improve Availability

Reduce Shrinkage

Minimise Operational cost

Optimize Inventory

Demonstrated success in achieving Retail Planning Excellence

Sales

Profitability

Wastage

Days of Stock

Explore Our Case Studies

Improved collaborative planning

Case Studies

Prince Retail Transforms Supplier Collaboration with Vendor Link

$1.5 M

Savings on Inventory Costs

Case Studies

Leading Grocery Retailer Slashes Stockouts by 63%

22%

Improvement in Inventory Turnover

Case Studies

PanAsian Health & Beauty Retailer Shrinks OOS by 60%

$60 M

Projected savings in inventory costs across 300+ stores

Case Studies

Middle Eastern Grocery Retailer Projects $60M Inventory Savings

92%

Faster supplier onboarding

Case Studies

John Keells Revs -Up Supplier Collaboration & Efficiency

Infographics

Strategic Blind Spots in Grocery Replenishment, and How AI Fixes Them

Are your food and grocery stores oscillating between overstocks and stockouts, irrespective of historical data analysis and automation-driven stocking?

Guides

The Complete Demand Planning Guide in Retail

Strategies, Key Considerations, and Best Practices

Blog

From Reactive to Predictive: The AI Leap in Grocery Retail Replenishment

The gap between “digitized” and “intelligent” replenishment is where millions in revenue, customer loyalty, and operational efficiency are won or lost.

Guides

Replenishment Optimization: Retailer’s Guide to Stock Management

Studies reveal that businesses lose over $1.7 trillion every year because of poor restocking decisions.

eBooks

Building Efficient & Resilient Supplier Networks

Download the Algonomy eBook to explore CDP strategies, audience engagement, predictive analytics, and omnichannel marketing for retail growth.

Whitepapers

Trend-based Guard Rails for Accurate Demand Forecasting

Learn how adding trend-based guard-railing to machine learning-based Demand Forecasting can help reduce errors and improve accuracy.

RetailAI

We Fuel over 400 Retail Brands’ Decisioning Success

Elevate shopper experience, maximize availability, and make margins grow – all at once with Algonomy Platform

AI-led Demand Forecasting & Auto-Replenishment with Hyperlocal Precision - Optimize every SKU, in every store, for every demand influencer

From Dashboards to Decisions. From Reports to Results.

ATLAS: The Next-Generation Supplier Collaboration & Intelligence Platform Augmented by Agentic AI • Autonomous • Always-On • End-to-End

Real-Time Actionable Insights Across Merchandise and Supply Chain

Propel critical metrics forward with precision-guided decisions

Improve Availability

Reduce Shrinkage

Minimise Operational cost

Optimize Inventory

Demonstrated success in achieving Retail Planning Excellence

Sales

Profitability

Wastage

Days of Stock

Explore Our Case Studies

Case Studies

Prince Retail Transforms Supplier Collaboration with Vendor Link

Case Studies

Leading Grocery Retailer Slashes Stockouts by 63%

Case Studies

PanAsian Health & Beauty Retailer Shrinks OOS by 60%

Case Studies

Middle Eastern Grocery Retailer Projects $60M Inventory Savings

Case Studies

John Keells Revs -Up Supplier Collaboration & Efficiency

Looking for some inspiration? Explore our resources

Infographics

Strategic Blind Spots in Grocery Replenishment, and How AI Fixes Them

Guides

The Complete Demand Planning Guide in Retail

Blog

From Reactive to Predictive: The AI Leap in Grocery Retail Replenishment

Guides

Replenishment Optimization: Retailer’s Guide to Stock Management

eBooks

Building Efficient & Resilient Supplier Networks

Whitepapers

Trend-based Guard Rails for Accurate Demand Forecasting

Where algorithmic brilliance meets bottom-line impact

12%

5%

11%

40%

Unlock the next-frontier of growth with AI-assisted Retail Planning Software

Webinar

Why most social proof is hurting your conversions and how to fix it.

Services

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Company

Company

Services

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Commerce Unlocked #7

One Stack for Retail AI: From transactional planning to agentic intelligence built natively on Databricks.

One Stack for Retail AI:
From transactional planning to agentic intelligence built natively on Databricks.