Customers are making choices every second. Your decisions need to keep pace.

Inventory imbalances, shrinkage, third-party vendor risk, and margin pressure are the constant backdrop of retail operations. AI agents that run continuously across your supply chain, store operations, and vendor ecosystem turn reactive retail into intelligent retail.

See CAMS for Retail Explore Use Cases

Where margin erodes and intelligence is absent

The pressures retail leaders face every season

Retail AI has been promised across merchandizing, supply chain, and loss prevention for years. What consistently falls short is a platform that unifies the data across all three, and acts on it in time to protect margin.

Merchandizing

Chief Merchandizing / Supply Chain Officer

Inventory that is simultaneously overstocked and out of stock

You are carrying excess inventory on slow-moving categories and running out of stock on fast movers. Both cost you margin. Demand signals exist in your POS data, but translating them into replenishment decisions fast enough requires intelligence traditional planning cycles cannot deliver.

Loss Prevention

VP Loss Prevention / Operations

Shrinkage that your current systems cannot see in real time

Organized retail crime, third-party risk, and administrative errors account for the $112B shrinkage problem. Your current tools catch incidents after the fact. AI agents that monitor transaction patterns and operational data continuously change what is detectable.

Procurement

Chief Procurement Officer

Third-party vendor and supplier risk that threatens your promotional calendar

A supplier who cannot deliver on a promotional commitment, a logistics partner under financial stress, a private label manufacturer with quality issues. These risks exist in your vendor base right now. You find out about most of them when it is already too late to react.

Digital Commerce

CMO / Head of Digital Commerce

Customer data that sits in silos and never drives real-time decisions

You have transaction data, loyalty data, browse behavior, and customer service interactions. Each system has its own data model. Building unified customer intelligence that drives personalization in real time requires a data foundation most retail organizations do not have.

Internal Audit

CFO / Internal Audit

Procurement inconsistencies and operational waste that compound silently

In a business with thousands of vendor relationships and millions of transactions, procurement anomalies, duplicate payments, and wasteful spend hide in volume. Manual audit sampling catches what gets sampled. AI agents that monitor everything catch what is actually happening.

IT Security

CISO / Head of IT Security

Secure retail operations across a distributed POS and customer data environment

POS systems, e-commerce platforms, loyalty databases, and supply chain systems form one of the largest attack surfaces in enterprise technology. A breach that exposes customer payment or loyalty data carries regulatory and reputational consequences that far exceed the cost of prevention.

$112B

Annual retail shrinkage globally from theft, and operational loss

National Retail Federation, 2024

40%

Of stockouts are predictable and preventable with continuous inventory AI

Gartner Supply Chain Research

3x

Higher vendor risk detection rate with continuous monitoring vs. periodic assessments

CAMS Deployment Data, 2024

10x

Faster to build retail AI products on CAMS vs. custom development from scratch

Internal Benchmarking

CAMS agents across the retail value chain

From shrinkage to supply chain, intelligence that acts.

CAMS handles the complexity of retail environments where data comes from POS systems, loyalty platforms, e-commerce engines, supply networks, and vendor ecosystems simultaneously.

01

Retail Fraud, Waste & Loss Prevention

Catch shrinkage, procurement fraud, and operational waste before the quarter-end report

KonaAI monitors vendor invoicing, employee transaction patterns, returns abuse, and procurement approvals continuously. Organized fraud patterns, duplicate billings, and policy violations surface as they occur. Your loss prevention and audit teams spend time on confirmed findings, not searching for them.

Powered by KonaAI on CAMS

02

Retail Vendor & Supplier Risk

Know when a supplier is going to fail your promotional plan before they do

TPRM for retail monitors your vendor and supplier base continuously for financial health, delivery performance, quality compliance, and contractual adherence. Early warning signals arrive before the promotional commitment is missed, the private label shipment is delayed, or the logistics partner files for protection.

Powered by TPRM on CAMS

03

Retail Data Unification

One clean data foundation across POS, loyalty, e-commerce, and supply chain

CAMS connects and reconciles your transaction systems, loyalty platform, e-commerce data, and supply chain records. AssuraDQ ensures the data is clean and consistent — making personalization, inventory intelligence, and fraud detection actually reliable.

CAMS Enterprise Data + AssuraDQ

04

Inventory & Supply Chain Intelligence

Stock the right product in the right place before the stockout happens

CAMS agents monitor POS velocity, seasonal patterns, supplier lead times, and promotional calendars to surface replenishment signals before stockouts occur and identify markdown opportunities before excess inventory compounds.

CAMS Multi-Agent Orchestration

05

Retail Cybersecurity

Protect customer payment data and retail systems across every channel

CyberProtx extends agentic threat detection across your POS network, e-commerce infrastructure, and loyalty systems. Payment card data, customer PII, and loyalty credentials are the targets. Threats are identified and contained before the breach notice has to go out.

Powered by CyberProtx on CAMS

How we work with retail organizations

Three ways CAMS delivers for retail and consumer businesses

Retail AI requires a platform that understands seasonal scale, multi-banner complexity, and the breadth of data from store operations to e-commerce to supply chain. CAMS was built for exactly that environment.

01

For CTOs, Digital Commerce Teams, Dev Teams

Build your own retail AI products on CAMS. 10x faster.

Your team has the retail domain knowledge. CAMS provides the platform infrastructure, Agent Studio, data unification, governance, so engineers build retail intelligence.

• Agent Studio for building retail-specific intelligence and automation agents
• Data Quality to unify POS, loyalty, supply chain, and vendor data
• AgentEval to validate agents before they influence pricing or replenishment
• GCP infrastructure scaling from peak promotional periods to off-season
• Agent Registry and AI Agent Control Tower for multi-banner, multi-market governance

02

For Operations, Loss Prevention, and Procurement Leaders

Deploy our ready-built products, configured for your retail environment.

TPRM is deployable in retail environments today, configured for your vendor base, shrinkage patterns, and store technology architecture.

• TPRM adapted for your supplier base, private label partners, and logistics network
• Retail operations change management and store team adoption support
• Seasonal performance tuning through AI Agent Control Tower

03

For Retail Executives with a Specific Operational Challenge

Bring your retail challenge. We will build the solution on CAMS.

An inventory optimization agent for a specific category, a demand-sensing supply chain for seasonal goods, you bring the retail knowledge, we build the agentic AI product on CAMS.

• Business problem definition with your merchandizing and operations teams
• Data discovery across your full retail technology stack
• Rapid product build using CAMS as the development foundation
• Pilot deployment in a representative store or region before enterprise rollout
• Deployment, scaling, and hypercare through full rollout

What retail leaders say

Results from the store floor and supply chain

Covasant surfaced vendor invoice anomalies we had no visibility into before. The first month of deployment identified more duplicate billings than our annual audit had found in the previous three years combined.

Chief Financial Officer

Large Format Retailer, India

CAMS

CAMS TPRM gave our procurement team continuous visibility into supplier financial health. The first early warning signal it generated saved us from a critical stock failure during peak season, six weeks before it would have happened.

VP Supply Chain

Specialty Retail Chain, Southeast Asia

TPRM on CAMS

Our POS network was our biggest blind spot when it came to security. Covasant provided continuous threat monitoring across every store without requiring changes to our existing POS infrastructure or store operations.

Chief Information Security Officer

Multi-Banner Fashion Retailer

CAMS

Products built on CAMS for retail

From shrinkage prevention to supply chain resilience, CAMS has delivered it.

Each product has been built and deployed in real retail environments. They are what CAMS is capable of building for yours.

Supply Chain Risk

Risk Intelligence

Retail Vendor & Supplier Risk

TPRM

Monitors your vendor and supplier base continuously for financial health, delivery performance, quality compliance, and contractual adherence. Risk scores update in real time. Your procurement team gets early warning signals before the promotional commitment is missed or the peak season shipment fails to arrive.

Vendor Financial HealthDelivery PerformancePrivate Label RiskLogistics Partner Risk

Agentic Reasoning Intelligence and Insights Assembly

ARIIA

Your CEO and CFO get a natural language interface to your full operational and vendor risk landscape. From understanding top loss exposure categories to assessing supplier concentration risk ahead of peak season, ARIIA synthesizes your retail data into answers. It eliminates the need to look at dashboards that require interpretation.

Operational Risk ViewSupplier ConcentrationNL Query InterfaceExecutive Briefings

Agentic Reasoning Intelligence and Insights Assembly

ARIIA

Retail leadership gets a natural language interface to operational and vendor risk posture. Understanding your top shrinkage categories by region, assessing supplier concentration ahead of a promotional period, or preparing a board briefing on fraud exposure happens in seconds through a conversation.

NL Reasoning InterfaceShrinkage OverviewSupplier IntelligenceBoard Ready

Retail Data Foundation

Data Quality

Before any retail AI can work, your data must be clean, connected, and consistent across POS, loyalty, e-commerce, and supply chain systems. Data Quality ingests and reconciles data from your full retail technology stack, creating the unified foundation every CAMS agent operates on.

POS Data UnificationLoyalty IntegrationE-commerce DataSupply Chain Records

Platform & Ecosystem

Built on GCP. Designed for the scale and pace of retail.

CAMS runs on Google Cloud Platform (GCP), providing the elastic compute scale, global data residency options, and real-time processing capabilities that retail AI requires. From peak promotional load handling to multi-banner governance, GCP handles the retail data volumes and seasonal spikes that enterprise retail operations demand.

Our partner ecosystem includes POS integration specialists, ERP consultancies, loss prevention technology partners, and retail analytics platforms who have already solved the hard problems of connecting store operations to enterprise AI.

Google Cloud Platform

Elastic scale for peak retail loads

POS Integration

In-store Systems

E-commerce

Shopify, Magento, SAP

ERP Partners

SAP, Oracle, Microsoft

PCI Security

Payment Data Protection

Supply Chain

Logistics & Fulfilment

Domain Experts

Retail Advisory

Frequently asked questions

Questions that retail leaders ask us

If your question is not here, our retail AI team will answer it directly.

How do you detect shrinkage and fraud without disrupting store operations?+

Our solution operates on your transaction data, vendor invoicing records, and operational systems without requiring any changes to store operations or POS configurations. It ingests data through CAMS' Data Foundation layer, analyzes patterns continuously in the background, and surfaces anomalies for your loss prevention and audit teams. Store staff and customers are entirely unaffected. Typical detection rates for organized fraud patterns improve by over 40% compared to rule-based systems within the first twelve weeks.

Can CAMS handle seasonal scale during peak trading periods?+

Yes, CAMS is built on Google Cloud Platform (GCP), which provides elastic compute scaling that automatically handles peak promotional loads without pre-provisioning or capacity planning cycles. During peak trading periods, CAMS scales to process higher transaction volumes, more concurrent agent workloads, and increased vendor data feeds without performance degradation. Your agents continue monitoring continuously regardless of transaction volume.

How does TPRM help with private label supplier risk specifically?+

TPRM is configured with your private label supplier taxonomy, production lead times, quality certification requirements, and contractual commitments. It continuously monitors each supplier for financial distress signals, quality lapses, production capacity changes, and delivery performance trends. For private label specifically, TPRM tracks raw material supplier health at the tier-two level, where private label disruptions typically originate, rather than just monitoring the direct supplier relationship.

How does CAMS integrate with existing retail ERP and POS systems?+

CAMS integrates with retail systems through a combination of direct API connections, file-based data feeds, and our retail integration partner network. We support major retail ERP platforms including SAP Retail, Oracle Retail, and Microsoft Dynamics, as well as common POS systems, e-commerce platforms, and loyalty management systems. The CAMS Data Foundation layer with Data Quality handles the data normalization and reconciliation across all connected systems. We do not require replacing existing infrastructure.

What does a pilot deployment look like for a retail chain?+

A typical retail pilot deploys CAMS products in a representative subset of your business, usually a specific region, banner, or category, before full enterprise rollout. This allows us to configure detection models to your specific vendor patterns, transaction volumes, and operational workflows before scaling. Pilots run for eight to twelve weeks and produce a concrete evidence base of value before the enterprise rollout decision. The pilot environment is production-grade, not a sandbox.

How do you protect loyalty program data specifically?+

We monitor loyalty platform access patterns, API call behaviors, and credential usage continuously. Our AI-powered solution identifies account takeover attempts, mass redemption anomalies, and unauthorized access patterns in real time, before loyalty points are drained or customer data is exfiltrated. For retailers operating loyalty programs across multiple channels, our solution correlates threat signals across in-store, e-commerce, and mobile app touchpoints to identify coordinated attacks that single-channel monitoring would miss.

Shrinkage, supply chain risk, and fraud are solvable

The next stockout and the next vendor failure are the next fraud quarter. One of them is preventable.

See how TPRM and other products are already working in retail environments, and what CAMS can build specifically for yours. A demo built around your actual retail challenge.