Ekyam: AI-Powered Inventory Data Platform
Ekyam helps mid-market retailers and brands unify fragmented data from ERPs, WMS, and POS systems. It is designed for teams looking to automate reorders and monitor vendor performance.
At a glance
- Category
- Operations
- Best for
- Mid-market retailers, Omnichannel brands, Operations managers with fragmented tech stacks, Retailers managing multiple warehouses and vendors
- Pricing
- A Pro plan for mid-market businesses is available for $1,995 per month. Custom pricing is available for the Enterprise plan.
- Key use cases
- Unifying Disparate Inventory Data, Automated Reorder Workflows, Retail Operational Querying, Vendor Reliability Tracking
- Integrations
- Shopify, NetSuite, Manhattan, SAP, Dynamics 365
- Official website
- ekyam.ai
Ekyam is an inventory data platform designed to act as a governed data layer for retail operations. It connects disparate systems—such as e-commerce platforms, warehouses, and point-of-sale systems—into a unified format, which helps reduce the issues caused by inconsistent SKU identifiers across different software.
The tool is designed for mid-market retailers and brands that manage complex supply chains. It uses a retail-specific knowledge graph to organize products, vendors, and locations, making this data accessible for AI agents to perform operational tasks.
Buyers can use the platform to monitor inventory in real time and deploy AI agents for specific workflows, such as detecting stockouts or tracking vendor reliability. The system is designed to handle the normalization of retail data so that users can query their business information using natural language.
Prospective buyers should confirm if their specific mix of legacy and modern systems is among the 100+ supported connectors and evaluate whether the monthly cost fits their operational budget.
Key Features
Connects to over 100 retail systems including ERP, OMS, WMS, and POS to ingest data into a canonical schema.
Models relationships between SKUs, categories, vendors, and locations to provide a system of truth for retail data.
Uses AI agents to identify inventory shortages and can be configured to execute reorders.
A natural language interface that allows users to query operational data and receive answers.
A data engine that normalizes retail events in real time to maintain a chronological record of inventory activity.
Tracks vendor reliability and may identify issues such as frequent short-shipping of specific SKUs.
Use Cases
Connecting multiple systems where a single product has different identifiers across the ERP, WMS, and e-commerce platforms.
Using AI agents to detect when stock levels are low and triggering the reorder process.
Asking natural language questions about under-allocated inventory or factory return rates via Ekyam GPT.
Monitoring vendor data to identify patterns in shipping errors or product quality issues.
Best For
Integrations
Pricing
A Pro plan for mid-market businesses is available for $1,995 per month. Custom pricing is available for the Enterprise plan.
FAQ
Ekyam connects different retail systems like ERPs and POS into one governed data layer, normalizing the data so AI agents can detect stockouts and users can query their inventory in plain English.
The Pro plan for mid-market businesses is $1,995 per month. Larger organizations requiring advanced governance and custom workflows can request custom Enterprise pricing.
Yes, the platform uses end-to-end encryption (TLS/SSL, AES-256) and is aligned with SOC 2, GDPR, and ISO 27001 standards.
The Pro plan supports standard integrations for up to four platforms. Businesses with larger ecosystems may require the Enterprise plan for additional integrations.
Source category: Operations
Source subcategory: Inventory Management
