Inventory Reconciliation

Struggling with manual inventory reconciliation?

It costs you your time, money, and overall customer trust in the process. This is the Inventory Reconciliation Problem.

Many companies struggle with manually coordinating and handling inventory data. Why? Because data comes at you from various sources, such as warehouse management systems(WMS), ERPs, and sales channels, and its hard to keep track of.These manual efforts can often cause stockout, over-stocking, increased operational costs, and other issues.

Automating inventory reconciliation process can help you decrease the risk of disappointing customers with delivery delays, wasting resources and ultimately increasing your revenue.

The MarkovML solution

Streamline your inventory management by automating reconciliation and staying informed about inventory changes.

MarkovML consolidates your inventory and sales data into one system, helping you stay updated on any changes such as new WMS additions and irregularities. This enables confident, informed business decisions. From tracking stock levels to identifying discrepancies, MarkovML automates the process so you can focus on making strategic decisions.

Real-time data sync
Anomaly detection
Inventory transparency

How can we help:

Connect all your inventory and sales data in real-time to ensure you have the latest information across all channels.
Automate workflows to compare data from your WMS, ERP, and sales channels, helping you spot anomalies and save hours of manual work.
Get accurate inventory counts by SKU, location, and sales channel in real-time, while accessing historical reports to improve production cycle planning.

Whether you're reconciling stock levels, preventing stockouts, or optimizing production, MarkovML simplifies the entire inventory management process and helps you avoid costly mistakes.

Use our pre-defined templates to get started

Pull and clean data

Pull inventory data from various sources like Google Sheets, Google Drive, Snowflakes, PostgreSQL, and more. Use built-in operations to clean and standardize your data such as remove duplicate columns and more.

Combine datasets and Identify dissimilarities

Combine datasets from different sources, such as SKUs, warehouses, and sales channels. Look for critical differences, such as the number of SKUs and set customizable rules to automate alerts.

Alert teams for any irregularities

Trigger notifications or send alerts to your team based on pre-set custom thresholds, such as shipments that are 10 hours late or wrong deliveries. Notify teams in real-time via email or slack.

Update historical data and visualize results

View all your business data in one place and set custom triggers to find irregularities. Improve visibility into company expenditures spent across vendors, inventories, health, carrier performance, and more.

Let’s Talk About What MarkovML
Can Do for Your Business

Boost your Data to AI journey with MarkovML today!

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