COMPARISON
Let AI handle dispute tracking, rate verification, and cash application while your team focuses on exceptions.
Trusted by the best
Data usually lives in silos, for example, sales data in NetSuite, marketing spends in Snowflake, international sales scattered across journal entries with no SKU-level detail.
Teams spend hours every month manually pulling data together for analysis. Because there's no other way to see the full picture.
Manual data entry mistakes create discrepancies between system records and actual stock levels.
With manual forecasting, retailers often miss cannibalization analysis, pricing elasticity, marketing spend ROI by SKU, seasonal pattern detection, and more.
AI Agents automatically log in to your audit portals using service accounts. Check every 5-10 minutes for status updates. Track all scenarios - disputed, processed, and open. No more manual logins required.
View disputes from all the portals in one view, including all the details like invoices, contracts, and negotiated rates the agent collected. Timestamp and status-change logging for the audit trail. No fragmented data gathering.
Easily pull contract data from your ERP to verify negotiated rates. Log disputes in Salesforce automatically and updates when disputes are resolved.
AI agents flag anomalies like sudden demand spikes or inventory mismatches for human review before executing high-stakes decisions like expediting large purchase orders.
The agent analyses invoices, contracts, and negotiated rates, and recommends appropriate next steps. Evidence trail includes everything, including contract references, rate comparisons, and historical precedents.
Snowflake API pulls daily spend by channel, brand, and region with history for seasonal patterns. Looker handles legacy programmatic data while SharePoint imports promotional calendars.
Connect with your existing tech stack within minutes!
PLATFORMS WE CONNECT WITH
CRM
Internal Apps
Frieght Portals
Logistics Portal
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When the platform isn't confident about a prediction, it flags it. The edge cases can be reviewed while the rest runs automatically.
Adopt AI was built for retail forecasting. Our platform understands SKU hierarchies, product families, cannibalization dynamics, promotional calendar inference from sales patterns, and seasonal patterns. It’s also pre-configured for NetSuite, Snowflake, and Looker.
Cloud-First
On-Premise
Hybrid
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Time Savings:
4-5 hours to 15 minutes
AI agents test multiple forecasting models simultaneously and select the best performer for each SKU. Improved demand predictions reduce stockouts during peak seasons and prevent overstock that ties up working capital.
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AI agents analyze cannibalization risk when launching new SKUs by modeling how similar products performed historically. This prevents revenue cannibalization and set optimal pricing from day one.
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Continuous monitoring flags stockout risk across hundreds of SKUs and automatically suggests rebalancing inventory between warehouses or expediting purchase orders.
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AI agents analyzes marketing channels (Meta, Search, Display), identifying saturation points where each dollar stops generating returns. Reallocate wasted spend to higher-performing channels without increasing total budget.
