Agentic-AI Dashboard for a 12-Brand Food Portfolio
Built the operations brain for Eatverse (Vision Foods) — a single dashboard that monitors catalogs and supply chains across 12 brands and thousands of SKUs, with custom AI agents flagging anomalies before they cost money.
Region
India
Duration
Ongoing
Engagement
Product build + ongoing ownership
Coverage
12 brands · thousands of SKUs
Detection
Automated anomaly detection
Workflow
Reactive → proactive ops
The Challenge
What they were up against
Eatverse operates 12 consumer food brands across thousands of SKUs. Errors in catalog data and supply chain flows were being found late — through customer complaints, lost orders, or margin leaks — because no single system could see across brands in real time.
Catalog and pricing drift across 12 brands and thousands of SKUs
Supply chain anomalies (stockouts, mis-shipments, mis-priced bundles) caught reactively, not proactively
Ops team drowning in spreadsheets, no unified source of truth
No scalable way to enforce data quality as new brands and SKUs were added
Our Approach
How we moved in
We built an end-to-end operations dashboard with custom agentic-AI pipelines that ingest catalog and supply chain data across all 12 brands, continuously check for errors and anomalies, and surface only the issues that need human attention.
Unified data model across 12 brands and every SKU line
Custom AI agents for catalog validation, price integrity, and supply chain anomaly detection
Role-based dashboards for merchandising, supply chain, and leadership
Alerting tuned so ops get signal, not noise
The solution, in detail
Agentic AI layer that reasons about catalog and supply chain data like an analyst would
Automated anomaly detection that catches pricing, stock, and classification errors at ingestion
Brand-level and portfolio-level views with drill-down to SKU-level root cause
Continuous-monitoring pipelines replacing weekly manual audits
Business Impact
The outcomes that matter
Catalog and supply chain errors detected automatically — before customers see them
Ops team moved from chasing errors to resolving the ones that matter
Single pane of glass across 12 brands and thousands of SKUs
Scalable foundation — onboarding new brands no longer means new spreadsheets
12 brands · thousands of SKUs
Continuously monitored
Automated anomaly detection
Custom agentic AI
Reactive → proactive ops
Shift in operating model
Harsh Kandoi
Co-Founder, Eatverse (Vision Foods)
Built with
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