Teenva AI & Digital Ventures builds supply chain analytics AI for manufacturers, retailers, 3PLs, and distributors from Bangalore, India. Teenva unifies ERP, WMS, and TMS data into executive dashboards, vendor scorecards, and ML anomaly alerts—so leaders see OTIF, inventory exposure, and freight cost drift before they become stockouts or margin hits, with optional natural-language Q&A over curated metrics.
Dashboards, alerts, and optional ask-your-data—for planners and leadership. Ops teams juggle five BI exports that disagree; Teenva defines one metric layer and detects supplier and lane anomalies.
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Supply chain analytics AI—OTIF, vendor scorecards, anomaly detection, and scenario views on your data.
Metrics & views we deliver
| View | KPIs & questions |
|---|---|
| Service level | OTIF, fill rate, perfect order, backorder aging |
| Inventory | Days on hand, excess/obsolescence, stockout risk by SKU |
| Transport | Cost/shipment, cost/kg, lane utilization, delay root cause |
| Warehouse | Throughput, cut-off hit rate, pick productivity rollup |
| Supplier / vendor | Lead time variance, quality incidents, PO compliance |
| Customer (scoped) | SLA breaches, returns rate by channel |
| Financial (scoped) | Logistics as % revenue, accrual vs actual freight |
| Sustainability (scoped) | km/parcel, empty mile estimates |
Definitions are documented—every chart uses the same formula across plants and hubs.
Connects insights to demand forecasting, warehouse intelligence, and route optimization. Hub: AI solutions.
AI capabilities beyond static BI
| Capability | What it does |
|---|---|
| Anomaly detection | Flag unusual lead time, cost spike, or OTIF drop by lane/vendor |
| Root-cause hints (scoped) | Correlate delay with carrier, SKU class, or hub |
| Forecast vs actual | Compare demand forecast to realized volume |
| Scenario planner (scoped) | What if hub X closes? +2 day lead time on supplier Y? |
| NL query (scoped) | OTIF for North region last month? over approved semantic layer |
| Alert routing | Slack/email when KPI crosses threshold |
| Vendor scorecards | Auto-generated monthly PDF/email to procurement |
Core analytics is SQL + ML; LLM used only for bounded natural language on governed metrics—not inventing numbers.
Features we implement
Data pipeline
Ingest ERP, WMS, TMS, carrier invoices via API integrationMetric semantic layer
Reusable KPI definitions for BI and NLQExecutive dashboard
Network map, trend tiles, drill-down by hub/laneAnomaly jobs
Scheduled ML on residuals vs seasonalityVendor portal slice (scoped)
Share scorecard with suppliersExport & API
Feed planning tools and board packsRole-based access
Plant manager vs HQ vs 3PL client viewAudit trail
Metric definition changes versionedMobile exec view (scoped)
KPI snapshot on phone
Ingest via API integration services.
Architecture
Source systems (ERP, WMS, TMS, OMS, finance)
ETL / streaming → warehouse (Snowflake, BigQuery, Postgres)
Semantic KPI layer + dimension model
Dashboards + anomaly models + alert engine
Optional NLQ (LLM on metric catalog only)
Actions → forecast refresh, slotting review, carrier renegotiation (human)
Single source of truth — disputes drop when OTIF is defined once
Deployment — your cloud; PII and commercial terms scoped per contract
Use cases by organization type
| Organization | Analytics focus |
|---|---|
| Ecommerce + owned DC | End-to-end order to delivery OTIF |
| 3PL network | Per-client SLA and margin by account |
| FMCG manufacturer | Primary vs secondary fill rate, distributor inventory |
| Retail chain (scoped) | Store replenishment vs DC capacity |
| Import / freight (scoped) | Container dwell, customs delay analytics |
| Multi-country (scoped) | Lane cost benchmarking |
Integrations
| System | Data contributed |
|---|---|
| Custom ERP / WMS / TMS | Orders, inventory, shipments, costs |
| Demand forecasting AI | Forecast vs actual widgets |
| Warehouse intelligence AI | DC productivity KPIs |
| Route optimization AI | Planned vs actual km (scoped) |
| Zoho Analytics / CRM | SMB supply views (scoped) |
| RAG enterprise search | Policy/SOP docs alongside metrics (scoped) |
Dashboards nobody trusts don't change behavior. We nail metric definitions first, then layer anomaly AI—so alerts mean something when OTIF dips on a lane.
Supply chain analytics vs other logistics AI
| Product | Focus |
|---|---|
| Supply chain analytics AI (this page) | Network KPIs, scorecards, anomalies, scenarios |
| Demand forecasting AI | Predict future volume |
| Route optimization AI | Optimize today's routes |
| Warehouse intelligence AI | Optimize inside one DC |
| Logistics tracking chatbot | Customer shipment FAQ |
Together: analytics spots OTIF pain → forecast adjusts → warehouse and routes retuned.
Why Teenva AI
Data engineering + domain
Pipelines and KPI design, not chart cosmetics onlyIndia networks
Pin code lanes, 3PL multi-client, festival season overlaysGoverned AI
Anomaly and NLQ on your definitions—not hallucinated KPIsAction-oriented
Dashboards link to owners and playbooks (scoped)Ops
Managed IT support when source schemas change
Ops via managed IT support when source schemas change.
Our delivery process
Discovery
Systems, KPIs leadership cares about, pain lanes/vendors
Source audit
Field availability, quality, refresh cadence
Metric dictionary
OTIF, fill rate, etc.—signed by stakeholders
Pipeline v1
Core fact tables in warehouse
Dashboard MVP
Executive + ops drill-down
Anomaly models
Top 3 KPIs with alert thresholds
Vendor scorecard (scoped)
Monthly automation
NLQ pilot (scoped)
Approved questions only
Iterate
New plants, acquisitions, scenario module
Frequently asked questions
We integrate or embed—value is semantic layer + anomaly AI + logistics KPIs, not another chart tool alone.
Workshop in discovery—your formula (e.g. customer requested date vs actual delivery) codified once.
Scoped NLQ only on governed metrics—prevents wrong joins and leaked rows.
Daily common for exec KPIs; hourly for ops control tower (scoped); near-real-time for high-value lanes (scoped).
Still valuable—single-site OTIF, vendor lead time, pick rollup; scope reduced.
White-label per client SLA view (scoped) from shared pipeline.
- Yes—forecast vs actual is standard widget with demand forecasting.
Warehouse in your region; access RBAC enforced.
- Teenva build + optional managed IT support for schema drift.
12–14 weeks MVP (pipeline + executive dashboard + 2 KPI anomaly alerts) with ERP/WMS extract access.
Build your supply chain analytics platform
OTIF dashboards, vendor scorecards, anomaly alerts, and scenario planning across ERP, WMS, and TMS data.
Build your AI solution with us
Ready to take your business to the next level?