Never Miss a Sale on Hero SKUs.
Never Trap Capital in Slow Movers.
ChainVeda connects Demand Forecasting, Dynamic Buffer Sizing, the Inventory Intelligence Matrix, and Multi-Echelon Replenishment into an automated decision engine built for high-growth D2C brands and omnichannel sellers.
8 Dead SKUs Flagged
Z = 2.05 Buffer Sized
Spoke Below Guardrail
STO Deductions Applied
Actionable Decision Pipeline
Covers projected deficit on Cotton Oversized Tee. Outer carton: 24 units/box.
Fulfills MOV threshold (₹2.5L min) & MOQ of 500 units.
Existing stock already at 92 Days of Supply. Placement would trap ₹1.8L in dead capital.
Ingest Directly From Your Existing Retail Ecosystem
Why Retail Supply Chains Break When You Scale Past ₹5 Crores
Most D2C brands don’t lack data. They lack a connected decision system that translates sales spikes, vendor lead times, and warehouse constraints into daily operational actions.
The Costly Stockout on Hero SKUs
When a festive sale surges, top 20% revenue drivers run out of stock first. You burn ad spend driving traffic to dead pages, drop marketplace buy-box rank, and lose customers to competitors.
Millions Trapped in Dead & Slow Inventory
While hero items starve for stock, warehouses sit packed with 90+ days of supply in slow-moving sizes and variants. Operating cash is suffocated in cartons instead of funding brand growth.
The 15-Hour Spreadsheet Nightmare
Planners spend their weeks downloading dirty CSV exports from Unicommerce and Shopify, copying formula errors, and guessing static reorder points. By the time POs are sent, inventory has drifted.
The False Demand & Rogue PO Loop
Basic software treats stockouts as "zero consumer demand", depressing future procurement when you need it most. Simultaneously, buyers issue redundant POs for items already overstocked in regional hubs.
ChainVeda replaces disconnected spreadsheets with an Automated Decision Engine
Demand Forecasting → Dynamic Policy → 12-Box Health → Spoke DRP → Sourcing POs.
5 Connected Engines. One Unified Decision Loop.
Every step is mathematically linked. Changes in demand calibrate safety buffers, update the health matrix, rebalance spoke transfers, and size vendor purchase orders.
Demand Forecasting Studio
True Demand Visibility with 2-Step Cleansing
Standard tools only read raw order logs, repeating past errors. ChainVeda filters viral promotion spikes and restores lost sales during stockouts to uncover true customer demand.
Dynamic Safety Stock Policy
Statistical Buffers Tailored to Ground-Truth Variance
Replace blunt 30-day rules. ChainVeda dynamically sizes safety buffers using supplier lead-time delay variance, sales volatility, and target service levels (e.g. 98% CSL).
Statistical Guardrails
Z = 2.05 (98% CSL) Sizing
Velocity × Coverage Command Center
Instant Diagnostics on Movement Velocity × Stock Coverage
Gain instant visual clarity across your catalog. The matrix organizes SKUs by Movement (Fast, Medium, Slow, Non-Moving) and Coverage (Low, Optimal, High) to surface trapped capital immediately.
Rogue PO Shield
Automated Over-Order Guard
Distribution Hub & Spoke Balancing
Network Balancing with Outer Shipper Carton Rounding
Balance inventory between your Central Mother DC and regional spoke fulfillment centers (Delhi, Mumbai, Bangalore). Verifies hub availability and auto-rounds transfer orders to shipper cartons.
Shipper Rounding
Zero Broken-Box Friction
Replenishment & Procurement Hub
Effective Hub ATP with Virtual Outward Reservations
Traditional ERPs create chronic under-ordering because they count inventory before outgoing transfers are packed. ChainVeda calculates Effective Hub ATP by virtually reserving staged transfers first.
Virtual Reservations
Eliminates Under-Ordering
Inventory Intelligence in Action
Velocity × Coverage Matrix with Automated Rogue PO Protection. Click any cell below to inspect trapped capital and automated recommendations.
ChainVeda automatically blocks purchase orders for SKUs already sitting in High coverage, preventing accidental over-ordering.
Fast Moving (Top 20%)
14
< 15 DOH₹2,10,000
Holding ValueSevere Stockout Risk. Runout projected within 6 days during high sales momentum.
Trigger immediate Spoke transfer from Central Hub or expedited Vendor PO.
Zero Day-1 Friction.
No 6-Month Data Cleanup Required.
Traditional enterprise software forces you to spend months renaming columns to match rigid textbook schemas. ChainVeda is built for real-world retail messiness.
Drop raw, unedited exports directly from Shopify, Unicommerce, Increff, Amazon, or custom ERPs. Our intelligent translation layer normalizes columns and handles sparse data automatically.
Dual-Layer Auto-Mapping Engine
Recognizes real-world column aliases (SKU Code, Barcode, Item Number, Style ID) without asking you to rename a single cell.
Progressive Schema Enrichment
Start with a simple 4-column dump on Day 1. The platform automatically infills default tiers and enriches carton hierarchies over time.
In-line Error Correction Cockpit
Resolve unmapped vendors or missing categories directly in your browser with one-click fixes—no file re-upload loops.
Universal Ingestion Studio
Unicommerce_Inventory_Dump.csvPhysical QOH = Available ATP + Allocated Units
Estimate Your Trapped Capital & Recoverable Sales
Adjust the sliders below to see how much working capital ChainVeda can unlock from your current inventory holding and prevent from stockouts.
₹1.94 Cr
Combined annual cash & margin improvement
Based on empirical retail decision modeling benchmarks across D2C brands.
How ChainVeda Compares
See how ChainVeda’s reality-first decision intelligence compares to legacy enterprise ERPs and fragile spreadsheets.
| Capability | ChainVeda Platform | Spreadsheets | Legacy ERPs |
|---|---|---|---|
| Time to First Actionable Recommendation | Day 1 (Direct raw CSV / Shopify / Unicommerce upload) | Days of manual formula wrangling weekly | 6 to 9 months expensive IT implementation |
| Demand Outlier Cleansing | 2-Step Automated (Spike clipping + Lost sales unconstraining) | Manual eyeball adjustments | Basic moving averages or raw history |
| Dynamic Buffer & Safety Sizing | Statistical lead-time variance with 98% CSL Z-factors | Static blanket rules (e.g. 30 days for everything) | Static min/max thresholds |
| Diagnostic Inventory Health | 12-Box Velocity × Coverage Heatmap with Rogue PO Shield | None / static pivot tables | Raw stock quantity reports |
| Multi-Echelon DRP & Sourcing | Mother DC to Spoke STOs with Shipper Carton Rounding | Manual cross-sheet calculations | Complex, disconnected modules |
| Effective Hub ATP Virtual Reservations | Yes (Deducts staged outward transfers before PO sizing) | No (Perpetual under-ordering trap) | Requires custom WMS customization |
| Vendor MOQ & MOV Contract Enforcement | Automated live validation during PO generation | Manual trial and error in Excel | Limited to basic MOQ units |
Built by a Supply Chain Leader, Not Generic SaaS Developers
Ashutosh Parihar
Founder & Product Lead, ChainVeda • B.Tech, IIT Roorkee
$100M Inventory Reduction
Architected 2-tier network placement
40% → 95% In-Stock
Scaled national planning team of 40+
50% Stockout Drop
Designed category inventory diagnostics
97% Forecast Accuracy
High-velocity perishable S&OP
"For over a decade, I was in the trenches solving stockouts and trapped working capital for one company at a time—from architecting Flipkart's two-tier network inventory placement to scaling national fulfillment networks at DealShare and Udaan."
"Every fast-growing brand was fighting the exact same battle on fragile spreadsheets. I built ChainVeda to take those battle-tested decision models and turn them into an automated software platform, so modern brands can scale profitably without the supply chain pain."
— Ashutosh Parihar, Founder
See ChainVeda Run On Your SKU Data
Book a 30-minute demonstration with our supply chain domain leads. We’ll show you how to unlock trapped working capital and prevent hero stockouts.
ChainVeda Supply Chain Intelligence
contact@chainveda.com
Bangalore, Karnataka, India