Run simulations before making costly decisions. EcoGenius creates a real-time digital twin of your entire supply chain so mid-sized manufacturers can predict disruptions, slash logistics waste, and prove sustainability without spending like Fortune 500.
You are caught between Amazon-level expectations and yesterday's tools.
Customers expect live tracking and carbon data, but your ERP only shows last week. Logistics costs spiral because you are routing blind. Sustainability RFPs demand Scope 3 proof, while you are still calculating in spreadsheets. Enterprise platforms cost crores and still do not fit how mid-sized manufacturers operate.
EcoGenius breaks the cycle with enterprise-grade digital twins delivered at mid-market speed and budget.
Think of it as a flight simulator for your supply chain. Test every decision in the twin first, then execute only the winners in the real world.
EcoGenius shows you what will happen tomorrow and how to respond.
Get real-time visibility into every SKU, truck, and supplier risk across plants, lanes, and partners.
AI flags delays, shortages, and bottlenecks 48–72 hours before they impact customers.
Instantly model scenarios such as "what if demand spikes 40%" or "what if we switch suppliers".
Route planning, inventory balancing, and carbon tracking run on autopilot with your controls.
Customers expect Amazon-level visibility, but your ERP shows last week.
Logistics costs spiral because routing decisions are reactive and blind.
Sustainability RFPs demand Scope 3 emissions proof beyond spreadsheets.
Enterprise platforms cost crores and still do not fit mid-sized realities.
A single platform for forecasting, routing, risk, pricing, and carbon.
Create a living virtual replica of your supply chain to test strategies, identify bottlenecks, and simulate future scenarios before execution.
Outcome: Visualize entire network impact in real-time, reducing decision latency by 90%.
Models ingest sales history, weather, festivals, fuel prices, promos, and social signals to predict demand at SKU-location-week level.
Outcome: 25–40% reduction in stockouts and 30–50% cut in excess inventory holding costs.
Set prices across channels by blending demand, inventory, logistics cost, and competitive moves in real time.
Outcome: 3–8% margin improvement without losing volume, with automated markdowns for aging stock.
Compare routes on cost, time, and COâ‚‚ per drop so you pick the right tradeoff and execute in one click.
Outcome: 15–25% logistics cost reduction and 20–35% delivery emissions cut with audit-ready reporting.
Detect supplier delays, port congestion, and weather disruptions early with playbooks and what-if simulators.
Outcome: 40–60% cut in emergency freight and 95%+ on-time delivery through disruptions.
Use AI cameras to auto-count inventory, detect damage, verify picks, and monitor safety in real time.
Outcome: 90% fewer inventory discrepancies, 50% faster receiving, and near-zero wrong-item shipments.
From raw data to a living, learning mirror of your supply chain.
Connect ERP, WMS, TMS, GPS, and IoT. Map every warehouse, route, and SKU to build the first digital twin.
Load 12–24 months of history. Teach models your demand patterns, lead times, and transport variability.
Sync in real time with live dashboards, predictive alerts, and optimizations for one priority use case.
Continuously learn from every delivery and add new capabilities such as carbon tracking and computer vision.
Mid-sized manufacturers using EcoGenius to win their next decade.
Four plants, 60+ routes, and no real-time visibility into truck locations or delays.
Solution: Digital twin, route optimization, and predictive alerts.
Result: 19% freight cost drop, on-time delivery up from 78% to 96%, and a ₹40 Cr contract won with per-part carbon proof.
Forecasting in Excel leading to frequent stockouts of critical parts.
Solution: AI demand forecasting and inventory optimization.
Result: 32% reduction in safety stock, stockouts cut from 18 per month to 2, and ₹1.2 Cr working capital freed.
Mixed own fleet and 3PL network with no carbon data for sustainability-focused customers.
Solution: Digital twin, carbon-smart routing, and computer vision for quality control.
Result: 22% delivery cost savings and a verified low-carbon SKU line that secured marquee retail customers.
See your supply chain twin in action before you commit.
Share three months of shipping data, and we will build a read-only digital twin for one product line or delivery region. Run simulations, test scenarios, and experience predictive insights in weeks, not years.