Use AI to Outpace Demand Shifts, Minimize Waste, and Maximize Margins.
Demand uncertainty erodes margins. At Indus Net Technologies (INT.), we deploy AI forecasting models to anticipate demand, cut waste, and ensure shelves are always stocked right.
Forecasting isn’t planning — it’s profit protection.
Retailers need forecasting tools that are predictive, adaptive, and omnichannel-aware — built to handle uncertainty, not just history.
Shared demand view for category managers, planners, vendors, and supply chain partners
Predict return rates and plan profitable exit strategies for low-velocity products
Smart replenishment triggers that balance cost of stock vs. cost of lost sale
Distinguish between footfall-based demand and app/web/marketplace patterns
Model what-if scenarios for BOGO, bundles, flash sales, and optimize discount depth
Auto-detect demand spikes from social mentions, web traffic, loyalty behavior, or search volume
Hyper-granular predictions across product, location, and time dimension — auto-refreshed daily
Combine sales history with weather, seasonality, holidays, influencer trends, and POS velocity
Combine sales history with weather, seasonality, holidays, influencer trends, and POS velocity
Hyper-granular predictions across product, location, and time dimension — auto-refreshed daily
Auto-detect demand spikes from social mentions, web traffic, loyalty behavior, or search volume
Model what-if scenarios for BOGO, bundles, flash sales, and optimize discount depth
Distinguish between footfall-based demand and app/web/marketplace patterns
Smart replenishment triggers that balance cost of stock vs. cost of lost sale
Predict return rates and plan profitable exit strategies for low-velocity products
Shared demand view for category managers, planners, vendors, and supply chain partners
In modern retail, the edge doesn’t come from selling more — it comes from anticipating smarter.
We build intelligence at the core of your demand stack — connecting storefront, inventory, weather, web, and behavior to deliver decisions, not just reports.
Built using industry-specific datasets and retail ontology — from fashion to electronics to groceries
Fine-tuned to your product categories, store clusters, and planning rhythms
Real-time sync with stock, transactions, campaigns, and shipment schedules
Suggest ideal mix per store or region — based on margin, trend velocity, and past lift
Visualize prediction accuracy, variances, and explainability across SKUs and stores
Handle millions of daily forecasts with cloud-native infrastructure
With INT., your forecasts adapt faster than the market — and get sharper with every cycle.
We’ll benchmark your current forecasting models and identify where machine learning can unlock higher margins and lower missed opportunities.
You’ll receive:
We go beyond maintaining operations—we empower businesses with data, insights, and best practices to stay ahead in an ever-evolving digital landscape.