Use AI to Outpace Demand Shifts, Minimize Waste, and Maximize Margins.
When demand planning isn’t data-driven or dynamic, it causes:
of execs say outdated forecasting limits demand fulfillment
of consumers switch brands when items are out of stock
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.