naffo.tech's Predict engine analyses your sales history, regional consumption patterns, seasonal cycles, and supply signals to forecast demand and surface supply gaps — at the product level, for every region you serve, 90 days out.
92%
Forecast Accuracy
rolling 30-day MAE
1,400+
Products Tracked
across all categories
3.2×/mo
Avg. Stockout Prevented
per business
90 days
Prediction Horizon
rolling forecast window
Full Coverage
From individual SKUs to city-level market dynamics — Predict gives you visibility at every layer of your supply chain.
30–90-day rolling demand forecasts per SKU, with confidence bands. Driven by your own sales history, seasonality, and comparable market patterns.
Map exactly where supply is short and where it is excess — down to district level. Redirect stock before a shortage becomes a lost sale.
Aggregate signals across all businesses in your sector. See broad supply-demand imbalances before they hit your own orders.
When demand is trending up and supply is tight, naffo.tech surfaces price-rise signals so you can adjust rates before competitors do.
Know 10–20 days in advance which products will run out and which will pile up. Never over-order perishables; never miss a high-demand window.
AI recommends the exact day and quantity to purchase — balancing price, storage capacity, and forecast demand for maximum margin.
Product-Level Intelligence
For every SKU in your catalogue, Predict calculates 30-day demand, compares it to current stock, and tells you the recommended order quantity with a confidence score. No more guessing. No more dead stock.
30-Day Demand Forecast
Gujarat · Dairy Products
| Product | Stock | Forecast | Signal |
|---|---|---|---|
Full-Cream Milk (500ml) MIL-FC-500 | 4,200 litres | 6,800 91% conf. | ⚠ 8d left Price: stable |
Desi Ghee (1 kg) GHE-DE-1KG | 380 kg | 520 87% conf. | ⚠ 11d left Price: rising |
Paneer Block (200g) PAN-BLK-200 | 960 blocks | 1,140 83% conf. | ⚠ 19d left Price: stable |
Salted Butter (100g) BUT-SLT-100 | 2,100 packs | 1,600 78% conf. | ✓ Surplus Price: falling |
Updated 2 min ago · Next refresh in 58 min
Regional Supply vs Demand
All products · India · Current month
| Region | Demand | Supply | Status |
|---|---|---|---|
Gujarat Paneer | 94 | 71 | Deficit +18% MoM |
Maharashtra Ghee | 88 | 92 | Surplus -4% MoM |
Punjab Butter | 76 | 80 | Balanced +2% MoM |
Delhi NCR Dahi | 99 | 61 | Deficit +31% MoM |
Tamil Nadu Buttermilk | 65 | 78 | Surplus -8% MoM |
Rajasthan Ghee | 83 | 79 | Balanced +5% MoM |
Regional Intelligence
Predict maps real-time consumption data against available supply across every region you serve. Deficit zones are flagged for immediate redistribution; surplus zones become procurement opportunities.
Beyond your own business, Predict aggregates anonymised signals across the platform to give you sector-wide visibility.
Sector Supply Index
71 / 100
Constrained
Overall supply across dairy & FMCG is running below seasonal norms. Expect price pressure in Q3.
↑ demand pressure building
Category Demand Surge
+22% MoM
Paneer & Ghee
Festival season approaching. AI models a 22% demand spike in high-value dairy in next 6 weeks.
↑ order ahead now
Procurement Timing
Window: 14 days
Optimal
Raw milk procurement prices are at a 3-month low. Models indicate a +8% price rise within 14 days.
↑ procure now
Redistribution Opportunity
3 surplus zones
Available
Maharashtra and Punjab show 15-20% surplus that can be rerouted to Delhi NCR deficit zones profitably.
↑ 4.2% margin uplift
Dead-Stock Risk
12 SKUs flagged
Action Required
12 SKUs across your network are projected to exceed shelf life before sell-through. Act on pricing.
↓ reduce order qty
Vendor Reliability Score
78 / 100
Moderate Risk
2 of your top-5 suppliers show increasing lead-time variance. Buffer stock recommended.
↑ add backup vendor
Under The Hood
No data science team required. The engine runs automatically — powered entirely by the data your business already creates every day.
naffo.tech ingests sales history, purchase patterns, seasonal calendars, and inventory movements — automatically, from day one.
Our engine layers time-series trends, regional consumption patterns, festival cycles, and weather signals into a product-specific forecast.
The system compares forecasted demand against current stock and in-transit orders, then flags deficits before they become stockouts.
Order suggestions, price-adjustment signals, and redistribution opportunities arrive as actionable items in your MIS dashboard every morning.
Every new sale, purchase, or stock entry feeds back into the model. Accuracy compounds over time — no manual retraining needed.
Built for Your Industry
Models are pre-trained on industry-specific patterns — so forecasts are accurate from day one, not after months of calibration.
Accuracy You Can Trust
92%
Forecast Accuracy
rolling 30-day Mean Absolute Error across all SKUs
10–20d
Early Warning
average lead time before a stockout is surfaced to the owner
3.2×
Stockouts Prevented
per business per month vs unoptimised procurement
90 days
Forecast Horizon
rolling window with weekly re-calibration
Common Questions
Predict delivers useful signals from as little as 3 months of sales data. Accuracy improves steadily — typically reaching 85%+ confidence at 6 months, and 90%+ at 12 months of clean data.
Absolutely. Regional intelligence works at state, district, and even taluka level. Single-city businesses benefit most from the product-level and overall-supply modules.
Predict is a native module inside naffo.tech — no integration required. Your sales, purchase, and inventory data feed the model automatically from day one.
Yes. Any forecast recommendation can be converted to a draft purchase order with one click. You review, approve, and send — the AI does the quantity and timing math.
Indian festival calendars, harvest cycles, and monsoon patterns are pre-loaded into the model. The forecast automatically spikes demand for relevant products in the weeks before each event.