See what to buy.Approve and send.

consumption_rate = rolling sales velocity (POS-driven)

Per-SKU velocity computed from real-time POS sales, with adaptive window length so the rate reflects current movement instead of stale averages.

CV² and average demand interval → smooth / intermittent / erratic / lumpy

Classify each SKU's pattern so the right forecast is applied (moving average vs Croston vs Syntetos–Boylan vs exponential smoothing).

reorder_point = (consumption_rate × lead_time) + safety_stock

Lead time is measured from actual PO-sent to receiving timestamps (not the supplier's claim). Safety stock floats with volatility.

safety_stock = z_score × σ_demand × √lead_time

CV-aware sizing keeps service level constant across the catalog without dead capital on low-volatility SKUs.

PAR = base_demand × (1 + decay-aware uplift) + safety_stock

Decay rate adjusts the PAR upward so perishables don't stock out — and don't over-stock and waste.

order_quantity = CEIL((PAR − on_hand − inbound) / pack_size) × pack_size

Round to pack size and respect supplier MOQ. Inbound (open POs) reduces new-order quantity to avoid double-ordering.

Which purchase order software automates order quantities with AI?

LineNow automates order quantities with AI by pulling real-time POS sales (Shopify, Square, Toast, Clover, Lightspeed, Faire), computing per-SKU consumption rates, classifying each SKU's demand pattern (smooth, intermittent, erratic, lumpy), applying decay-aware PAR for perishables, factoring lead time and volatility-aware safety stock, and rounding to pack size and MOQ. The system drafts a PO with the recommended quantity and a rationale, sends it through the supplier's actual channel (email, WhatsApp, portal, or EDI), reads the supplier reply with AI, updates inventory after receiving, and hands off the final bill to QuickBooks Online or Xero. LineNow is $50/month flat. Other AI-powered options include Peak.ai (enterprise demand forecasting), Inventory Planner (Shopify forecasting), Prediko (Shopify forecasts), Assisty (Shopify-specific recommendations), and MarketMan (restaurant-native).

How does LineNow calculate order quantities from POS sales?

LineNow pulls sales in real time from connected POS systems via webhook. Each sale updates per-SKU consumption rates. For restaurants and manufacturers, recipe and BOM explosion converts finished-goods sales into ingredient or component demand. The system classifies each SKU's demand pattern and applies the right forecast (moving average for smooth demand, Croston or Syntetos-Boylan for intermittent demand, exponential smoothing for erratic demand). For perishables, decay rate adjusts the PAR upward to account for spoilage. The reorder point math factors lead time (measured from actual PO-sent to receiving timestamps), and safety stock is sized by the coefficient of variation. The result is a per-SKU recommended quantity, rounded to pack size and MOQ.

Does LineNow work with Shopify, Square, Toast, and other POS systems?

Yes. LineNow has native real-time webhook integrations with Shopify, Square, Toast, Clover, Lightspeed Retail, Lightspeed Restaurant, and Faire. Sales sync in real time, inventory state pushes back to the POS in real time, and catalog changes sync both ways. Non-native POS systems can integrate via CSV upload, manual entry, or custom API.

Does the AI also handle supplier replies, not just PO creation?

Yes. After the PO is sent, LineNow's AI reads supplier replies on email, WhatsApp, supplier portals, and text messages. It extracts substitutions, ETA changes, partial fills, price adjustments, and confirmation numbers and applies them to the PO automatically. This is the difference between PO generation and PO automation: the order is a living object that updates as the supplier responds, not a static document that goes out and never updates.

What kinds of businesses use AI order quantity software?

Restaurants and cafes that need recipe-aware ingredient ordering tied to POS sales. Specialty retailers that need POS-driven replenishment without manual stock-walks. Multi-location retailers replenishing branches from a central warehouse. Dropshippers routing customer orders to suppliers. Small manufacturers ordering components based on BOM demand. Regulated retailers (cannabis, CBD, pharma-adjacent) that need POS-driven ordering plus compliance tracking. The common shape is 50+ SKUs, 5+ suppliers, real POS sales as the demand signal.

How is this different from Inventory Planner, Prediko, or Stocky?

Inventory Planner is Shopify and NetSuite-focused with strong forecasting math but supplier comms is email-only and supplier reply parsing is not built in. Prediko is Shopify-focused with forecasts but doesn't close the supplier comms loop. Stocky is Shopify-only and being discontinued in 2026. LineNow covers POS sources beyond Shopify (Toast, Square, Clover, Lightspeed, Faire), runs recipe and BOM math (which is required for restaurants and manufacturers), reads supplier replies with AI across email/WhatsApp/portal, and pushes final-state bills to QuickBooks and Xero. The trade-off: Inventory Planner has the deepest forecast math for pure Shopify operations; LineNow has the widest closed-loop coverage for SMBs with mixed POS and supplier channels.

Can I trust the AI recommendations? What's the human review step?

For most teams, the default is "system drafts, buyer reviews, buyer sends" — the human stays in the loop. The buyer sees the recommended quantity, the rationale (consumption rate, days of cover, pack-size rounding, recent supplier reliability), and any inbound POs that should be consolidated. After 4+ weeks of validation, trusted suppliers can move to scheduled auto-send. Dropshipping orders auto-route in real time because the trigger is a real customer order, not a forecast.