India's most installed restaurant POS with Zomato and Swiggy integration.
Starts at
₹10,000/mo
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Operations & Supply Chain · POS & retail billing
Traditional POS software tells an owner what sold yesterday, but not what to reorder before it runs out or which product is quietly losing money on every sale. Spotting those patterns by eye across hundreds of SKUs isn't realistic for most small business owners.
India's most installed restaurant POS with Zomato and Swiggy integration.
Starts at
₹10,000/mo
Retail POS with mobile apps.
Starts at
₹6,000/mo
Cloud POS for retail and restaurants.
Starts at
Free plan
Restaurant billing.
Starts at
Free plan
WhatsApp engagement and CRM platform for retailers that connects to your existing billing software.
Starts at
Free (10 bills) · Standard ₹16,999/yr + GST
POS in Odoo.
Starts at
Free plan
Salon POS.
Starts at
₹999/mo
Paytm POS devices with billing.
Starts at
Pay as you go
Retail billing POS.
Starts at
₹1,500/mo
Omnichannel payments with gateway and POS.
Starts at
Pay as you go
Restaurant POS, digital ordering and payments.
Starts at
Pay as you go
Android POS for retail, restaurants and services built in Noida.
Starts at
₹999/mo
Smart POS devices.
Starts at
Pay as you go
Pharmacy POS.
Starts at
₹6,000/mo
Restaurant POS and inventory.
Starts at
₹1,500/mo
POS terminals from PhonePe.
Starts at
Pay as you go
Salon, spa and retail billing with CRM and inventory.
Starts at
₹999/mo
Omnichannel inventory and POS for retailers built in India.
Starts at
₹7,000/mo
POS for fashion retail chains.
Starts at
On request
Free POS with payments.
Starts at
Free plan
Restaurant POS built in Nagpur.
Starts at
₹700/mo
POS terminals and payment acceptance for merchants.
Starts at
Pay as you go
Optical shop management software combining POS billing, prescriptions, inventory and CRM for opticians and optical chains.
Starts at
On request
POS for supermarkets and specialty retail.
Starts at
On request
See all 187 pos & retail billing products
AI features inside POS software now surface demand forecasts, flag unusual stock movement and suggest reorder quantities automatically, turning raw sales data into a decision an owner can act on immediately. Used well, this catches a stockout or a slow-moving item before it becomes a real loss.
It is standard point-of-sale billing software with artificial intelligence layered on top of the sales and stock data it already collects. Instead of just recording transactions, it analyses patterns to forecast demand for specific products, flag stock that is moving unusually slowly or quickly, and suggest reorder quantities before a shelf actually goes empty. Some systems also use AI for faster billing through image or voice-based product recognition. The billing and inventory core works the same as any POS — the AI is a layer that turns the data into proactive suggestions rather than passive reports.
Ask how much sales history the AI needs before its forecasts become genuinely useful — a new store with only a few weeks of data will get much weaker suggestions than an established one. Check whether forecasts account for local seasonality, like festival demand spikes, or whether they're generic averages. Verify the core billing, GST invoicing and offline handling are as solid as any standard POS, since an AI feature is worthless if basic billing is unreliable. Ask for a demo using your actual sales data rather than the vendor's sample dataset.
Ask the vendor to run a reorder forecast using at least a few months of your own historical sales data, and check whether the suggested quantities make sense against what you already know about your business. Ask specifically what happens with a new product that has no sales history yet. Confirm the AI features are included in the base price and not a separate paid add-on. Most importantly, verify the everyday billing, stock and GST features work reliably before weighing the AI extras at all.
BudgetEntry pricing starts at ₹250/month in this list.
India fit70 of 187 are built in India, with GST and rupee billing handled natively.
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It analyses sales and stock history to forecast demand, suggest reorder quantities and flag unusual patterns, turning routine billing data into proactive recommendations rather than just static reports.
Generally yes — forecasts and reorder suggestions improve significantly with more historical data, so a brand-new store should expect weaker AI suggestions in its first few months.
It can be, since AI features are sometimes priced as an add-on tier, so check whether the forecasting and suggestion features are included in the base plan or billed separately.
It shouldn't be treated that way — AI suggestions are a starting point based on patterns in past data, and an owner should still apply judgment for new products, promotions or local events.
Yes, AI features sit on top of standard POS functions, so billing, GST invoicing and stock tracking should work the same as any reliable non-AI POS system, and this should be verified first.
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