A customer walks into any of your stores and buys. That bill flows from your existing POS into CatalogHub. A customer orders on your website — that lands in the same place. From there you see everything across branches, and you reach those customers on WhatsApp, Meta and Google.
Bills from every branch's POS and orders from the website land in one CRM as orders and customer profiles.
Sales by store and region, best sellers, top spenders, repeat vs new, who's gone quiet.
Pick a segment from the analytics and reach it: WhatsApp broadcast, Meta ads, Google ads (upcoming).
We connect to the POS your stores already use. Nothing changes at the counter — staff bill as usual, and every bill reaches CatalogHub on its own. Your website's orders and customers come in the same way. Connect one store or a hundred.
Online and every branch, side by side — with store, items, amount and customer on each.
Name, orders, spend, which store, last visit. The person who bought online last year and walked into a branch this week is one profile, not two.
With every bill and order in one place, the store gets the analytics it never had across branches.
Which branch sells what, day by day; where your buyers live.
Best-selling items and category mix, per store and overall.
Top spenders, repeat vs new, customers who've gone quiet, online vs offline.
Every number is clickable into the exact customers behind it — that list is what Step 3 acts on.
Pick the customers the analytics surfaced and reach them where they are.
Offers, new arrivals, festive greetings — to "top spenders in Delhi" or "Store 2 customers from last Diwali". Replies come back into the CRM inbox.
Retarget your own customers and find lookalikes — people similar to your best buyers.
The same audience, reached on Google. Results flow back into Step 2's analytics.