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    <title>SSFlows Blog</title>
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    <description>Guides on Facebook Page AI assistants, Messenger order automation and Facebook CRM for Bangladeshi online shops.</description>
    <language>en</language>
    <lastBuildDate>Wed, 23 Sep 2026 07:29:09 GMT</lastBuildDate>
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      <title>eCommerce chatbot for Facebook: from replies to a real Facebook CRM bot</title>
      <link>https://ssflows.com/blog/ecommerce-chatbot-for-facebook-crm</link>
      <guid isPermaLink="true">https://ssflows.com/blog/ecommerce-chatbot-for-facebook-crm</guid>
      <pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate>
      <dc:creator>SSFlows Team</dc:creator>
      <category>Strategy</category>
      <description>Why an eCommerce chatbot for Facebook is only half the job, and how a Facebook CRM bot turns every Messenger conversation into a customer record you can sell to again.</description>
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      <content:encoded><![CDATA[A chatbot that only answers questions is a cost centre. The same conversation, stored properly, becomes a customer record with order history, spend and last-active date — and that is what lets you sell again without paying for a new ad click.

What a Facebook CRM bot stores

Every inbound message, so the history survives even when the bot is paused. The customer's phone number and delivery address from past orders. Total orders and total spend, in BDT. Last active date, so you can see who has gone quiet.

Turning records into repeat sales

Filter customers who ordered once, more than 30 days ago, and message them from your Customers table with a coupon that has a per-customer limit. Because usage is tracked, one code can safely be reused across a whole segment.

Reporting you can trust

Count revenue only on delivered or completed orders, treat everything except cancellations as placed, and calculate average order value against delivered orders. Any other definition flatters the numbers and hides a cancellation problem.

Start small

Connect one page, let the assistant handle price and stock questions for a week, then add order confirmation. By the time you switch on coupons, you already have clean customer data to aim them at.]]></content:encoded>
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      <title>Messenger Order Automation: confirm orders inside the chat</title>
      <link>https://ssflows.com/blog/messenger-order-automation-bangladesh</link>
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      <pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator>SSFlows Team</dc:creator>
      <category>Playbook</category>
      <description>How Messenger order automation works for f-commerce: collecting name, address and phone in chat, applying coupons, and pushing a confirmed order straight into your dashboard.</description>
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      <content:encoded><![CDATA[Order automation is not about replacing conversation. It is about making sure that once a customer says "নিব", the details are captured correctly the first time and land somewhere you can act on.

The five fields that matter

Product and quantity, matched to a real item in your catalogue. Customer name as they want it on the parcel. Full delivery address, including area or thana. A phone number the courier can call. Payment method, so cash on delivery is never a surprise.

Coupons without leaks

When a customer asks about a code, the assistant checks whether it is active, inside its date range, under its total and per-customer limits, and above the minimum order value. If it fails, the customer is told why. Usage is only counted when the order is actually created — never when the code is merely mentioned.

One order number everyone understands

Each confirmed order gets a short code built from your page name and a per-page sequence — for example FAS102. Customers can read it out on a call, and your team can search it instantly.

Where automation should stop

Refunds, exchanges and angry customers belong to a person. Automate the repetitive 80% and keep the remaining 20% human — that is the split that actually protects your reputation.]]></content:encoded>
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      <title>Facebook Page AI Assistant: how it replies to every customer in Bangla</title>
      <link>https://ssflows.com/blog/facebook-page-ai-assistant-guide</link>
      <guid isPermaLink="true">https://ssflows.com/blog/facebook-page-ai-assistant-guide</guid>
      <pubDate>Tue, 14 Jul 2026 00:00:00 GMT</pubDate>
      <dc:creator>SSFlows Team</dc:creator>
      <category>Guide</category>
      <description>A practical guide to setting up a Facebook Page AI assistant that answers price, stock and delivery questions in Bangla, English and Banglish — without keeping anyone online at night.</description>
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      <content:encoded><![CDATA[Most Facebook Page sales in Bangladesh are lost in the gap between a customer asking "দাম কত?" and someone typing a reply. A Facebook Page AI assistant closes that gap: it answers in seconds, in the language the customer used, and it never sleeps.

What the assistant actually needs to know

An assistant is only as good as the business information behind it. Before you switch it on, prepare four things:

Your product list with prices, stock and a clear photo for each item. Delivery charges per zone, plus how long delivery usually takes. Payment methods you accept — cash on delivery, bKash, Nagad, card. The tone you want: formal Bangla, casual Banglish, or English.

Train it once, correct it as you go

In SSFlows, everything above lives on the Train AI Assistant screen. You write the instructions in plain language, save, and the assistant starts using them on the next incoming message. When a reply is not quite right, edit the instructions instead of rewriting a workflow.

Keep a human in the loop

For sensitive conversations — a complaint, a bulk order, a return — take over the chat. SSFlows pauses the bot for that customer for a set time, then resumes it automatically, so a paused conversation never stays silent by accident.

Measure the right thing

Track first-response time and the share of conversations that end in a confirmed order. Those two numbers tell you whether the assistant is earning its keep far better than message volume does.]]></content:encoded>
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