The customer who bought every month and stopped showing up
In a distribution business, the big sales don't always come from new customers. They come from the buyer who restocked every four weeks and then, suddenly, stopped. Nobody noticed until three months later, when someone reviewed the report and asked, "what happened to this account?" By then they were buying from someone else.
Follow-up is where recurring business is won or lost. And it's exactly what the sales team, busy putting out the day's fires, almost never gets done well. Not for lack of will, but because manually following up on hundreds of accounts, remembering who hasn't come back, and messaging each one on time is impossible by hand.
At Catalizadora we build AI agents that handle exactly this: they follow up on open quotes and re-engage customers who stopped buying, automatically, in your company's voice, over WhatsApp.
The two silent leaks of recurring business
The quote nobody chased
A buyer asks for volume pricing. The rep quotes. The buyer says "I'll review it and let you know." And there it dies, because nobody followed up. Not because the customer didn't want to buy, but because your team had 50 open quotes and that one got buried under the new ones.
A timely follow-up —a message at 48 hours, another a week later— recovers a share of those quotes that would otherwise evaporate. But doing it by hand, for every quote, every day, doesn't scale.
The customer who stopped buying
In a restocking business, every account has a rhythm. The shop that orders every month, the hardware store that restocks every two weeks. When an account breaks its pattern and stops showing up, it's almost always a signal: either they're overstocked, or they're buying elsewhere. A timely message —"it's been six weeks since your last order, want me to help you restock?"— recovers accounts before they're lost for good.
The problem is the same: nobody has time to watch the buying pattern of hundreds of accounts and message each one at the right moment.
How the agent follows up and re-engages, automatically
The agent doesn't just answer when someone messages. It also works outbound, across your customer base, following the rules you define.
Follow-up on open quotes
When a quote is generated and the buyer doesn't respond, the agent picks the conversation back up at 48 hours with a natural message, not a robotic reminder. If there's still no reply, it tries once more, tactfully. If the buyer responds with an objection or a question, the agent answers or hands off to your rep, per the rule.
Re-engaging dormant accounts
The agent knows each account's buying rhythm. When one breaks its pattern —the time it usually restocks has passed and it hasn't— the agent reaches out to re-engage it: it remembers the product they used to order, offers to help restock, opens the door without pushing.
Everything measured, everything in the CRM
Every follow-up message, every re-engagement, and every reply is logged. You see how many quotes were recovered, how many dormant accounts came back, and which ones need your rep to step in personally. Follow-up stops being an act of willpower and becomes a measurable process.
Re-engaging is cheaper than winning new customers
The contrast is worth drawing. Winning a new customer in distribution means advertising, prospecting, first quotes, building trust. It's expensive and slow.
Re-engaging a customer who already bought from you is dramatically cheaper: they already know your product, they already trusted you once, you already have their history. A single message at the right moment can bring back an account worth months of orders. Most distributors pour almost everything into winning new customers and almost nothing into not losing the ones they have. It's the most expensive imbalance in the business.
An AI agent flips that equation: it works, without anyone reminding it, on the most valuable asset you already own —your customer base—.
The cost, with real numbers
Putting a person on chasing quotes and re-engaging accounts full-time costs several thousand dollars a month, recurring, and even then it can't cover the whole base consistently.
The agent with MAGIA Solo costs $4,500 USD once, ships in 15 days, and the pass-through operation —hosting and tokens— runs about $200 to $400 USD a month, with no margin for us and no retainers. It works across your entire base, forgetting no one, every day.
And as with everything we build, the code, the data, and the infrastructure are 100% yours. You don't rent the system: it's your asset. We also add a proprietary technical layer for visibility so your brand gets found when buyers look for you.
How it starts
We use the MAGIA methodology: Mapping your buying patterns and your quotes, Architecture of the follow-up and re-engagement rules, Generation of the agent in your voice, Implementation on your WhatsApp and CRM, and Autonomy so your team runs it and adjusts the rules on its own.
The next step
If you have a customer base that stopped buying and open quotes nobody chased, there are sales sitting there waiting. Message our AI agent on WhatsApp to see how it would follow up in your brand's voice, or book a call with Pablo Estrada here: https://cal.com/pablo-estrada-hlqaql
On that call we review your real base and tell you how many accounts could be re-engaged.