Valentine’s Day is coming. You feel left out.
You hear stories of triumphant merchants with exploding sales everywhere, but you don’t have the same story to tell.
Don’t worry, we’re here to help.
Whether or not you’re an e-commerce store or a brick-and-mortar operation, we want to assist you on your journey to be the next e-commerce kingpin.
The Chinese philosopher Sun Tzu once said this, “Know your customer and know yourself and you can earn a million bucks in profit after revenue minus cost.”
The first thing you need to do, is to put yourself in your customer’s shoes. Imagine you’re a guy, 4 days before Valentine’s Day.
You forgot it’s Valentine’s Day.
Yes, of course, who better to remember dates than yourself? You start to panic. You start having this weird conversation with yourself inside your head.
You: “What should I get for bae?”You: “Flowers?”
You: “What else?”
You: “No…I’m going to get kicked out of the house tonight.”
You: [Grown man sobbing in a corner].
Now snap back to yourself, the e-commerce store. What’s the thing you could do best for your beloved customer? What can you do to save them from the melancholy of settling for just flowers and chocolate?
You can help your customers decide what to buy with the use of a recommendation engine powering what they see. Get your customers to input categories, brands, price range, etc., and show them all the relevant products that your intelligent recommendation engine thinks their significant other will love. Of course, there are plenty of ways to do this, and this is just one way to recommend products. But the point here is, you’ll help them see love in a hopeless place by being helpful.
Now, go back into your customer’s shoes. Remember, it’s 4 days till Valentine’s Day. You start having another conversation with yourself.
You: “It’s 4 days till Valentine’s Day, my order is never going to make it!”You: “Forget it, I’ll just tell bae we’ll combine this year’s Valentine’s Day with next year’s because I’m ‘planning’ a grand celebration on the Valentine’s Day 40 years later.”
You: “It’d work. She’s definitely not going to hate me.”
Yeah right. She will, bro. She remembers.
Actions speak louder than words. You can make a promise, but how are you going to fulfill that promise? With such a brilliant recommendation engine, your sales are bursting through the roof and you can no longer manage shipping products on such short notice.
There’s a way out. You prepare for shipping once the order hits, even before the item is processed. Get ready the labels, get ready the postage, get ready the packaging, get ready to send it out. Just place the item the moment it’s processed and “BAM!”, it’s out in the blink of an eye.
“How is this magic going to work?”, you ask. Know what you’re preparing to ship before you ship. Know the product dimensions, the product weight, the product size. This will facilitate logistical preparations for shipping.
The best part is you can now add perishable items into your inventory and increase the volume of your products. Perishable goods like flowers are often a hassle to deliver within the same day, because by the time they are delivered, the flowers are dying. Get perishable items to your customer the very next day or even the very same day, and your customers will be the happiest bunch of people.
Now of course, to do all these, you need data. Now it’s your turn to panic and scramble. How are you going to get all the data necessary to power your recommendation engine and smart shipping systems?
We provide you with all the product data you need to have to create all these magical systems. Our suite of APIs supply you with the dimensions and all the product information you need for a smart shipping system. Our APIs categorize products for you so you can help your customers by making intelligent recommendations. And that’s just a few use cases for our APIs. There’re so much more you can do with them. You’re going to love it.
Now, to your customers, you’re a psychic.
And you’re fast.
You’re a fast psychic and everyone wants to do business with you.
Want to learn more? Schedule a demo today.
Lovingly made in San Francisco by Thaddeus Loh and the Semantics3 Team.