Shipping warehouse software to help speed up and prevent human error in the process of order fulfillment.

  • Get your orders out faster than ever
  • Never ship the wrong item again
  • Ditch the paper sheets
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30 day free trial, no credit card required.

BigCompany inc taming shipping chaos.

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  • Get your orders out faster than ever
  • Never ship the wrong item again
  • Ditch the paper sheets
Get Started Now

30 day free trial, no credit card required.

BigCompany inc taming shipping chaos.

Fastest listing tool ever existed.

  • List to all marketplaces from one platform
  • Include item specifics in your listings
  • Calculate shipping cost automatically
  • Have items weight value for all your inventory
  • Easily offer more shipping services for the same item(example: First Classs, Priority and Express)
  • Upload images to image server automatically
  • Easily create items relationships (parent SKU, child SKU, variations, etc'...)
  • Easily copy information from one item to another (great for variation items)
  • Bulk edit items information
  • Automatically update exchange rates for international marketplaces
  • No upload / downloads of spreadsheets
  • Submit 1000's of items via API
  • Shared database between all employees allows using cheaper overseas professionals
  • Support multiple users
  • Import items automatically in bulk from any software that can export to Excel and add to your database
  • Import item information in bulk from online resources. Never write item descriptions again
  • Images added automatically to your items, no more select from local drive
  • Have all your items listed faster than ever before and speed up turnover time
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30 day free trial, no credit card required.

BigCompany inc taming shipping chaos.

Ever had to take a lot of pictures for your products but didn't have the time? Faster Imager is a software which allows you to take literally 1000's of pictures every day! So how does it work?

  • Images are transferred instantly and wirelessly from the camera after each image taken using wi-fi (no need to picture first, download to computer, assigning images, etc'...)
  • Software will automatically assign the pictures to the correct items instantly
  • See the pictures on the computer's monitor instantly and retake if needed
  • Watermarks added to the pictures immediately
  • Pictures being uploaded to your image hosting server on the spot and given a unique URL which is programatically added to your inventory database feed
  • Unlimited images per item
  • Crop, resize and touch up on the fly
  • Records items weight at the same time pictures being taken to avoid repulling / restocking of same items more than once.
  • Support multiple users
  • Prevent human error
  • Support multiple warehouse locations
  • Generate a list of all items missing images to be pulled and photographed
  • Automatically back-up your images remotely and locally
  • Support heavey items too! don't need to bring the item to the photography station but rather utilizes your Wi-Fi network (good for car dealers, heavy machinary, etc'...)
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30 day free trial, no credit card required.

BigCompany inc taming shipping chaos.

Common Use of Big Data in eCommerce

With the growth of data and its implications for ecommerce merchants, this article will shed some light explaining Big Data in a more than one practical way and presenting its most common uses for ecommerce sites.
So what is Big Data? One way to understand could be: "Large amount of data that is difficult to process and analyze using traditional database and software techniques."

The 4 bullet points of Big Data:

The challenges associated with Big Data are the "4 Bullet Points": Amount, Velocity, Diversity, and Importance.
The "4 Bullet Points" of Big Data: Volume, Velocity, Variety, and Value. Source: Oracle.

  • The Amount challenge exists because most businesses generate much more data than what their systems were designed to handle.
  • The Velocity challenge exists if a company's data analysis or data storage runs slower than its data generation. This could be because of customer clicks on your website or thousands of sales transactions every second — a good problem to have.
  • The Diversity challenge exists because of the need to process different types of data to produce the desired insights. This could include, for example, analyzing data from social networks, databases and customer service call records at the same time.
  • The Importance challenge applies to deriving valuable insights from data, which is the most important of all V's in my view. A company can usually collect all the data but the challenge is to ask the right questions to get value from it.
6 Uses of Big Data for Online Retailers

Most small merchants think that Big Data analysis is for larger companies. In fact, it is important for small businesses, too, as they attempt to compete with the larger ones. This becomes even more important as online retailers interact with their customers in real time. Note, however, that handling large sets of data can increase a site's load time. A slow site harms every aspect of the shopping process.
Here are six uses of Big Data for online retailers.

  • Personalization. Consumers shop with the same retailer in different ways. Data from these multiple touch points should be processed in real-time to offer the shopper a personalized experience, including content and promotions. For example, do not treat loyal customers the same as new ones. The experience needs to be personalized to reward loyal customers. It should look attractive and "sticky" for new customers.
  • Dynamic pricing. You need dynamic pricing if your products compete on price with other sites. This requires taking data from multiple sources, such as competitor pricing, product sales, regional preferences, and customer actions to determine the right price to close the sale. Large merchants like Amazon already support this functionality. Overcoming this challenge will give your business a huge competitive advantage.
  • Customer service. Excellent customer service is critical to the success of an ecommerce site. No doubt you can think of online retail stores with terrific customer service. But Big Data has made customer service a challenge by requiring seemingly every interaction with a shopper to be used for serving that shopper. To continue to excel at customer service, online retailers need to overcome this challenge.For example, if a customer has complained via the contact form on your online store and also tweeted about it, it will be good to have this background when he calls customer service. This will result in the customer feeling valued, creating a quicker resolution.
  • Managing fraud. Larger data sets help increase fraud detection. But it requires the right infrastructure, to detect fraud in real-time. This will lead to a safer environment to run your business and improved profitability.Most online retailers need to process their sales transactions against defined fraud patterns, for detection. If it's not done in near real-time, it could be too late to catch the fraudsters.
  • Supply chain visibility. Customers expect to know the exact availability, status, and location of their orders. This can get complicated for retailers if multiple third parties are involved in the supply chain. But, it is a challenge that needs to be overcome to keep customers happy.
    A customer who has purchased a backordered product would want to know the status. This will require your commerce, warehousing, and transportation functions to communicate with each other and with any third-party systems in your supply chain. This functionality is best implemented by making small changes gradually.
  • Predictive analytics. Analytics is crucial for all online retails, regardless of size. Without analytics it is difficult to sustain your business. Big Data has helped businesses identify events before they occur. This is called "predictive analytics." Predictive analytics is becoming an important tool for many businesses.
    Few examples of this are:
    • Predicting the sales of a certain product in the next quarter. Knowing this, a merchant can better manage its inventory costs and avoid key out-of-stock products.
    • Define and execute a customer loyalty program. These can sometime be tricky when if let’s say the qualifications for enrollment are {dollar amount} amount spent during {amount of time} with a {frequency of no less than} only for the {product line}, {customer’s age} and if social media engagement was made. All customers who fall within these filters should get a {% discount} at checkout.
    • Forecasting the number of packages to be shipped to a given region. By doing that the merchant could possibly enroll in a program with the shipping carrier ahead of time to avoid paying a lower tier rates.

Please feel free to contact us today to learn more about how ‘Reports Dashboard’ can help you utilize Big Data to your favor.

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