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Shopify Fulfillment Network connects merchants with trusted third-party logistics partners, all integrated into the Shopify admin. Through this network, millions of orders have shipped to thousands of ZIP codes. Although Shopify Fulfillment Network partners use technology-forward shipping solutions (have you met Chuck?), there are amazing humans powering the tech and tackling order fulfillment challenges that may sound very familiar.
Whether your business is using third-party logistics or not, measuring and improving your order fulfillment process is more than a simple operational task. It unlocks opportunities for improvement in efficiency, cost, speed, and overall customer experience. Here are some of the lessons shared by fulfillment experts.
What is fulfillment analytics?
Fulfillment analytics involves the analysis of data related to the order fulfillment process, including inventory management, shipping efficiency, and order accuracy. This type of analysis helps businesses identify bottlenecks, improve operational efficiency, and enhance customer satisfaction through timely delivery and optimized logistics.
Start with the basics
This might seem too obvious, but the number one rule when optimizing order fulfillment is to ensure your orders are being received and transmitted smoothly—also known as "order flow." Ensuring this process is well-oiled ensures your business is ready to tackle the changes that come with growth. Examples of order transmission errors might include:
- Inventory discrepancy
- Address verification
- Payment fraud risk
Once the basics are locked in, you can shift your mindset to optimizing—including the way you work with your fulfillment partner, overall shipping speed and cost, and the clearness in your expectation setting with customers.
🧐 Ask your data
It might be difficult to spot trends in order flows at a glance. Use certain signals that orders are not going through—such as returns—or even looking at the percentage of orders fulfilled to spot trends over time. Are there specific months or weeks in which these numbers are trending below expectation?
Measure what matters
Your business is unique, and although there are best practices, order fulfillment performance should mirror your overall inventory and order processing strategy. If you don't have a formal strategy yet, that's fine too. The trick is to start from your current state and make iterative improvements along the way.
For example, if you have a team handling your fulfillment, or a logistics partner, they might only be shipping orders according to a cutoff time, which means you shouldn't be looking at percentage of orders fulfilled in the same day until later in the day, or not at all depending on when that is. Performance should be measured according to existing processes. Some of the key metrics you should consider are:
- Percentage of orders fulfilled: same day, next day, within internal/external service-level agreement (SLA)
- Average fulfillment time: including fulfillment cost per order, profit
- Products returned
Order fulfillment improvement is not a sprint—well, mostly
It's a fair statement that most improvements to order fulfillment will take some time to realize into gains. When you're busy focusing on growing your business, optimizing operations might stay on the back burner.
While fixing order flows and putting sustainable change in place can have an immediate impact, changes to partnerships, cutoff times, and costs might lead to medium-to-long-term gains. As a rule of thumb, use the following guidelines for when to spend some time looking at these metrics. The suggestions above are also connected to when you should start seeing performance improvements.
- Order flow metrics: daily and weekly
- Shipping time and cost: monthly
- 3PL partner performance: monthly and quarterly
🧐 Ask your data
Create a custom report to assess your monthly shipping profit and loss. Simply subtract the amount you charged customers for shipping from the cost. Dividing that amount by the number of orders in that time period gets you to an average profit or loss by order and unlocks clear opportunities for improvement.
Do not let yourself feel overwhelmed by the endless amount of optimization that can be tackled in order fulfillment. Start with the structural basics, build your own shipping processes (or align with your 3PL on what those should be), and make improvements over time to other opportunities, such as increasing your shipping profit, shipping speed, and the promises you can ultimately make to customers.
Read more
- The Apparel Company’s Guide to Choosing a Fulfillment Partner
- 7 Best Ecommerce Fulfillment Services (+ How to Choose One)
- Shopify Payments Makes You Money Through Higher Conversion Rates and Fewer Chargebacks
- Last Minute Holiday Shipping and Fulfillment Tips
- Sales Tax Uncertainty? Shopify's Sales Tax Insights Decodes your Obligations in the US & Canada
- Shipping Strategy- What If I’m Only Shipping Specific Products Internationally?
- Budgeting for a Small Business- Make Your Money Work for You
- How Financial Planning Can Help You Achieve Your Business Growth Goals
- From Realtor to Retailer- How Strategic Financing Helped One Entrepreneur Scale Quickly
- 12 Checkout Process Optimization Tips to Increase Ecommerce Revenue
Fulfillment Analytics FAQ
What data feeds into fulfillment analytics?
Fulfillment analytics draws on order transmission records, inventory counts, shipping and carrier data, and return logs to build a complete view of the fulfillment process. Order-flow data flags transmission errors such as inventory discrepancies, address-verification failures, or payment fraud risk before they cause delays. Shipping data shows cost and speed by carrier, while return logs reveal quality or packing issues. Combining these sources into one report makes bottlenecks easier to spot than checking each system separately.
How do I calculate fulfillment cost per order?
Subtract what customers were charged for shipping from the actual shipping cost, then divide that number by total orders in the period to get an average profit or loss per order. Running this calculation monthly through a custom report highlights whether shipping is generating margin or eating into it. Tracking the trend over several months, rather than a single snapshot, shows whether rate changes or carrier switches are actually improving the numbers.
Do I need special software to track fulfillment analytics?
No dedicated analytics platform is required to get started, since most order management systems already include reporting tools that track order flow, returns, and fulfillment percentages. Custom reports let businesses build specific views, such as monthly shipping profit and loss, without adding new software. Businesses working with a third-party logistics partner can also request performance data directly from that partner instead of building tracking from scratch. As order volume grows, dedicated analytics tools can add deeper automation and forecasting.
How does fulfillment analytics differ from general sales analytics?
Sales analytics measures what customers purchase and revenue trends, while fulfillment analytics measures what happens after the order is placed, covering inventory accuracy, shipping speed, cost, and delivery experience. The two are connected: fulfillment problems like delayed shipping or inaccurate orders can suppress future sales even when demand is strong. Reviewing both together shows whether growth in orders is being matched by the operational capacity to fulfill them accurately and on time.
Can fulfillment analytics help me choose a better shipping partner?
Tracking metrics like average fulfillment time, cost per order, and percentage of orders fulfilled within service-level agreements gives an objective basis for comparing 3PL or carrier performance. Reviewing 3PL partner performance on a monthly and quarterly basis, rather than reacting to isolated complaints, reveals whether delays or cost increases are a pattern or a one-off. Partners who consistently miss SLA targets or drive up shipping costs become easier to identify and address with data in hand.
