What common problems do warehouses face when shipping with InPost?
Warehouses that ship with InPost often combine home delivery with locker based options. The challenge on a busy bench is not printing a label, it is choosing the correct InPost service for each order at speed and with consistency. The right choice can change with the total order weight, the total order value, the delivery postcode, and the destination country for cross border parcels. When those decisions rely on memory, spreadsheets, or desk guides, small errors creep in and slow the despatch flow.
Typical slips include misreading a postcode segment, totalling the wrong weight across multi line orders, overlooking a value threshold that should trigger a signature or enhanced cover, or missing a postcode exception for a locker served area. These mistakes become relabelling, manual carrier changes, missed cut offs, or delivery failures that turn into customer service work. During peaks, every manual check adds seconds. Queues form at the bench, overtime grows, and throughput becomes sensitive to who is on shift.
Clarus WMS removes this friction by automating carrier and service selection for InPost. Instead of asking packers to decide order by order, you define clear rules once and Clarus applies them automatically. The system calculates order totals, checks address details, evaluates your conditions, and assigns the correct InPost service before the packer reaches for the printer. Labels, tracking, and shipment records follow in the same workflow. Any time saving or efficiency figure in this page is an estimate, because each operation has a different order mix, staffing profile, and layout.
How can a WMS automate carrier selection for InPost shipments?
In Clarus, carrier assignment is native. You map your shipping policy to a set of rules, and Clarus evaluates each order against those rules the moment it is ready to ship. The rules engine works with four core inputs that exist on every sales order, total order weight, total order value, delivery postcode, and destination country. Based on those inputs, Clarus can assign InPost and select the correct service automatically. No middleware is required for the capabilities described here, and you do not need custom development to configure the logic.
The workflow is simple and repeatable. First, Clarus receives the sales order from your commerce platform or ERP. Second, Clarus calculates totals across all lines, so the full weight and order value are correct without manual arithmetic. Third, Clarus evaluates the delivery address, including postcode and country. Fourth, Clarus compares those inputs to your rule list and assigns the matching InPost service. Finally, Clarus generates the label and tracking in the same workflow and records the shipment while keeping inventory movements in sync. Packers see the service already chosen, confirm the pick, print the label, and move the parcel on without extra checks.
This automation reduces decision time and error rates. If your policy changes, for example you add a value safeguard or a postcode exception, you update the rule once and all future orders follow the new path. If volumes spike, the rules continue to apply instantly, so bench performance stays steadier even when you rotate staff or bring in new starters. Supervisors can review which rules applied to which orders, so outcomes are explainable and improvements are easier to validate.
Can Clarus assign InPost services based on weight, value, or delivery location?
Yes. Clarus can assign InPost services using rules that evaluate total order weight, total order value, delivery postcode, and destination country. These conditions cover common real world scenarios and can be combined or prioritised to match your policy. The rule builder uses plain language, so configuration is accessible to non technical users. Below are practical examples to illustrate the pattern. Treat them as examples rather than templates, since your thresholds and service mix will reflect your operation.
• Route lighter domestic parcels to a standard InPost option when total order weight is below your threshold and the postcode is within normal coverage.
• Apply a signed or enhanced cover InPost service automatically when total order value exceeds a defined limit, while keeping the same delivery speed so the customer experience is consistent.
• Use a tracked or premium InPost service for selected postcode ranges where performance warrants a specific choice or where customers expect tracking as standard.
• Direct all non United Kingdom destinations to the correct InPost international pathway by using the destination country condition, while leaving domestic rules unchanged.
• Enable a Saturday delivery or locker specific rule that only applies when the requested delivery date is Saturday or when a locker delivery is selected, while weekdays or home delivery follow your standard logic.
Because Clarus calculates totals from the order lines, packers do not need to add up weights or values at the bench. This avoids edge case errors such as missing a heavier line on a multi line order or misreading a decimal. If your policy includes postcode exceptions, the postcode condition captures them without relying on memory or separate lookup tables. If more than one rule could match, you control priority so safeguards run before general rules. You can also combine conditions inside a single rule to target specific cases precisely.
Any efficiency or cost saving claim should be treated as an estimate. Many teams find that removing manual checks reduces decision time and relabelling, others see the main gain in fewer exceptions and simpler training. The exact result depends on your processes and the InPost service mix you use.
Do I need custom development to use InPost with Clarus WMS?
No, not for the functionality described here. Clarus provides native automation for assigning InPost and selecting InPost services based on total order weight, total order value, delivery postcode, and destination country. Configuration is handled in the Clarus dashboard with clear controls. You can create and edit rules, test scenarios with example orders, set rule priority, and enable changes without writing code. Once saved, the next eligible orders follow the updated logic.
You also do not need middleware for these capabilities. By keeping carrier assignment, label generation, tracking, and inventory updates inside Clarus, you remove a layer that can fail or drift from policy. This gives you a single place to define and audit how InPost is used across sites and shifts. Training becomes simpler because staff learn one workflow and the chance of unofficial workarounds reduces.
If your policy evolves, you extend the rule set in the same place. For example, add a new postcode exception, adjust a weight threshold, or combine conditions to capture a new edge case. Supervisors can review which rule fired for each order, so outcomes are explainable and improvements are easier to validate.
How does Clarus keep orders, labels, tracking, and inventory aligned for InPost?
Clarus keeps the shipping workflow in one system so data stays aligned. Sales orders flow into the WMS. Inventory is updated as picks are confirmed. When an order is ready to ship, the InPost assignment has already been made by your rules. Clarus then generates the label and tracking and records the shipment against the order while updating inventory at the same time. This removes copy and paste steps and reduces the chance of mismatches across systems.
At the bench, packers see a single screen that guides the task. Because the service choice is made upstream, the focus is on confirming picks and printing labels rather than checking eligibility. For supervisors, the benefit is visibility. You can see rule definitions, rule order, and which orders matched which rules. That makes it easier to refine policy and to explain outcomes to colleagues and customers. Customer service teams benefit from the same clarity when answering delivery queries.
If an exception occurs, the audit trail inside Clarus helps you find and fix the root cause without switching between multiple tools. You can trace which rule applied, whether a threshold was met, and whether a postcode match triggered a specific path. This supports continuous improvement and reduces time spent on investigations.
What does setup look like, and how quickly can we go live?
Setup follows a structured sequence that most teams complete without developers. First, review your current InPost usage, including which services you use, your common thresholds for weight and value, and any postcode or country based exceptions. Second, model that policy as rules inside Clarus using the native conditions for total order weight, total order value, delivery postcode, and destination country. Third, create a set of sample orders that reflect your real scenarios and test the rules in Clarus to confirm the correct service is assigned for each case. Fourth, enable the rules in your live environment and monitor the first shipments.
The Clarus dashboard uses plain language to define conditions and results. You can add descriptions to each rule so colleagues understand the intent. If you need to change a threshold or add a new postcode exception, you can make that change yourself and test it straight away. Any statements about setup time are estimates, because each operation has its own data, schedule, and service mix, but the steps are simple and repeatable.
Training focuses on the new simplicity at the bench and control for supervisors. Staff learn that the service is already assigned, they confirm the pick and print the label. Supervisors learn how to read the rule list, how to reorder rules if priorities change, and how to disable a rule temporarily if a service is paused. This provides control without complexity and reduces reliance on single points of knowledge inside the team.
Want a WMS that handles InPost complexity for you?
If you want to remove manual service selection, reduce exceptions, and ship with more confidence, Clarus WMS is designed to help. You define straightforward rules once, Clarus evaluates every order and assigns the correct InPost service automatically. Labels, tracking, and inventory updates live in the same workflow, with no middleware and no code required for the capabilities described here. The result is a calmer bench and a more predictable despatch profile. Any improvement figures are estimates, so the best way to judge impact is to try your own scenarios in a demo.
Book a short walkthrough and bring sample orders that reflect your InPost usage. We will model your weight and value thresholds, postcode exceptions, and destinations as rules in Clarus and run them end to end so you can see the outcome in context.
FAQ
Can Clarus apply different InPost services for different order profiles automatically?
Yes. You can define multiple rules that map different conditions to specific InPost services. Clarus evaluates each order against your rule set and assigns the matching service. No custom development is required for the conditions described here.
What happens if two rules could match the same order?
You set the priority. Place the most important policy first, for example a high value safeguard, and Clarus will apply that rule before others. You can also combine conditions where a specific combination should be handled by a single rule.
Do packers still need to calculate weight and value at the bench?
No. Clarus calculates total order weight and total order value from the order lines. Packers do not need to add up weights or check values manually, which reduces the risk of mistakes and speeds up packing.
How are labels, tracking, and inventory kept in sync when shipping with InPost?
Clarus generates the label and tracking in the same workflow that confirms the pick and ships the order. The shipment is recorded against the order and inventory is updated at the same time, which keeps data aligned without copy and paste.
Do we need developers or middleware to go live with InPost in Clarus?
No, not for the functionality described on this page. Clarus provides native carrier assignment automation and configuration in the dashboard that non technical users can manage. Any timeline claims are estimates, but the process is straightforward, review your policy, model it as rules, test with sample orders, then enable in production.