How to better manage inventory, receiving, locations, picking, returns, automation and agreed order deadlines
Digital maturity
medium
Skaitmenizacijos potencialas
89/100
Biggest challenge
Inventory quantity and location insufficiently accurate
Biggest opportunity
Reliable and optimised order fulfilment
The greatest result is created not by standalone automated equipment, but by a reliable WMS process that precisely manages physical product movement.
How warehousing and order fulfilment works
The business area encompasses owned and 3PL warehouses, distribution centres, e-commerce fulfilment and various inventory holding models. Core value is created by accurately and quickly converting an order into a dispatched shipment.
High frequency of physical operations
Every movement must be recorded on time and in the correct location.
Labour productivity is determined by route and task sequence
Unnecessary steps quickly increase the cost per line.
Inventory error affects all channels
Inaccurate stock levels lead to cancelled orders, urgent searches and customer dissatisfaction.
Automation requires disciplined data
Robots and conveyors cannot compensate for inaccurate product, location and task data.
Market and technology context
Robotics, goods-to-person, computer vision and warehouse scenario simulation expand automation opportunities. However, return on investment depends on warehouse management system data, process discipline and integrations.
Shorter order fulfilment timesCustomers expect same-day or next-day dispatch.
Labour cost and workforce shortage pressureThe value of task optimisation, scanning and automated equipment is growing.
Higher SKU and smaller order countsE-commerce increases picking complexity.
Maturity of automation solutionsRobots, conveyors and automated storage are becoming more accessible, but require robust warehouse management system tasks.
Typical process chain
01
Goods receipt
Quantities, packaging, batches, damage and order compliance are verified.
02
Putaway and location management
Products are assigned to the appropriate location based on size, turnover and storage rules.
03
Replenishment and inventory control
Picking zones are replenished, cycle counts are performed.
04
Picking and packing
Tasks are grouped, products are picked, checked and packed.
05
Dispatch and carrier handover
Shipments are assigned to a route, labelled and handed over to the carrier.
06
Returns and quality management
Returned products are checked and restored to the appropriate stock status.
Digital maturity model
0
Warehouse movements managed by paper and employee memory
Actual product location is verified manually, whilst tasks and exceptions are recorded separately.
1
Accounting system warehouse module
Stock balances are recorded in the system, but physical locations and employee actions are not always confirmed by scanning.
2
Individual warehouse processes are scanned
Receiving or picking is digitalised, but replenishment, exceptions, returns and automated equipment are not seamless.
3
Integrated warehouse execution Typical current situation
Items, locations, tasks, workers and key exceptions are managed in the warehouse management system in real time.
4
Data-optimised warehouse Siektina
Tasks, layout, labour capacity and equipment are planned based on actual flows and deadlines.
5
Partially autonomous warehouse execution
Automated equipment and forecasting models dynamically assign tasks according to safety, quality and capacity rules.
Key finding
Warehouse process optimisation does not start with robots, but with a reliable data model for product, location, order and task.
If product movements are recorded late, WMS cannot reliably plan replenishment, picking, labour or automated equipment.
It is best to first select one complete order flow from receipt or order entry to dispatch and integrate scanning, tasks, exceptions and KPIs.
The most critical gaps occur between system inventory, actual product location, worker task and actual order fulfilment.
Inventory quantity and location insufficiently accurate
Critical
Product movements are recorded late, bypassing scanning or using inaccurate units and locations.
Consequences
Workers cannot find products, orders are delayed, and customers are shown incorrect availability.
Picking tasks and routes not optimised
Critical
Tasks are grouped according to general rules, without considering locations, trolley capacity, order priority and worker zone.
Consequences
Walking time, cost per line and missed deadlines increase.
Goods receiving too manual
High
Quantities, batches, damages and discrepancies are entered in multiple places or checked against paper documents.
Consequences
Products become available for sale late, and receiving errors carry over into the rest of the process.
Missing or damaged products managed manually
High
Picking exceptions are resolved by phone calls, messages or returning the task to the planner.
Consequences
The order stalls, customer notification is delayed and manual corrections increase.
Returned products slowly restored to appropriate stock status
High
Return reason, quality inspection, completeness and product decision are managed separately.
Consequences
Stock is frozen, and the correct product returns to sale too late.
Automated equipment and warehouse management system operate separately
Medium
Robots, conveyors or automated storage systems have separate task and exception logic, which is not always aligned with the warehouse management system.
Consequences
The task sequence is disrupted, staff must manually reconcile equipment states, and a failure can halt a large part of the process.
Opportunities
Highest digitalisation opportunities
Digital execution of one warehouse zoneVery high impactIn one zone or order flow, integrate goods receipt, location scanning, picking tasks, exceptions, packing and dispatch confirmation.Reliable stock levels
Picking task and route optimisationVery high impactGroup orders and create tasks according to locations, priorities, equipment, staff and dispatch deadlines.Lower cost base
Workforce and capacity managementHigh impactForecast labour requirements, allocate staff, monitor actual productivity and bottlenecks.Higher throughput
Digital returns processHigh impactLink return reason, inspection, stock status, customer resolution and financial action.Faster stock return
Warehouse automationVery high impactIntegrate robots, conveyors, automated storage and computer vision with WMS tasks and exceptions.Higher throughput
Biggest opportunity
Reliable and optimised order fulfilment
Connect inventory, locations, orders, staff, equipment, priorities and actual execution.
Higher warehouse throughput
Fewer picking errors
Shorter order cycle
Lower cost per line
More accurate stock balance
Expected impact on operations and financial results
Greater warehouse throughputMore precise tasks and fewer exceptions enable more orders to be fulfilled with existing infrastructure.
Lower picking costShorter routes and better task grouping reduce worker time per line.
More reliable stock balanceTimely registration of movements reduces search and cancelled orders.
Fewer errors and claimsScanning, checks and visual evidence improve order accuracy.
Faster reuse of returned goodsA digital inspection process returns suitable goods to sale more quickly.
More precise automation investmentsProcess data helps to select where equipment will deliver real financial benefit.
Sprendimai
How to solve these problems
Solution directions linked to specific business area problems they address.
Problema
Inventory quantity and location insufficiently accurate
Workers cannot find products, orders are delayed, and customers are shown incorrect availability.
→
Sprendimo kryptis
Warehouse Management System
Manages receiving, locations, replenishment, picking, packing, dispatch, stock-taking and returns.
Problema
Goods receiving too manual
Products become available for sale late, and receiving errors carry over into the rest of the process.
→
Sprendimo kryptis
Warehouse Management System
Manages receiving, locations, replenishment, picking, packing, dispatch, stock-taking and returns.
Problema
Picking tasks and routes not optimised
Walking time, cost per line and missed deadlines increase.
→
Sprendimo kryptis
Warehouse Management System
Manages receiving, locations, replenishment, picking, packing, dispatch, stock-taking and returns.
Problema
Missing or damaged goods managed manually
→
Sprendimo kryptis
Warehouse Management System
Manages receiving, locations, replenishment, picking, packing, dispatch, stock-taking and returns.
Problema
Picking tasks and routes not optimised
Walking time, cost per line and missed deadlines increase.
→
Sprendimo kryptis
Mobile warehouse worker workstation
Provides priority-ranked tasks, routing, scanning, confirmations and exception actions.
Problema
Missing or damaged goods managed manually
→
Sprendimo kryptis
Mobile warehouse worker workstation
Provides priority-ranked tasks, routing, scanning, confirmations and exception actions.
Recommended Digital Solutions
The foundation is a warehouse management system (WMS), mobile staff workplace, automated equipment management, returns and operational analytics.
Warehouse Management System
Manages receiving, locations, replenishment, picking, packing, dispatch, stock-taking and returns.
Mobile warehouse worker workstation
Provides priority-ranked tasks, routing, scanning, confirmations and exception actions.
Returns Management System
Manages return authorisation, receiving, quality inspection, stock status and financial resolution.
Warehouse Automation Control Layer
Connects WMS tasks with robots, conveyors, automated storage systems and their exceptions.
Warehouse Performance Analytics Platform
Analyses working time, lines, routes, errors, agreed deadlines, equipment downtime and cost per operation.
When the investment is justified
Investment justified
System and actual stock levels often do not match
Staff spend significant time walking and searching for goods
Order exceptions are managed by phone
Cost per line is unknown
Reikia atsargumo
Product and unit data is messy
Locations lack clear structure
Staff process was not tested on site
First version covers the entire warehouse
Ideal first version
A single warehouse zone or order flow that connects goods receipt, locations, scanning, picking tasks, exceptions and despatch confirmation.
Product and location scanning
Confirms each critical product movement.
Priority-ranked tasks
Presents the next most appropriate action to the operative.
Picking control
Verifies product, quantity and order line.
Exception workflow
Manages item not found, damaged or incorrect.
Warehouse KPIs
Measures accuracy, productivity, cycle time and agreed deadlines.
Kam pirmiausiaWarehouse operatives · Shift supervisors · Planning staff · Customer service or 3PL clients
What not to include in the first versionAll warehouse zones · Robotics implementation · Migration of all customers and processes at once
Investment priorities
Digitalise execution of a single warehouse zoneConnect receiving, locations, scanning, picking tasks, exceptions and dispatch within a single zone.
Organise product, unit and location dataDefine product units, location structure, batch or serial control and scanning rules.
Optimise tasks and staff workPresent the next most appropriate task based on deadline, zone, product location and labour capacity.
Integrate returns and exceptionsManage returned, missing or damaged items in a common stock balance and quality workflow.
Only then expand automated equipment and AIDeploy robotics and forecasting only when reliable warehouse management system tasks and movement history are in place.
Key implementation conditions
Scanning must be mandatory where location changes
Otherwise, system and actual stock will inevitably diverge.
WMS tasks must match real warehouse ergonomics
Screens, scanners, trolleys and work pace must be tested on site.
Integrations must maintain order sequence
If the business management system or carrier interface fails, an order must not silently disappear or be fulfilled twice.
Automated equipment must have a clear fallback mode
A failure must not uncontrollably halt the entire warehouse.
Performance KPIs must not incentivise errors
Employee evaluation must balance speed, accuracy and safety.
Recommended implementation sequence
01
Single zone and order flow diagnostics
Select one zone and identify where inaccurate data, additional movements and manual exceptions reduce throughput.
Physical movement map
Location audit
Exception causes
Initial performance KPIs
02
Product, unit and location data foundation
Define how each critical product movement changes the actual location and task status.
Location schema
Unit rules
Scanning points
Integration plan
03
Digital receiving–picking–dispatch pilot
Create an end-to-end execution process in one zone and eliminate paper-based or duplicate tasks.
Mobile workstation
Task queue
Picking control
Exception management
04
Returns and additional zone expansion
Connect processes that change stock status and expand the proven model to other zones.
Returns flow
Quality solutions
Replenishment tasks
KPI comparison
05
Labour, layout and automation optimisation
Only after accumulating reliable movement data should more advanced task optimisation and automated equipment be implemented.
Product layout analytics
Labour demand forecast
Automated equipment integration
Control model
Recommended KPIs
Inventory accuracy%
Measure the alignment between system and actual stock levels.
Order line accuracy%
Assess picking and packing quality.
Line picking costEUR / line
Measure labour and equipment efficiency.
Number of lines picked per hourlines / hr
Assess worker and process performance.
Proportion of orders shipped on time%
Measure adherence to agreed deadlines.
Average order cycle timehrs
Assess time from order receipt to shipment.
Return processing timehrs
Measure time from returned goods receipt to final stock status.
Key risks
Warehouse management system implemented on disorganised locationsInefficient warehouse layout and incorrect attributes become embedded in the system.Kaip suvaldyti Conduct an audit of location, unit and item data before implementation.
First version covers the entire warehouseToo many processes and exceptions distance actual usage.Kaip suvaldyti Start with one zone or order flow.
Workers bypass scanningEquipment is inconvenient, connection is weak or the process is slower than manual.Kaip suvaldyti Test in real conditions and eliminate additional steps.
Automation equipment becomes an isolated islandRobots or conveyors do not receive reliable WMS tasks and statuses.Kaip suvaldyti Design a common task and exception model.
Performance optimisation degrades qualityWorkers are incentivised to pick faster, but errors or incidents increase.Kaip suvaldyti Use balanced KPIs for speed, accuracy and safety.
Inovacijos
More advanced digital innovations
Advanced solutions create value only with accurate data on products, locations, tasks, employees and equipment.
Market expansion3
AI-powered product slotting optimisation
Relevant
Models suggest product locations based on turnover, size, co-purchased products and seasonality.
How it is applied For location and replenishment decisions.
What value can be created
Shorter picking routes
Less replenishment work
What is needed for this to work
Reliable movement data
Location attributes
Medium-termCommercial solutions are available
Visual analysis for receiving and packing
Relevant
Cameras help detect packaging damage, incorrect picking or labelling.
How it is applied For quality and claims control.
What value can be created
Fewer errors
More automated evidence
What is needed for this to work
Cameras
Training data
Medium-termCommercial solutions are available
Warehouse throughput forecasting
Relevant
Models forecast order, receiving and workforce requirements based on incoming flow.
How it is applied For shift and equipment planning.
What value can be created
Fewer delays
More accurate staffing requirements
What is needed for this to work
Order forecasting
Historical operation times
Short-term perspectiveCommercial solutions are available
Early stage1
Warehouse scenario modelling
Relevant
A virtual model simulates order flows, workers, equipment, locations and obstacles.
How it is applied For evaluating layout, shift and automation investments.
What value can be created
More accurate investments
Lower implementation risk
What is needed for this to work
Process times
Warehouse layout
Long-term perspectiveCommercial solutions are available
D.U.K.
Frequently asked questions
Where to start warehouse digitalisation?
Select one zone or order flow and connect receiving, locations, scanning, picking tasks, exceptions and dispatch.
Does every warehouse need a warehouse management system (WMS)?
It is most needed when there are many product codes, locations, employees, customers or orders and the business management system can no longer reliably manage physical execution.
What should the first version of the project be?
One warehouse zone where every movement is scanned, the employee receives a task ranked by priority, and exceptions are managed digitally.
Is it worth implementing robots first?
No, if stock balances, locations and tasks are inaccurate. Robotics works best on top of a stable warehouse management system process.
How to implement a warehouse management system without stopping the warehouse?
Use a limited zone, a parallel process, a clear fallback mode and pre-tested business management system and carrier integrations.
How to assess return on investment?
Measure inventory accuracy, lines per hour, picking cost, errors, order cycle, delivery deadline compliance and returns duration.
Next step
Let us assess where the warehouse loses most time and throughput
We will review receiving, locations, picking, exceptions, returns, employee work and automation opportunities and help select the first stage.