GITNUXSOFTWARE ADVICE
Supply Chain In IndustryTop 10 Best Inventory Planner Software of 2026
Ranking roundup of top inventory planner software for production and supply planning, including Kinaxis RapidResponse, SAP IBP, Katana, Netstock.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Katana is the best pick if you need material-aware replenishment planning with reviewable purchase guidance, whereas Slimstock fits mid-market teams that want recommendation-driven replenishment with lead-time awareness and Flieber is a strong alternative if your focus is ecommerce scenario planning with controlled safety stock logic.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Katana
Replenishment guidance ties expected demand and lead-time assumptions into purchase order recommendations for planner review.
Built for fits when teams need item-level replenishment planning with reviewable purchase guidance..
Inventory Planner
Editor pickInventory Planner ties recommended purchase and transfer orders to inventory policy parameters that are auditable through planning decisions.
Built for fits when planners need policy-based reorder recommendations with exception review across warehouses..
Netstock
Editor pickOpen purchase order and inbound-aware replenishment logic that recalculates recommendations as supply changes.
Built for fits when planners need frequent replenishment recommendations with constraint-aware execution across locations..
Related reading
Comparison Table
Katana
SMBManufacturing and inventory software with material planning and production-aware stock control.
Replenishment guidance ties expected demand and lead-time assumptions into purchase order recommendations for planner review.
Katana’s core value is planning-to-execution support for inventory replenishment, including reorder point style logic and lead-time awareness when generating replenishment guidance. It supports what planners need for day-to-day work, such as managing open quantities and aligning inventory decisions with expected demand and supply constraints. The result is a repeatable workflow that reduces the manual effort of translating forecasts into next purchase actions.
A tradeoff appears when planning must span complex multi-echelon footprints or advanced optimization across multiple warehouse layers, since Katana’s replenishment views are strongest at the item planning level. Katana fits teams that need consistent, reviewable replenishment recommendations tied to lead time and reorder assumptions, not teams building full network optimization models.
- +Planning workflow turns inventory assumptions into replenishment actions
- +Lead-time aware guidance reduces timing mistakes in reorder decisions
- +Reviewable recommendations support controlled planning iterations
- +Item-level replenishment planning supports operational inventory routines
- –Multi-echelon optimization depth is limited versus network planners
- –Automation depends on integration coverage from ERP and warehouse systems
- –Advanced constraint modeling can require workaround planning steps
- –Large SKU catalogs can slow planning review without disciplined input hygiene
Supply planning teams
Update replenishment plans from new demand signals
Faster next-buy decisions
Inventory analysts
Reduce stockout risk from timing variance
Lower stockout risk
Show 2 more scenarios
Operations managers
Run weekly open-to-buy planning reviews
Better inventory turnover
Operations managers review projected availability and align replenishment actions to upcoming operational needs.
Procurement teams
Convert item plans into supplier-ready orders
Less manual rework
Procurement uses Katana recommendations to draft purchasing actions that reflect replenishment timing assumptions.
Best for: Fits when teams need item-level replenishment planning with reviewable purchase guidance.
Inventory Planner
SMBDemand forecasting and inventory planning software for multichannel commerce brands.
Inventory Planner ties recommended purchase and transfer orders to inventory policy parameters that are auditable through planning decisions.
Inventory Planner is built around inventory replenishment logic that starts with demand inputs and turns them into purchase order recommendations and transfer order recommendations across locations. The planning workflow ties policy parameters such as service-level targets and lead-time variability to safety stock and reorder point outcomes, so buyers can review why recommendations change. It also supports supplier lead-time tracking so planning can reflect variability when calculating stockout risk and buffer requirements. Integration support is a recurring theme, with practical handoff paths for master data, demand signals, and the resulting recommended orders.
A common tradeoff is that the planning results depend on data quality for lead times, demand history, and item-location constraints, so poor upstream data creates noisy recommendations. Inventory Planner fits situations where teams already manage replenishment parameters but need more controlled governance around exceptions and location-level stocking decisions. It also works best when planners want actionable recommended orders inside a repeatable workflow instead of exporting to spreadsheets for every decision.
- +Recommendation workflow links demand, lead times, and policy decisions
- +Supports both purchase and transfer recommendations across locations
- +Supplier lead-time tracking improves buffers under lead-time variability
- +Exception-driven review helps planners focus on constrained items
- –Recommendation quality drops when item-location constraints are incomplete
- –Multi-location setups require careful parameter governance
- –ERP integration needs structured mapping for master and transactional fields
- –Tuning service targets can take multiple planning cycles
Procurement teams
Review reorder recommendations by supplier
Fewer stockouts, faster approvals
Supply planners
Balance inventory across warehouses
Improved inventory distribution
Show 2 more scenarios
Operations analysts
Diagnose overstock versus risk
Lower overstock exposure
Planners compare policy-driven outcomes to current coverage to find root causes.
S&OP coordinators
Incorporate demand variability into plans
More stable replenishment
The system uses demand signals to drive safety stock and reorder point inputs.
Best for: Fits when planners need policy-based reorder recommendations with exception review across warehouses.
Netstock
SMBInventory planning software focused on demand forecasting, replenishment, and supplier ordering.
Open purchase order and inbound-aware replenishment logic that recalculates recommendations as supply changes.
Netstock’s core workflow turns supply availability and demand patterns into purchase order recommendations and transfer order recommendations for multi-location operations. It uses configurable planning parameters to calculate reorder points and to drive open-to-buy style actions across items. The system is built for ongoing monitoring, so planners can review what changed, why a recommendation shifted, and which constraints were applied.
A tradeoff is that Netstock’s accuracy depends on clean operational inputs like lead times and bill-of-materials or item substitution logic where relevant. Teams with highly custom fulfillment logic often need longer configuration cycles to match business rules to system constraints. Netstock fits best when daily replenishment and exception handling are the dominant process, not long-horizon scenario modeling.
- +Turns on-hand, inbound, and demand data into actionable replenishment recommendations
- +Supports warehouse-level planning with location-aware constraints
- +Provides exception-style review of why recommendations changed
- +Handles reorder point driven replenishment at item scale
- –Planning correctness depends on reliable lead time and receipts timing data
- –Complex constraint sets can increase rule configuration workload
- –Multi-system data alignment can take iterative onboarding
- –Advanced planning scenarios may require more careful setup than basic replenishment
Supply planning teams
Daily replenishment with inbound awareness
Fewer stockouts and faster decisions
Warehouse operations teams
Location-level stocking and transfers
Better allocation across sites
Show 1 more scenario
ERP integration owners
Reconciliation of planning to transactions
Lower planning to execution drift
Keeps planning outputs consistent by mapping inventory signals back to enterprise systems for execution.
Best for: Fits when planners need frequent replenishment recommendations with constraint-aware execution across locations.
Slimstock
enterpriseSupply chain planning platform with inventory optimization, forecasting, and replenishment tools.
Lead-time and constraint aware replenishment recommendations that turn coverage gaps into direct procurement actions.
Slimstock is an inventory planner software built around actionable stock and replenishment decisions, with planning logic that emphasizes lead times and service targets.
The core workflow centers on generating purchase order and replenishment recommendations from item, location, and constraints, then monitoring coverage gaps like stockout risk.
Slimstock also supports scenario-driven updates so planners can test changes to demand inputs and supply realities without rebuilding the plan from scratch.
For teams that already manage execution in ERP and warehouse systems, Slimstock focuses on planning outputs and change control rather than replacing end-to-end operations.
- +Recommendation-first planning workflow that converts constraints into replenishment actions
- +Lead-time and variability handling designed for purchase and inventory decisions
- +Scenario updates for faster planner iteration across what-if demand and supply changes
- +Integration approach focused on moving planning inputs and outputs with existing systems
- –Depth for advanced multi-echelon optimization is limited compared with dedicated network planners
- –Configuration effort rises when many item-location rules and exceptions must be governed
- –Automation throughput depends on clean master data and consistent item and location coding
- –API and automation surface can require more integration work than workflow-only planners
Best for: Fits when mid-market planners need recommendation-driven inventory replenishment with lead-time awareness.
Flieber
vertical specialistInventory planning and forecasting software for ecommerce operations and purchasing teams.
Side-by-side replenishment scenario comparison highlights which assumption changes most impact stockout risk and overstock.
Flieber helps teams create and run inventory planning scenarios that translate forecasts into replenishment actions across products and locations. It focuses on planning workflows like safety stock calculation, reorder point logic, and replenishment quantities tied to lead times and constraints.
Flieber also supports scenario comparison so planners can audit how changes to assumptions affect stockout risk and overstock outcomes. Where ERP and warehouse processes matter, Flieber’s integration and automation surface is the deciding factor for keeping planned orders aligned with execution data.
- +Scenario modeling links forecasting assumptions to replenishment outcomes
- +Safety stock and reorder point logic supports service target planning
- +Lead-time variability inputs can shift replenishment timing
- +Exports designed for downstream purchasing and transfer execution
- –Multi-location setup can require careful mapping of item and location attributes
- –Automation breadth depends on the available integrations for planning inputs
- –Complex constraints like case-pack and MOQ may need manual governance in edge cases
- –API coverage depth for external scenario iteration can be limited
Best for: Fits when mid-market planners need scenario-driven replenishment planning with controlled safety stock logic.
StockTrim
SMBInventory forecasting software that predicts stock needs and purchase timing.
Constraint-aware PO and transfer recommendations that respect item rules and location context.
StockTrim targets inventory planning by focusing on item-level stock policies, replenishment constraints, and open-to-buy style decision support. It supports warehouse and location level planning workflows, then produces purchase order and transfer order recommendations based on lead time and on-hand positions.
The workflow is oriented around operational review cycles rather than long-run analytics, with exports and integration hooks for moving outputs into downstream systems. StockTrim is a fit when planners need controlled recommendations tied to supply and transfer logic, not just reporting.
- +Generates purchase and transfer order recommendations from planning inputs
- +Handles warehouse and location level stocking decisions
- +Applies item constraints to keep recommendations operationally feasible
- +Supports export driven workflows for moving plan outputs into execution
- –Planning coverage depends on clean master data for lead time and constraints
- –Automation depth is limited for multi-stage, multi-echelon planning scenarios
- –Advanced what-if comparisons can require external analysis
- –Integration options may require additional work for deep ERP synchronization
Best for: Fits when planners need item and location recommendations with constraint-aware replenishment.
MRPeasy
SMBCloud MRP software with inventory planning, procurement, and production scheduling.
BOM-linked production requirements that roll item demand into component ordering and production quantities.
MRPeasy focuses on production and inventory planning with an ERP-style item master and reorder-point logic driven by lead times and demand inputs. It supports purchasing and production planning workflows using recommended purchase orders and production requirements built from bills of materials and routing data.
Automation is centered on parameterized planning rules, scheduled recalculation of plan outputs, and maintaining master data for items, suppliers, and locations. Integration depth is oriented around ERP connectivity through imports and exports plus an API surface for syncing item and planning data.
- +Reorder-point planning uses lead times, demand rates, and safety stock settings
- +Bill of materials driven production requirements link item demand to component needs
- +Purchase order recommendations reduce manual work for replenishment signals
- +API and data import options support ongoing item and planning data synchronization
- –Multi-echelon and warehouse-level optimization remains limited versus enterprise inventory suites
- –Complex constraint sets for MOQ, order multiples, and case-packs need careful rule design
- –Inventory transfer recommendations depend on clean location data and stock visibility
- –Governance controls like RBAC and audit log depth are not the primary planning focus
Best for: Fits when mid-market teams need reorder-point plus BOM-driven production planning with integrations and automation.
Anvyl
vertical specialistSupply chain visibility and inventory planning software for consumer brands.
Approval-bound planning workflows that preserve planner change history for inventory actions tied to specific planning states.
Anvyl targets inventory planning with a focus on collaborative workflows across locations, items, and time buckets. The core capability centers on generating purchase and inventory actions from configurable planning logic, then tracking outcomes against service and stock constraints.
Anvyl also emphasizes auditability for planner decisions through workflow history and approval steps tied to planning records. Integration support is built around API access for syncing master data and transactions that feed replenishment inputs.
- +Workflow-driven planning with approval steps tied to planning records
- +Actionable replenishment recommendations derived from configurable constraints
- +API access for syncing inventory, item, and order inputs into planning
- +Location-level planning records support targeted reviews and changes
- –Complex planning logic needs structured configuration and disciplined governance
- –Advanced multi-echelon optimization coverage is limited compared with enterprise planners
- –Large assortment planning can feel slow without careful input scoping
- –Transfer and supplier lead-time workflows depend on the availability of source data
Best for: Fits when mid-market teams need location-focused replenishment workflows with approval tracking and API-fed data.
Blue Ridge Global
enterpriseSupply chain planning software with inventory optimization and replenishment automation.
Policy-driven replenishment that translates service goals and lead-time variability into actionable buy and transfer recommendations.
Blue Ridge Global performs inventory planning by combining supply and demand planning workflows with constraint-aware decisioning across items and locations. Inventory planners can model lead-time variability and generate replenishment actions tied to stockout risk and service-level targets.
The solution’s automation surface supports integration into enterprise planning and execution landscapes so recommended orders can flow into downstream systems. Governance is handled through planning configuration controls that map operational policies to reusable planning runs.
- +Constraint-aware replenishment recommendations tied to planning policy
- +Integration-friendly workflow design for order and transfer execution
- +Lead-time variability handling supports more realistic availability decisions
- +Reusable planning runs reduce repeated manual parameter work
- –Setup effort is high when item-location attributes are incomplete
- –Debugging plan drivers can take longer than in simpler reorder approaches
- –Automation depends on correctly mapped source and destination data flows
- –Less intuitive for teams that only need single-echelon reorder points
Best for: Fits when global planners need constraint-aware replenishment with repeatable policy runs.
RELEX Solutions
enterpriseRetail and supply chain planning platform with demand forecasting and inventory optimization.
Node-spanning replenishment decisions that coordinate stock positioning and actions across warehouses and retail locations.
RELEX Solutions is an inventory planner built for production and supply planning teams that need decisioning tied to real store and warehouse constraints. It focuses on multi-echelon inventory planning workflows, including replenishment recommendations and lead-time tracking across nodes.
Automation centers on scenario planning loops that repeatedly calculate service targets, safety stock levels, and purchase or transfer actions as inputs change. Deep integration is a key theme, with connectivity designed to exchange planning outputs with ERP and warehouse execution systems.
- +Multi-echelon planning supports warehouse and location-level stocking logic
- +Replenishment recommendations incorporate constraints like MOQ and order multiples
- +Scenario-driven planning supports rapid iteration on service and stock targets
- +Integration focus enables planning output to flow into downstream execution
- –Planning configuration requires disciplined mapping of SKUs, nodes, and constraints
- –User workflows can feel heavy when teams only need basic reorder calculations
- –Granularity increases tuning effort for lead-time variability and demand signals
- –API extensibility varies by integration pattern and data readiness
Best for: Fits when global manufacturers need constrained replenishment and transfer actions across multiple inventory nodes.
Conclusion
After evaluating 10 supply chain in industry, Katana stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right inventory planner software
Inventory planner software turns forecasting inputs, lead-time assumptions, and inventory policies into replenishment actions like purchase order recommendations and transfer order recommendations across warehouses and locations. The tools covered in this buyer's guide include Katana, Inventory Planner, Netstock, Slimstock, Flieber, StockTrim, MRPeasy, Anvyl, Blue Ridge Global, and RELEX Solutions.
Katana emphasizes lead-time aware replenishment guidance that ties expected demand and lead-time assumptions into purchase order recommendations for planner review. Inventory Planner focuses on policy-parameter driven purchase and transfer recommendations that stay auditable through the planning decisions that produced them.
Inventory planner software for constraint-aware replenishment, across locations and supply plans
Inventory planner software supports inventory replenishment decisions by combining demand signals, lead-time inputs, and location or node constraints into reorder and procurement actions. Many planners then review outputs as recommended purchases and transfers rather than manual reorder math.
Katana converts inventory assumptions into replenishment guidance that planners can inspect before approving purchase order actions. Netstock recalculates inbound-aware recommendations as supply changes so replenishment stays aligned to on-hand and inbound conditions rather than a static plan.
Inventory planner capabilities to compare across replenishment workflows
Inventory planner software must translate demand signals, lead-time assumptions, and replenishment policies into reviewable purchase and transfer actions rather than static reorder math. The planners covered in this guide differ most in how they connect assumptions to outputs and how they handle inbound timing, constraints, and approval states.
Replenishment guidance that ties timing assumptions to procurement actions
Katana links expected demand and lead-time assumptions into purchase order recommendations for planner review. Slimstock turns lead-time and constraint coverage gaps into direct replenishment actions built for purchase decisioning.
Policy-parameter traceability for purchase and transfer decisions
Inventory Planner ties recommended purchase and transfer orders to inventory policy parameters that stay auditable through planning decisions. Anvyl preserves approval-bound planning workflows that keep planner change history tied to specific planning states.
Inbound-aware recalculation when supply changes
Netstock recalculates recommendations as supply changes so replenishment stays aligned to on-hand and inbound conditions. Netstock also supports warehouse-level planning with location-aware constraints for day-to-day exception handling.
Constraint-aware recommendations across items and locations or nodes
StockTrim generates purchase and transfer order recommendations from planning inputs while respecting item rules and location context. RELEX Solutions coordinates stock positioning across warehouses and retail nodes to produce constrained replenishment and transfer actions.
Scenario modeling to isolate which assumptions drive stockout and overstock risk
Flieber provides side-by-side replenishment scenario comparisons to show which assumption changes most impact stockout risk and overstock. Flieber also applies safety stock and reorder point logic built around service target planning.
Production-linked planning that rolls item demand into components
MRPeasy uses BOM-linked production requirements to roll item demand into component ordering and production quantities. MRPeasy pairs reorder-point planning with BOM-driven component needs so production execution inputs can stay consistent with replenishment.
How to choose inventory planner software for replenishment decisions
The right inventory planner software depends on where planning decisions must be explainable, how often recommendations must update, and how complex the constraint mapping becomes during day-to-day operations. Decision paths differ between teams that want review-first guidance and teams that need inbound-responsive recalculation or deep multi-echelon optimization.
Start from the action type planners must approve or execute
Teams focused on purchase and replenishment review should evaluate Katana because it converts inventory assumptions into purchase order guidance planners can inspect before approval. Teams focused on auditable decision logic across purchase and transfer should evaluate Inventory Planner because its recommendations link back to policy parameters.
Choose the update model that matches how supply data changes
If inbound and receipts timing changes frequently, Netstock fits because it recalculates inbound-aware replenishment recommendations when supply changes. If recommendations must be derived from controlled planning runs tied to planner approvals, Anvyl fits because it keeps approval steps bound to planning records.
Validate constraint mapping depth against the network shape
Network planners running multi-echelon allocation across many nodes should evaluate RELEX Solutions because its replenishment decisions span warehouse and retail location actions. Mid-market teams with constrained item-location rules should compare StockTrim and Netstock because both provide constraint-aware purchase and transfer recommendations with location-aware constraints.
Pick the planning philosophy for assumption testing
If replanning requires assumption testing and side-by-side risk comparisons, Flieber fits because it highlights which assumption changes most impact stockout risk and overstock. If the planning workflow must convert assumptions directly into procurement actions for immediate reorder decisions, Slimstock fits because it is recommendation-first with lead-time and constraint coverage.
Require production-aware demand rollups when replenishment drives manufacturing inputs
Manufacturing teams that need demand rolled into component ordering should evaluate MRPeasy because BOM-linked production requirements connect item demand to component needs. Teams that want replenish-first guidance without BOM rollups should prioritize Katana, Netstock, or StockTrim based on the timing and constraint depth required.
Who inventory planner software fits best
Inventory planner software fits teams that must convert forecasting signals and lead-time variability into repeatable replenishment actions across locations or nodes. The best fit depends on whether the organization needs explainable purchase order guidance, inbound-responsive recalculation, approval-bound workflows, or production-linked component planning.
Inventory planners managing procurement timing at the item level
Katana is a fit when teams want lead-time aware purchase order recommendations that planners can review against timing assumptions. Slimstock is a fit when planners want coverage gaps converted into procurement actions with lead-time and constraint awareness.
Organizations running multi-warehouse transfers with policy governance
Inventory Planner is a fit when planners need recommended purchase and transfer orders tied to auditable inventory policy parameters. Anvyl is a fit when approval workflows must preserve planner change history tied to planning states.
Operations teams needing recommendations that respond to inbound changes
Netstock fits when supply changes frequently and replenishment must be recalculated against on-hand and inbound conditions. It also fits when warehouse-level planning requires location-aware constraints for execution.
Global manufacturers with constrained replenishment across multiple inventory nodes
RELEX Solutions fits when stock positioning decisions must coordinate across warehouses and retail locations in a multi-echelon setting. RELEX Solutions also fits when constraint-driven transfer actions require disciplined mapping of SKUs, nodes, and rules.
Mid-market teams validating safety stock assumptions through scenario comparisons
Flieber fits when planners need scenario-driven replenishment comparisons to show which assumption changes shift stockout risk and overstock. It also fits when safety stock and reorder point logic must support service target planning.
Common mistakes that derail inventory planner software projects
Inventory planner implementations fail most often when master data and item-location attributes are incomplete or when teams underestimate the effort required to govern constraint sets. Another recurring failure mode is choosing a solution whose update model does not match how quickly inbound, receipts, or planning assumptions change.
Buying a constraint-heavy planner without establishing item-location attribute completeness
Inventory Planner and StockTrim both depend on item-location constraints and lead-time and constraint inputs for recommendation quality, so missing attributes degrade outcomes. RELEX Solutions also requires disciplined mapping of SKUs, nodes, and constraints, so incomplete coverage slows configuration work.
Using a static planning approach when inbound supply changes frequently
Netstock recalculates inbound-aware recommendations as supply changes, so teams that need that behavior should not pick tools designed around slower planning-run cycles. Planning workflows that cannot refresh quickly risk recommendations that drift away from on-hand and inbound conditions.
Assuming multi-echelon optimization depth matches the network complexity on day one
Katana limits multi-echelon optimization depth compared with network planners, so it can underfit complex networks. RELEX Solutions supports multi-echelon planning across warehouses and retail nodes, but it demands configuration discipline and heavier workflows.
Selecting scenario comparison as a primary workflow without matching governance needs
Flieber supports side-by-side replenishment scenario comparisons, so it can align well with assumption testing but may still require separate governance steps for approvals. Anvyl provides approval-bound workflows tied to planning records, so teams needing controlled change management should prioritize approval tracking over scenario-only evaluation.
How We Selected and Ranked These Tools
We evaluated Inventory Planner software using feature fit for constraint-aware replenishment actions like purchase order recommendations and transfer order recommendations, and Katana led the list with lead-time aware purchase guidance built for planner review. We scored each tool on how well it connects replenishment outputs to planner-inspectable decision drivers, and Inventory Planner ranked high by tying recommendations to auditable policy parameters.
We weighted features at 40% and then ranked on ease and value at 30% each, with Netstock and Slimstock benefiting from their inbound-aware or lead-time and constraint aware recommendation workflows. We kept Katana at the top because its replenishment guidance ties expected demand and lead-time assumptions directly into purchase order recommendations and reduces timing mistakes in reorder decisions.
Frequently Asked Questions About inventory planner software
How do inventory planners calculate reorder point and stockout risk with lead-time variability?
Which tools provide multi-warehouse or multi-location planning views for transfer and purchase recommendations?
What breaks if open purchase orders and inbound supply signals are missing from the planning inputs?
How do scenario and what-if workflows differ across Flieber, Slimstock, and Anvyl?
Which tools focus on policy-based exception handling rather than generic dashboards?
How do integrations and APIs move planning inputs and outputs between ERP and warehouse systems?
How is RBAC and audit logging handled in tools that support approval and governance workflows?
How do data migration and master data requirements affect planning accuracy in MRPeasy and Katana?
Which tools are designed for production planning with BOM-linked requirements and not only purchasing?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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