Decision Automation for Distributors
Solvoyo is AI-native supply chain decision automation for wholesalers and distributors. It forecasts long-tail SKUs and sets multi-echelon inventory targets at every warehouse and DC. It also generates purchase orders automatically and plans transportation together with inventory, so distributors scale across thousands of SKUs and customer SLAs without adding headcount.
+95%
Decision Automation
8-18%
Inventory reduction

Results at a Glance
20%
Improvement in Forecast Accuracy
15%
Higher DC Pick and Pack Efficiency
40%
On-Time In-Full Rate Increase
95%+
Decision Automation
Named Customer Results

15%
Less perishable stock wasted, for an FMCG distributor supplying 76,000+ retail locations.

20%
Higher truck utilization for a foodservice distributor making 3,000+ deliveries a day.
Global automaker
€18M
Recurring annual savings across an aftermarket parts network of 18 European DCs and 16,000+ dealers.
Solvoyo Platform
Demand & Forecasting
Forecast volatile customer demand across the network with models that adapt automatically.
Inventory & Replenishment
Set multi-echelon inventory targets and automate replenishment and DRP to free working capital.
Fulfillment & Transportation
Optimize inbound and outbound transportation and fulfillment to lower cost and improve reliability.
End-to-End Visibility & Analytics
Track customer orders against forecasts, inventory levels, and vendor purchase orders in one screen with alerts so you can focus on what’s most important for your business.
Supplier Performance
Supplier performance is tracked continuously across OTIF rates, lead time reliability, fill rates, and order accuracy — giving procurement and supply chain teams a data-driven view of which vendors are protecting service levels and which are introducing the variability that drives safety stock inflation, emergency buys, and stockouts downstream.
One Platform for the Entire Distribution Chain
Demand Forecasting Across Long-Tail SKU Portfolios
Solvoyo generates demand forecasts across thousands of active SKUs, including slow-movers, intermittent sellers and long-tail items that traditional statistical models handle poorly. AI/ML methods select the best forecasting approach for each SKU based on demand pattern, velocity and history length. Seasonal profiles, customer-specific order patterns and promotional events are built in automatically, so distributors get a reliable demand signal across the full portfolio, including the items that manual attention does not reach.
Multi-Echelon Inventory Optimization Across the Distribution Network
Solvoyo’s inventory planning optimizes inventory targets at the same time across every node in the distribution network: central warehouses, regional DCs and forward stocking locations. It uses MEIO with dynamic safety stock calculation, which recalibrates buffer levels continuously from service level targets, demand variability and supply uncertainty at each echelon.
Static safety stock rules go out of date quickly as demand patterns shift. Solvoyo recalculates the optimal buffers as forecast error, lead time variability and customer-specific service commitments change. High-priority accounts and contractual SLAs stay protected without over-investing in inventory at nodes where demand is more predictable.
Supplier & Vendor Management
Solvoyo generates purchase orders automatically with demand-driven replenishment models that evaluate multiple suppliers at once. The models compare lead times, unit costs, minimum order quantities and volume discount thresholds, then select the cost-minimizing sourcing option that still meets OTIF targets for each customer or customer segment.
When a preferred supplier cannot meet the required delivery window, Solvoyo automatically identifies the next-best alternative that preserves service commitments and avoids the most expensive option. Vendor collaboration workflows automate PO sharing, confirmation tracking and delivery status monitoring. Procurement teams see inbound supply across the entire supplier base in real time, with no need to chase individual vendors for updates or manage exceptions manually.
Automated Purchase Order Planning & Order Consolidation
Solvoyo generates purchase orders automatically by consolidating replenishment needs across multiple distribution nodes. It aggregates demand signals from every warehouse and DC into unified supplier orders that meet minimum order quantities, pallet configurations and full truckload thresholds, with no manual coordination between sites.
When each node places its own orders, they can fall short of MOQs or leave trucks half empty. Solvoyo looks across the network in real time for orders it can consolidate. That cuts freight cost per unit, gets orders past volume discount thresholds and improves the economics of the supplier relationship, and node-level service targets stay intact.
Procurement teams get a clean, automated workflow from demand signal to executable PO. They can see the order consolidation logic, supplier lead times and budget constraints at every step.
Inbound & Outbound Transportation Planning
Solvoyo’s transportation and fulfillment planning optimizes inbound and outbound transportation concurrently with inventory and replenishment planning. Freight costs, carrier constraints and delivery windows are factored into purchasing and fulfillment decisions at the moment those decisions are made, with no after-the-fact reconciliation by a separate logistics team.
Inbound planning consolidates supplier shipments to maximize load utilization and minimize cost-per-unit landed. Outbound routing optimizes multi-stop, multi-modal delivery schedules against customer service windows, fleet constraints and hours-of-service regulations. The inbound logistics guide to maximizing fleet utilization covers the inbound side in more detail.
The result is a total cost-to-serve view that lets distributors make explicit trade-offs between inventory positioning, transportation spend and service level, so each one is optimized with the other two in mind. Strategic network design applies the same total cost to serve model to decisions such as opening or closing a DC.
Slow-Mover & Obsolescence Management
Solvoyo identifies slow-moving, excess and at-risk inventory continuously. AI-driven diagnostics flag items approaching obsolescence before write-offs become unavoidable and trigger recommended actions: price reductions, reallocation across the network or supplier return coordination. Working capital tied up in dead stock is quantified at the SKU and category level, so supply chain and finance teams share one view of inventory health and see obsolescence coming before period-end.
Solvi: From Insights Into Actions
Solvi, Solvoyo’s AI planning agent, continuously monitors demand signals, inventory positions, supplier OTIF performance and stock cover across every node in the distribution network. It alerts procurement and supply chain teams the moment it detects a service level risk, an excess inventory build-up or a supplier reliability issue, before the problem breaches a customer commitment or inflates safety stock unnecessarily.
When Solvi finds a coverage gap or a slow-moving inventory position, it diagnoses the root cause and quantifies the working capital and service level impact of inaction. It then generates prioritized recommendations, from replenishment consolidation and supplier escalations to network rebalancing and safety stock recalibration, that distribution planners can execute directly within the platform.
Service Without Headcount
Scale across thousands of SKUs and every customer SLA without adding planners to manage the complexity.
Free Up Working Capital
Turn excess and trapped inventory into cash. Working capital productivity improves and fill rates stay protected.
Total Cost-to-Serve
See inventory, freight and service as one trade-off, and optimize landed cost across the network.
Autonomous by Default
The platform plans automatically and flags only the exceptions, so teams act on what matters.
Wholesale & Distribution Capabilities
AI-Driven Demand
Forecasting
Accurately predict demand using best fit models to address different types of product life cycles and demand patterns for seasonal to everyday products, special holidays, and non-food for each type of behavior.
Dynamic Product Segmentation
for Inventory Management
Measure demand volume and variability to segment products and provide dynamic safety stock calculations to achieve service level targets
Concurrent Fulfillment &
Transportation Automation
Automate priority-based fulfillment and transportation routing based on sales orders, fulfillment plans, transportation modes, optimal route plans and critical inputs such as service level or sustainability targets.
Automated Purchase Order
Recommendations
Generate objective-based recommendations at the product level for each warehouse location. The inputs are inventory levels, lead times, delivery schedules, logistics constraints, minimum order quantities, warehouse capacity, supplier volume targets, shelf life and more.
Network Rebalancing
Between Warehouses
Maximize sales and optimize inventory across the network with product transfer recommendations between warehouses, based on current sales orders and future demand.
Diagnostic Analytics &
Predictive Alerts
Identify the root causes of stockouts and excess inventory, act on slow-moving items before they expire, and implement markdowns for maximum profit with minimal waste. A control tower dashboard shows issues before they arise, so teams manage exceptions early.
Read More
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$8.7M a Year and 40% Better OTIF: How g2m Plans Foodservice Distribution Replenishment and Last Mile Delivery
Read more ->: $8.7M a Year and 40% Better OTIF: How g2m Plans Foodservice Distribution Replenishment and Last Mile Deliveryg2m, a leading foodservice distribution company in Turkey, improved OTIF by 40% and truck utilization by 20%, and saves $8.7M…
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10% Less Inventory Investment: How Duzey Built Collaborative Supply Chain Planning
Read more ->: 10% Less Inventory Investment: How Duzey Built Collaborative Supply Chain PlanningDuzey is a wholesale FMCG distributor supplying more than 76,000 retail locations from 62 distribution centers and 9 regional warehouses.…
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Wholesale Distribution Inventory Planning by SKU and Branch
Read more ->: Wholesale Distribution Inventory Planning by SKU and BranchHow distributors plan inventory across long-tail SKUs, many customers and several branches: service targets by segment, supplier minimums and volume…
See How Solvoyo Fits Your Distribution Planning
Solvoyo automates the forecasting, replenishment and transportation decisions of wholesale distributors. Request a demo to see how it works.


Frequently Asked Questions
Wholesale distributors sit in the middle of the supply chain. They manage thousands of SKUs across multi-echelon networks and serve customers with very different service level expectations, while absorbing cost pressure from both suppliers and buyers at once. Margins are already thin, so planning failures hurt quickly. They show up as lost customer contracts, excess inventory that erodes working capital, and emergency procurement that inflates landed cost.
Solvoyo forecasts demand automatically across long-tail SKU portfolios, using AI/ML methods that select the best forecasting approach for each SKU. The choice depends on demand pattern, velocity and history length. This covers slow-movers, intermittent sellers and seasonal items, which traditional statistical models handle poorly. Customer-specific order patterns, promotional events and seasonal profiles feed in automatically, so distributors get a reliable demand signal across the full portfolio, including the items that manual attention does not reach.
Solvoyo optimizes inventory targets at the same time across every DC and warehouse node, using multi-echelon inventory optimization with dynamic safety stock calculation. Buffer levels are recalibrated continuously from service level targets, demand variability and lead time uncertainty at each echelon. Duzey achieved a 10% reduction in overall inventory investment while simultaneously achieving a 10% reduction in lost sales. Optimizing inventory across the full network makes both gains possible at once.
Solvoyo generates purchase orders automatically by evaluating multiple suppliers at once. It compares lead times, unit costs, minimum order quantities and volume discount thresholds, then selects the cost-minimizing sourcing option that still protects OTIF targets for each customer segment. It also consolidates replenishment needs across multiple warehouse nodes into unified supplier orders that meet MOQ, pallet configuration and full truckload thresholds. That cuts freight cost per unit and reaches volume discounts that individual warehouse orders would never hit.
Solvoyo optimizes inbound and outbound transportation concurrently with inventory and replenishment planning. Freight costs, carrier constraints and delivery windows are factored into purchasing and fulfillment decisions at the moment those decisions are made, with no after-the-fact reconciliation by a separate logistics team. g2m redesigned fulfillment and transportation operations for better efficiency. It optimized inventory investment versus service level commitments across its HoReCa distribution network. Inbound consolidation maximizes load utilization, and outbound routing optimizes multi-stop delivery schedules against customer service windows and fleet constraints.
Recommendations are good enough that planners rarely edit them, so distribution customers reach 95%+ automation on daily ordering and replenishment decisions.
Yes. Solvoyo works with businesses at any level of digital maturity, including teams that plan entirely in spreadsheets. In the Digitize step, we run automated data diagnostics on your existing data, wherever it lives, to find gaps, inconsistencies and quality issues. Our AI then helps fill in missing data points and improve your input data, so you do not need years of system cleanup before you start. That shortens the path from where you are today to autonomous, no-touch planning.





