Supply Chain Analytics That Act
Solvoyo is supply chain decision automation software. Its analytics show inventory, demand, supply and service in one Control Tower, find the root cause of each exception, rank exceptions by impact and predict emerging risks. Solvi, the AI planning agent, recommends the action and planners execute it in the platform. Stock-outs fall 20-50% and total cost-to-serve 4-18%.
20-50%
20-50%Stock-out / OOS reduction
4-18%
4-18%Total cost-to-serve reduction
Don’t Take Our Word for It
With a network of 9800 stores, supply chain disruptions and uncertainty are normal for us, we keep opening hundreds of new stores and multiple DCs every year. With advanced analytics and automation, we planned for this level of complexity way ahead of our competitors.
80% of IT tools investment fails if the partners don’t strive to continuously improve and adapt. That is what sets our partnership with Solvoyo apart.
With Solvoyo, we eliminated spreadsheets from the process and simultaneously increased process speed and planner efficiency across all regions.
Solvoyo has been a very effective solution partner in our fast growth and digital transformation journey. Using Solvoyo’s platform for fashion planning solutions, we were able to bring automation to buy planning and size optimization decisions.
When I write or speak about supply chain management, I always state that the purpose of a supply chain is to do one thing – enable growth. I believe Solvoyo is the optimal supply chain platform to help companies achieve the growth they desire.
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Solvoyo Platform
Results at a Glance
8-18%
Inventory reduction
8-12x
Faster daily/weekly planning (predictability)
600-800 bps
Service uplift
95%+
Decision Automation on daily operational planning
What Solvoyo Analytics Does
Supply Chain Visibility With the Control Tower
Monitor the whole supply chain in a single Control Tower: real-time in-transit inventory, demand variability, service levels, forecast bias and KPI performance across every product, store and distribution center. Bottlenecks, risks and opportunities surface where teams can act on them.
Automated Diagnostics
Detect stockouts, service-level breaches, excess inventory and forecast bias in real time. Machine learning traces each one to its root cause, surfaces the driver behind every exception and ranks it by impact, so teams fix the biggest issues first.
Cross-Functional KPI Dashboards
Configurable, cross-functional KPI dashboards show current status, recent trends, and the best- and worst-performing products, stores and DCs at a glance. Users drill from a headline metric straight to the underlying detail.
Predictive Alerts & Early Warning
Predictive analytics flag demand shifts, supply risks and service-level threats before they materialize. Teams get early warning with enough lead time to intervene.
Data Diagnostics
Data Diagnostics continuously assess the health of the data feeding every plan: completeness, consistency, timeliness and anomalies across master data, sales, inventory and supplier feeds. Teams are alerted to the specific gaps that undermine recommendation quality before they distort a decision.
Solvi: From Insights to Actions
Solvi, Solvoyo’s AI planning agent, continuously monitors performance across demand, inventory, supply and service. It detects exceptions, diagnoses their root causes and generates prioritized, explainable action recommendations that planners execute directly in the platform.
Ask Why a KPI Moved
Ask why a KPI moved and Solvi traces it to the real driver in plain language. The analysis ends in a decision.
Planning by Exception
The system surfaces only what needs attention and the action to take. Planners spend their time on decisions.
One Version of the Truth
Demand, inventory, supply and execution data sit on one model, so every team reads the same numbers.
Visibility That Triggers Action
Insights connect straight to the planning engine, so a flagged risk becomes a rebalanced plan automatically.
What Is Total Cost to Serve?
Total cost to serve is the full cost of getting a product to a customer at the service level you promise. It includes transportation, facility and handling costs, inventory carrying cost at each node in the network, production cost by location, and the cost of lost sales when service targets are missed.
Cutting one of these costs in isolation can raise the others: lower freight spend can bring higher warehouse cost, more inventory and weaker service. Solvoyo optimizes cost, service, inventory and feasibility together, from stock levels in inventory planning to the facility footprint in strategic network design.
The same calculation chooses the fulfillment node. Transportation and fulfillment planning optimizes fulfillment, inventory and transport in one pass, so each order goes to the cheapest feasible node, recalculated continuously. Solvi detects when cost to serve, service levels or carbon footprint drift from the network model’s projections and triggers scenario comparisons.
Retail teams can see inventory health quantified in financial terms in Retail Analytics & Collaboration. A dedicated Customer Success engineering team monitors KPIs and data health after go-live. For the case for a control tower, read why a control tower is essential for supply chain planning.
Solvoyo Differentiators
Autonomous Decision Making
Executes high-quality supply chain decisions with little to no planner intervention.
Recommendations Planners Trust
Recommendation quality drives 95%+ user acceptance, so planners accept and execute the recommendations at scale.
Optimization + AI + Heuristics
Combines mathematical rigor and machine intelligence to outperform rule-based planning.
Real-World Constraint Modeling
Builds real-world operational constraints directly into every decision the system makes.
Network Wide Objective Solving
Optimizes cost, service, inventory, and feasibility across the full supply chain at once.
Unified Data and Execution
Connects data, planning, diagnostics, and action in one system built for execution.
See Solvoyo Analytics in a Demo
See how the Control Tower, automated diagnostics and Solvi recommendations turn supply chain data into decisions.
Frequently Asked Questions
A supply chain control tower is a single, real-time view of the whole supply chain: inventory, in-transit goods, demand, supply and service performance. Teams use it to monitor issues, diagnose them and act on them from one place. Solvoyo’s AI-powered Control Tower also diagnoses the root cause of deviations automatically and recommends the action to take.
There are four types: descriptive (what happened), diagnostic (why it happened), predictive (what will happen) and prescriptive (what to do about it). Most tools stop at descriptive dashboards. Solvoyo covers all four. It diagnoses root causes automatically and predicts emerging risks. Through Solvi, it generates prescriptive, executable recommendations.
Solvoyo’s machine learning analyzes patterns across the supply chain to detect issues in real time, such as stockouts, service-level breaches, excess inventory and forecast bias. It traces each one to its underlying driver: a demand shift, lead-time variability or a supplier shortfall. Solvoyo ranks exceptions by business impact, so planners start with the highest-cost issues.
A BI tool shows you historical data and leaves the analysis and the action to you. Solvoyo’s analytics sit on a planning platform, so they connect to the decisions they inform. Solvoyo diagnoses root causes and predicts risks, and planners execute the recommended action in the same place. They get prioritized actions with the supporting analytics already attached.
Solvoyo’s self-learning algorithms track and learn from every transaction. They refine data accuracy continuously and flag anomalies before those distort a plan. Analytics and planning run on one platform with a shared data model, so the same continuously cleansed data feeds both, and the insights you see match the decisions you make.