Automated Data Cleansing
Cleanse data by adjusting for promotions, markdowns, one-time events, and out-of-stocks—ensuring accurate insights so you learn from past anomalies instead of repeating them.

AI-driven Rationalization
Get precise depth and width recommendations aligned with top-down targets, store distribution strategies, and cleansed historical data. Ensure you’re buying the right products in the right quantities to maximize sales and minimize waste.

Forecast with Confidence
Tournament forecasting takes the guesswork out of planning. Test and select the most accurate model for reliable, consistent predictions for better decisions.

Instant AI Insights
Access actionable performance analytics and seamless Monday reporting. Ask your data anything and get instant answers.






Data Agent
identifies anomalies in product master data, recommendsfixes, and applies updates with approval, eliminating manualcleanup. Planning, reporting, and allocation teams canoperate with confidence, knowing every workflow is built onaccurate, reliable data.

Opportunity Agent
identifies where to expand, reduce, or reposition theassortment, and execute those changes. By analyzinglocalized performance trends, it pinpoints which products toadd or remove by store, cluster, or channel, and can applyrecommended updates with approval, helping teams adjustplans quickly and improve margin and productivity.

Presentation Agent
into clear, compelling narratives and visual lookbooks. Itautomatically explains the direction of the assortment,highlighting key trends, changes from last year, and alignmentto budget goals, so teams can save time and communicatethe “why” with clarity and consistency.

Attribution Agent
automatically completes and maintains product attributes asassortments evolve. It uses historical patterns and sellingbehavior to fill in missing or outdated attributes, keepingclassifications aligned over time. The result is cleanerhierarchies, more reliable reporting, and more accurate planning.

Scenario Agent
generates ready-to-review scenarios based on the latestperformance insights. Instead of rebuilding plans fromscratch, teams start with simulated outcomes, spending lesstime modeling and more time on strategy.

AI for Every Role, Insights for Every Goal
Quickly analyze data and forecast demand with precision with Toolio’s AI-powered insights.
Quickly analyze data, forecast demand with precision, and rely on Toolio’s AI-powered insights and best practices to streamline planning and get answers in seconds.
Effortlessly access and analyze key data to focus on what drives results—whether you’re a CEO seeking to optimize inventory and margins, or a CFO ensuring forecasts align with financial goals.
Foster seamless collaboration across your team by centralizing data, streamlining workflows, and leveraging Toolio’s AI to provide real-time insights everyone can act on.

Two layers. Our core AI is embedded directly in the planning workflow. It powers tournament forecasting, automated clustering, assortment rationalization, and data cleansing. It's running in the background every time you build a plan or review a forecast. The AI Agents are the conversational layer on top: they surface insights, explain what's happening in your data, and handle tasks like generating scenarios or flagging anomalies without you having to pull a report. Core AI improves the decisions you're already making. Agents reduce the time it takes to get to those decisions.
Three things. First, tournament forecasting. Toolio runs multiple forecast models against your data simultaneously and selects the most accurate one for each product or category. You're not locked into a single model that works better for some parts of your business than others. Second, explainability. Every recommendation shows the reasoning behind it, so your team can interrogate the output, not just accept or reject it. Third, it's trained on retail-specific patterns: promotions, markdowns, stockouts, seasonal shifts, not adapted from a generic forecasting engine.
Accurate enough to act on and it improves over time. Models are tuned during onboarding using your historical data, then retrained weekly or monthly depending on the use case. Daily data syncs keep forecasts current as actuals come in. The system accounts for promotions, markdowns, one-time events, and out-of-stocks, the anomalies that break standard models. And because overrides are fed back into the model, accuracy improves the longer your team uses it.
No, and it's not designed to. Toolio keeps planners in control. Every forecast, recommendation, and agent output can be inspected, adjusted, and overridden. Your team makes the final call on every buy decision, transfer, and replenishment. The AI handles the calculation work: running models, flagging exceptions, generating scenarios, so planners spend less time on the mechanics and more time on the judgment calls that actually require their expertise. The goal is fewer hours on spreadsheet reconciliation, not fewer planners.
Yes. Toolio is SOC 2 Type 2 certified and compliant with GDPR and CCPA. Data is encrypted in transit and at rest. Customer data is tenant-isolated: stored in separate databases, not commingled with other customers. AI and ML processing runs within Toolio's controlled environment; your data is not used to train models for other customers. If your team has a security review process, we support it, including documentation and questionnaire completion.

See Toolio In Action
The best way to understand what Toolio could do for your team is to start a conversation.