Toolio vs. Invent at a Glance
A side-by-side on the dimensions that separate a full merchandise planning platform from an AI inventory optimization engine. Invent.ai details are based on publicly available information. Verify against Invent.ai's current materials.
Category
Purpose-Built for Retail
Planning Depth
Who Operates It
AI Approach
AI & Forecasting
Assortment Planning
Cost Model
Integration
Support & Updates
Complete merch planning: MFP, OTB, assortment, and allocation for fashion, apparel, and specialty retail.
MFP, open-to-buy, assortment, and allocation as an integrated, merchant-operated daily workspace.
Merchants and planners, directly. No model-building team required.
AI embedded in planning workflow surfaces recommendations. Planners make calls on assortment, buys, and markdowns.
AI-powered demand forecasting surfaced in the planning workflow; no data-science team required.
Core to Toolio, assortment and allocation integrated with MFP in one merchant workflow.
Predictable modular SaaS. Pay for the modules you use.
Configurable ERP, POS, and e-commerce connections; cloud-native.
Dedicated support, continuous updates, little IT lift.
AI-native inventory optimization, forecasting, allocation, and replenishment across retail verticals.
Strong in inventory and replenishment optimization; MFP and assortment planning included but secondary to AI decisioning.
Planning and inventory teams supported by Invent.ai's team; AI automates many decisions.
Multi-agentic AI that continuously adjusts inventory, replenishment, and pricing decisions in real time with automated recommendations.
Advanced forecasting at granular SKU x location level, allocation, and replenishment.
Included; stronger in allocation and replenishment optimization than pre-season assortment architecture.
Modular platform; pricing not publicly listed. Verify with Invent.ai.
Broad integration capabilities; typically expert-led to configure.
Support included; in-person training available.
What Separates Toolio and Invent
Both are built for retail and both bring AI to planning. The difference is what problem each is solving: Toolio is the merchant's planning platform: MFP through allocation in one connected workflow. Invent.ai is an AI decisioning engine built primarily to optimize inventory, forecasting, and replenishment outcomes in real time.
Toolio covers the full merchant workflow: MFP, open-to-buy, assortment, and allocation — as an integrated planning platform. Invent.ai leads with AI-native inventory optimization and continuous decisioning.
If your team needs a place where financial targets, assortment decisions, and allocation run together in one workspace merchants control, Toolio is built for that. Invent.ai is a strong choice when the primary goal is automating inventory and replenishment decisions at high frequency. It's less focused on the pre-season assortment and financial planning workflows that define merchandise planning for fashion and specialty teams.
Toolio is operated by merchants and planners directly. Invent.ai's platform automates many inventory and replenishment decisions through AI agents; a different model for a different kind of team.
In Toolio, the planner sees AI recommendations in context and acts on them, choosing what to carry, where to allocate, and how to manage the assortment in-season. Invent.ai's multi-agentic AI continuously adjusts positions without waiting for a planner to trigger the action, which reduces manual work significantly but shifts how much control the planning team directly holds over individual decisions.
Toolio is built for fashion, apparel, and specialty merchant workflows. Invent.ai serves a broader range of retail verticals including grocery and convenience.
Seasonality, size and color depth, assortment architecture, markdowns, and open-to-buy are the native language of fashion and specialty planning — and how Toolio is designed to work. Invent.ai's customer base includes apparel brands like Alo Yoga and Tailored Brands alongside grocery and specialty, so its platform is built to generalize across verticals rather than go deep on any one retail model.
Both bring AI to forecasting, the difference is where it lands. Toolio surfaces AI inside the merchant's decisions; Invent.ai runs AI as the primary decisioning engine, continuously recalculating and recommending across inventory, pricing, and replenishment.
Invent.ai's forecasting capabilities are genuinely strong; Retail Forecasting, Allocation, and Replenishment for both short and long life-cycle products. For retailers where automated replenishment optimization is the biggest opportunity, that depth is a real draw. For retailers where the bigger opportunity is in assortment planning, financial target-setting, and connected MFP, Toolio is the more direct platform.
Toolio covers assortment and allocation as core modules in the same platform planners use daily. Invent.ai's strength is in allocation and replenishment optimization. Pre-season assortment planning is less central to its architecture.
For fashion and specialty teams, assortment decisions: what to carry, in which sizes and colors, at which locations are the planning work. Toolio is designed around those workflows, with shared plans across merchandising and finance so teams collaborate in one connected view. Invent.ai's assortment tooling is improving but its core differentiator is inventory and replenishment AI, not assortment architecture.
Toolio keeps MFP, open-to-buy, assortment, and allocation in one platform so financial targets and inventory decisions stay in sync for the merchant team. Invent.ai connects inventory decisions to financial outcomes, but financial planning is a layer rather than the foundation.
In Toolio, the buy ladders up to financial targets. A planner can see immediately how an assortment or allocation decision affects margin and open-to-buy. For finance and merchandising teams where that top-down-to-bottom-up financial connection is central, Toolio's architecture fits more naturally.
Invent.ai is a genuinely capable AI platform with real results, forecasting, allocation, and replenishment, with documented outcomes including in-stock improvement, revenue lift, and margin gains across retail customers. Its multi-agentic AI architecture continuously adjusts inventory positions in real time, reducing manual work and responding to demand shifts faster than traditional planning cycles allow.
If the biggest opportunity for your team is automating inventory and replenishment decisions at high frequency. If you want AI doing more of the decisioning rather than supporting planners in making it, Invent is a serious choice. If the priority is a complete merchandise planning platform where merchants run MFP, assortment, and allocation in one connected workflow, Toolio is the more direct fit.
See Toolio In Action
The best way to understand what Toolio could do for your team is to start a conversation.
For complete merchandise planning: financial planning, open-to-buy, assortment, and allocation operated by merchants and planners directly, Toolio is the more direct fit. Invent.ai is an AI-native platform focused on inventory optimization, forecasting, allocation, and replenishment, with strong AI decisioning but less depth in merchant-led MFP and assortment workflows.
Invent.ai includes MFP as part of its platform alongside forecasting, allocation, and replenishment. Its core strength is AI-driven inventory optimization and continuous decisioning. Toolio is built around the full merchant planning workflow: MFP, open-to-buy, assortment, and allocation as the team's daily workspace.
Both apply AI to planning. Toolio embeds AI inside the merchant's workflow: surfacing recommendations where planners make calls on assortment, buys, and markdowns, but the planning team acts on it directly. Invent.ai leads with a multi-agentic AI architecture that automates and continuously adjusts inventory and replenishment decisions, which suits retailers prioritizing AI-driven automation over merchant-led planning.
Yes. Enterprise retail and apparel brands run merchandise planning on Toolio.
Yes. Toolio is built for the fashion, apparel, and specialty merchant workflow — seasonality, assortment architecture, size and color, open-to-buy, and financial planning and goes live in months without a data-science team. Invent.ai's customers include apparel and specialty retailers, but its architecture is optimized for AI-automated inventory decisions rather than planner-led assortment and financial planning workflows.
Yes. Toolio applies AI to merchant decisions and surfaces it inside the planning workflow, so planners act on forecasts directly without a separate data-science function. Invent.ai's platform goes further into automated, continuous AI decisioning: adjusting inventory, replenishment, and pricing in real time, which is a different approach suited to retailers prioritizing automation over planner control.
Yes. Toolio is operated by merchants and planners directly, with no data-science or model-building team required.
Yes. Merchandise financial planning, open-to-buy, assortment, and allocation live in one platform, so financial targets and inventory decisions stay connected in the merchant's daily workflow.
Yes. Toolio is SOC 2 Type II certified, the data-security standard most enterprise procurement and IT reviews require.
Toolio connects to ERPs (NetSuite, SAP), e-commerce platforms (Shopify), POS and wholesale order management, and data warehouses (BigQuery, Snowflake, Redshift). Data syncs automatically and incrementally, so plans always reflect current actuals.
