Integrations
Connects commerce, pricing and promotions, inventory and supply chain, CRM, marketing, finance and ERP systems, plus external data such as market trends, weather and events, into one model.
Learn moreTinkery
Commercial intelligence for enterprise retail pricing, promotions and stock
Intermediate
What is Tinkery?
Tinkery is an AI platform for enterprise retail that unifies commercial data, recommends pricing, promotion and inventory actions with quantified impact, and executes approved decisions with humans in control.
Tinkery is a commercial intelligence platform aimed at enterprise retailers that need to make pricing, promotion and inventory decisions faster and with less manual analysis. Rather than presenting another reporting dashboard, it builds a single model of the business from ERP, commerce, CRM, marketing, inventory and finance data, then uses that model to find problems, quantify them and propose a specific action. The homepage walks through a worked example that shows the intended loop. The platform flags slow-moving SKUs by urgency and shows the capital they tie up, along with the cost of inertia (COI). It then diagnoses one product against its category's sales velocity and compares discount scenarios (conservative, recommended and aggressive) by units sold, COI avoided and net benefit. Once a discount is approved and applied, it tracks units sold against target and reports the final impact on freed working capital and margin. The product is organized in three layers: Commercial Context, which reconciles data into one model; Decision Intelligence, which recommends the next best action with reasoning; and Agentic Orchestration, which coordinates execution across pricing, promotions and inventory. Approvals stay human-in-the-loop, and the system learns from the outcome of each cycle. Use cases cover promotion performance (separating true lift from cannibalization and pull-forward), pricing intelligence (elasticity, competitive posture and guardrails) and inventory performance (risk cohorts, markdown timing and sell-through). Dedicated pages target chief commercial officers, merchandising, pricing, inventory and ecommerce directors. The company cites margin gains of 3 to 5 percent, promotion ROI up 20 percent and 90 percent less reporting effort, though these are vendor claims rather than independent results. Among alternatives, it sits between traditional retail analytics suites and standalone price optimization or promotion planning tools, positioning itself as a connected system that also executes decisions. Access starts with a sales-led demo on the buyer's own categories and systems.
How do you use Tinkery?
1Book a demo on your own data
Request the 30-minute walkthrough, which is run on your categories, margins and systems.2Review the platform layers
Read how Commercial Context, Decision Intelligence and Agentic Orchestration fit together before the call.3Check data source compatibility
Look at the integrations page to confirm your ERP, commerce, CRM and inventory systems can be connected.4Pick a first use case
Choose pricing intelligence, promotion management or inventory performance as the decision area to start with.5Review and approve recommendations
Inside the product, work through flagged SKUs, compare discount scenarios and approve the action, then track results against target.
Pros and cons
Pros
- Connects ERP, commerce, CRM, marketing and inventory data into one commercial model instead of separate feedsAI
- Recommendations come with quantified impact, such as COI avoided and net benefit per discount scenarioAI
- Approvals stay human-in-the-loop, so teams keep control over autonomous pricing and promotion changesAI
- Covers pricing, promotions and inventory together, which helps avoid decisions made in silosAI
- Role-specific pages for pricing, merchandising, inventory and ecommerce leaders clarify who it servesAI
Cons
- Pricing is not published, and access starts with a demo request, which slows evaluationAI
- Aimed at enterprise retail, so small merchants are unlikely to fit its scope or budgetAI
- No self-serve trial is mentioned, so buyers cannot test it on their own data before talking to salesAI
- Performance figures such as margin and promotion ROI gains are vendor claims without independent validationAI
- Value depends on integrating several source systems, which may mean a significant implementation effortAI
How much does Tinkery cost?
Features
Unified commercial model, continuous opportunity detection, quantified action recommendations, human approval workflows, autonomous execution across pricing, promotions and inventory, scenario comparison, live tracking against targets, and outcome learning.
Learn moreFrequently asked questions about Tinkery
How do you use Tinkery?
The walkthrough on this page covers 5 steps: 1. Book a demo on your own data 2. Review the platform layers 3. Check data source compatibility 4. Pick a first use case 5. Review and approve recommendations.What platforms does Tinkery support?
Tinkery is available on Web App.What does Tinkery integrate with?
Connects commerce, pricing and promotions, inventory and supply chain, CRM, marketing, finance and ERP systems, plus external data such as market trends, weather and events, into one model.What are the limitations of Tinkery?
Pricing is not published, and access starts with a demo request, which slows evaluation. Aimed at enterprise retail, so small merchants are unlikely to fit its scope or budget. No self-serve trial is mentioned, so buyers cannot test it on their own data before talking to sales.
