Decide faster
Rank actions by risk, value, customer wait time, and operational blockers instead of asking managers to scan every table.
Built for stone distribution, yards, showrooms, fabricators, contractors, and materials teams.
StoneLab Hub
A self-serve operating workspace with an AI decision engine that helps materials teams see customers, orders, products, and the next action most likely to move the business.
AI-guided next best actions14-day trial. No card required. Sample data available.Guided setup in minutes
Business Overview
Sample workspace preview
Sales this month
$284K
+12% from last month
Open deals
42
$418K potential value
Booked work
Sample view of recent business momentum.
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AI Decision Engine
AI that helps managers decide what to do next
StoneLab should not behave like another reporting tool. It should read work signals, explain priorities, and guide teams toward the next best action.
Suggested by StoneLab AI
Start with the customer whose order risk, value, and waiting time make the decision most urgent. Then turn that recommendation into accountable work for the right person.
Explain the why
Show the reason behind each recommendation so teams trust the action, not just the score.
Keep control
AI suggests, managers approve, and every important decision can become auditable task history.
AI trust
AI guidance designed for operational control
StoneLab's AI layer is being built for real-time guidance: on-the-fly recommendations, company-scoped data, human approval, and plan-aware access to the best approved model for each decision.
Built to support decisions, not replace judgment.
StoneLab should keep managers in control while real-time AI guidance helps surface risk, next actions, and business context from trusted operating data as work changes.
Explainable recommendations
Show the signal, reason, source, and confidence behind suggested work before teams act.
Company-scoped data
Keep customer, order, product, employee, and pricing context separated by company and permission boundary.
Human approval first
Use AI to recommend, summarize, and prioritize while sensitive actions remain controlled by people and audit history.
Real-time model routing
Route on-the-fly AI work by plan, model depth, cache, and usage limits so each decision can use the right approved intelligence layer.
Start with your business
Set up a workspace for the way your team sells, orders, and manages materials.
Bring your data
Use sample data now, upload a CSV, or connect your systems when ready.
Focus on actions
See what needs attention without digging through disconnected spreadsheets.
First workspace experience
A trial should feel useful before your team connects a system.
StoneLab starts with a guided setup and realistic sample data so a manager can understand the product before doing a heavy implementation project.
Quick setup
Create a workspace, choose your business type, and answer a few questions that shape the first view.
Sample business data
Explore customers, orders, products, holds, and daily tasks before importing your own files.
Controlled by company
Each workspace is scoped by company membership, with admin controls kept separate from paying users.
Ways to start
Choose the path that fits your team
StoneLab should support self-serve trials and assisted sales without forcing every buyer into the same process.
Start a guided trial
Create a workspace with sample data and see the daily operating rhythm before importing files.
Start trialPlan a walkthrough
For owners or teams that want help mapping users, locations, data sources, and first success goals.
Request walkthroughPrepare follow-up
Use StoneLab as the future place for sales follow-up, service questions, and customer work history.
See sample viewCommercial operating flow
One workspace for the full customer journey
From first interest to follow-up, order movement, customer service, and leadership review, the system should keep every next step visible.
Sales follow-up
Track who needs a call, what was promised, and what should happen next.
Daily execution
Turn manager priorities into work that owners, sales reps, and operations can see.
Customer service
Keep service issues and answers connected to the customer, order, and material context.
Leadership visibility
Give owners a cleaner view of what is moving, what is stuck, and where help is needed.
Pricing direction
Pricing should adapt to the company, not the other way around
The first public version should explain value clearly while keeping plan limits, onboarding services, seats, data volume, and locations configurable.
Starter trial
A low-friction trial for one company workspace, sample data, and guided first setup.
Guided beta
Assisted onboarding for companies that want help with users, imports, templates, and success criteria.
Company rollout
Configurable pricing for seats, locations, data volume, integrations, and support depth.
Built for stone operations
One operating hub for distribution, sales, service, and field execution.
StoneLab is being designed for the companies that move natural stone, engineered slabs, tile, and related materials from supplier to showroom, customer, job site, and completed work. It can support distributors and yards first, while still adapting to fabricators, importers, contractors, builders, designers, and multi-location teams that need one shared view of inventory, customers, orders, and next actions.
Customer, quote, hold, order, and service history
Inventory-aware sales follow-up and product availability
AI-guided next moves with manager approval
Reports and documents for teams, customers, and leadership
Stone distributors & yards
Track customers, availability, holds, order movement, account follow-up, and branch visibility from one operating surface.
Fabricators & installation teams
Connect sales commitments with production, scheduling, job readiness, proof, service issues, and manager review.
Importers, suppliers & wholesalers
Prepare for lot, bundle, source-system, product, customer, and replenishment workflows without locking the product into one company type.
Showrooms, designers & builders
Give customer-facing teams a cleaner way to manage selections, follow-ups, open decisions, documents, and handoffs.