Client-scoped by design
Keep each client’s catalog, orders, forecasts, and operational context isolated while your team works from a consolidated operator view.
Client workspaces and client-pinned MCP credentials
Inventory intelligence for modern 3PLs
The tech-enabled 3PL
wins the next decade.
Give every client forecasting, replenishment intelligence, and live inventory visibility under your brand, without adding more manual planning to your operation.
Client-scoped workspaces · branded portals · MCP access
Connect the commerce and accounting tools you already use
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Built for client retention
A client experience
worth staying for
Help clients make better inventory decisions while your team delivers the operational visibility and service that commodity warehouses cannot.
1 view
Every client operation
See inventory, orders, purchasing, and risk without switching systems.
Live
Client inventory visibility
Give clients the answers they need through a portal under your brand.
AI
Demand and replenishment
Move from fulfillment history to a reviewable inventory plan.
Run economics for modern 3PLs
Turn every rate card into a smarter run plan.
Spark connects vendor price books to live demand so your team can choose run size, cadence, and purchasing leverage with the full economic picture in view.
House or client-specific vendor price books
Run size, cadence, carrying cost, and capital tradeoffs
Compatible client demand surfaced for pooling
RUN ECONOMICS / NORTHSTAR GOODS
ILLUSTRATIVE MODELSTEP 03
Balance unit cost, cadence, and capital
Compare explainable run-size scenarios instead of optimizing one number while inventory, carrying cost, or cash suffers somewhere else.
Northstar Goods · Insulated shipper
12-MONTH RUN ECONOMICS
Modeled from price book + demand LIVE MODEL
Profit vs run size
Price breaks + demand + capital
Ordering vs carrying
Find the economic balance point
Inventory runway
Demand burn-down + planned replenishment
6 runs / year9 week cadence no modeled gap
Built around the client relationship
Operate every client separately, without running separate systems
Spark connects client-scoped data, shared operator workflows, price-book economics, and the approvals that keep a 3PL in control.
Plan against real economics
Compare vendor breaks, setup costs, carrying cost, run cadence, and available capital before recommending a production or replenishment run.
Price-book import and run-planning tools
Give clients an answer, not a spreadsheet
Share current inventory, risk, and reviewed next actions through a branded operating experience while your team retains control.
Scoped visibility with governed operator actions
Decision trace
A client request becomes an operator-ready plan
01 / CLIENT SIGNAL
Demand + stock + open supply
Scoped to the selected client
02 / ECONOMIC MODEL
Price breaks + carrying cost
Compared across run sizes
03 / OPERATOR DECISION
Review recommended cadence
Human-controlled next action
The 3PL operating layer
Add planning services without turning every client into a custom project
Spark keeps the client boundary, economic model, and operator approval path connected, so a 3PL can deliver a repeatable planning service across very different customer operations.
Client-scoped context
Separate catalogs, orders, inventory, suppliers, forecasts, and credentials by client while operators retain a consolidated working view.
Tenant boundary stays visible
Price books become decisions
Model quantity breaks, setup and ordering costs, capital cost, annual demand, and run cadence before recommending the next production or replenishment run.
Economics attached to the plan
Operators approve the action
Recommendations arrive with the supporting demand and supply context, then wait for review before purchasing or client-facing action moves forward.
Governed, not autonomous
A service clients can see
Give clients a clearer view of inventory risk, run choices, and next actions without handing them the internal spreadsheet used to build the answer.
From report to operating service
From fulfillment reporting to inventory planning
The difference is not another dashboard. It is whether demand, run economics, and the next approved action remain connected.
| Decision layer | Typical reporting workflow | Spark 3PL workflow |
|---|---|---|
| Client data | Exports assembled for each request | Persistent client-scoped operating context |
| Vendor pricing | Price breaks checked manually | Price books modeled against demand and capital |
| Run recommendation | One quantity in a spreadsheet | Alternatives compared by profit, cash, and runway |
| Control | Decision lives in email or a call | Evidence, review, and approval stay together |
Integrations
Connects to everything you already use
Shopify, Amazon, QuickBooks, Stripe, and dozens more. One-click setup, real-time sync, and a single source of truth across your entire stack.
See All Integrations
3PL platform FAQ
Questions before you put Spark in front of a client
The practical details about client separation, integrations, onboarding, and fitting Spark into your existing warehouse stack.
Is Spark a WMS or a client-facing inventory platform?
It is both an inventory operations platform and a client-facing planning layer. Your team can manage stock, orders, purchasing, and warehouse workflows while clients get forecasting, visibility, and a self-service portal under your brand.
Can each 3PL client have a separate workspace and view?
Yes. Spark keeps client inventory and operating context scoped while giving your team a consolidated way to work. Client-facing access can be branded so the experience reinforces your 3PL, not another software vendor.
Can clients connect Shopify, Amazon, and other channels?
Yes. Spark is designed for multichannel operations. Client stores, order history, inventory, and supply data can feed the same planning workflow instead of living in separate spreadsheets and portals.
How do price books and run planning work for a 3PL?
Spark can keep shared house books or client-specific vendor price books, including per-SKU rates, specification matrices, component costs, quantity breaks, and setup fees. Run planning then compares run size, cadence, carrying cost, and capital tradeoffs, and can surface compatible demand that may be pooled across clients for operator review.
How does onboarding a new client work?
Use Sparki in app or your own AI assistant through Spark MCP. The agent checks what already exists, brings in the missing catalog and history, validates the data, presents the import for approval, and verifies readiness before the client goes live.
Do we need to replace our entire warehouse stack?
Not necessarily. Spark can become the inventory intelligence, purchasing, and client-experience layer around the systems you already use. The team can map the right rollout during a demo based on your warehouse and client structure.
Make your 3PL the inventory partner clients will not outgrow
See how client workspaces, branded visibility, forecasting, and replenishment fit around the operation you already run.
A focused 30-minute walkthrough for your client and warehouse model.