AI-native operations

Your store, stock and buying, with AI built into the work.

AI helps with shopping, administration, product discovery and routine operations. Your team approves changes, sets agent policies and reviews the inbox. Commerce keeps checkout, payments and orders on a reliable non-AI transactional core.

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Inbox · this morning Example

Done
Drafted PO-00412 for 200 × Cotton kurta from Anand Textiles (₹52,000)
Done
Matched invoice INV-7781 to its PO and goods received
Done
Added “Kitchen › Mugs” to “Stoneware mug, 350 ml”
Needs you
Approve “Packaging restock” (₹1,80,000): above the ₹50,000 auto-approve ceiling
Needs you
Reorder “Brass diya” at 40, 120 at a time (sales doubled this month)

SaaS, SaaS with AI, or AI-native

Adding a chatbot isn't the same as software that does the work.

Makeships embeds AI in everyday workflows, from finding products to drafting changes and handling routine operations. People approve admin changes, set agent limits and review results.

	Traditional SaaS	SaaS with AI features	Makeships, AI-native
Who does the routine work	Your team, screen by screen	Your team, with a copilot suggesting text	AI across key workflows, with human approval and policy limits
What you open first	Lists of records to work through	The same lists, plus a chat box	An inbox: what agents did, and what needs you
Money and stock decisions	Manual, or rigid rules	Suggestions a person still has to carry out	Signed approval for Commerce admin changes; policy limits for agents
When the AI gets it wrong	No AI, so no AI mistakes	You find out later, and fix it by hand	Inbox review and undo for supported actions, subject to current state
Why something happened	Audit log of who clicked what	Often a black box	Every action with its reasoning and evidence
Store, stock and buying together	Separate tools joined by exports	Separate tools, each with its own AI	Sales update stock; low stock becomes a purchase request
Your data and models	In the vendor's cloud	Sent to the vendor's AI, resold as credits	In your cloud, on your own model keys, billed at cost
Bring your own agents	Limited API	The vendor's assistant only	MCP servers and an open API to the same actions

✓ strength · ~ depends · ✕ weakness

Where AI helps

In each app, today.

Commerce

AI-native commerce operations.

The shopping assistant supports product search, comparisons, recommendations, cart actions and order lookup.
The admin assistant answers operational questions and drafts changes to products, pages, orders, coupons and more, with signed human approval.
AI Brain powers semantic search, ranking, recommendations, product enrichment and classification, with embeddings when configured.
Operational agents handle abandoned-cart recovery, low-stock actions and review moderation, with policy limits, inbox review and undo support.

A reliable non-AI transactional core handles checkout, payments and orders. Your team stays in charge of the store.

Explore Commerce →

Inventory

AI-native inventory control.

The reorder agent drafts a purchase order when an item hits its reorder point, on its own under your limit, and asks above it.
Reorder levels are suggested from actual sales and lead times, so they keep up as demand changes.
Dead stock and cycle-count gaps are flagged with the numbers behind them.
Say “received 50 blue widgets at the main warehouse” and it drafts the movement for you to approve.

For warehouse and operations teams: keep stock accurate, review replenishment proposals and trace movements in the ledger.

Explore Inventory →

Procurement

AI-native procurement.

The approval agent approves requisitions within your policy ceiling and categories, and routes the rest to the right approver with the reason.
Every invoice is matched against its purchase order and what was received, and mismatches are flagged.
Describe what you need in plain English and it writes the draft requisition.
Unusual spend with a vendor is flagged, and outreach emails are drafted for each RFQ.

For purchasing and finance teams: keep requests moving through supplier sourcing, budget controls, approvals and invoice checks.

Explore Procurement →

Why together matters

Agents are only as good as what they can see.

A reorder agent in a separate inventory tool can't see this week's sales. Because the three apps share one platform, each agent works from the whole picture.

01 A sale is paid

Stock is held at checkout and taken out when paid.
02 Stock hits its reorder point

One purchase request goes to Procurement, never two.
03 The request is within policy

The approval agent approves it; above policy, it asks.
04 The invoice arrives

It's matched to the PO and delivery; once approved, its cost updates the item.

You stay in charge

Human approval, policy limits and review.

Set policies for operational agents and review their work in the inbox. Commerce admin changes require signed human approval.

Limits you set

Auto-reorder and auto-approve ceilings, allowed categories, and hard limits in the deployment that no setting can exceed.

Human approval

Commerce admin changes require signed human approval. Operational agents follow policy limits, with inbox review for actions that need attention.

Undo support

Review agent actions in the inbox and undo supported changes. Undo can be refused when later activity depends on a change.

A full record

Every action is logged with who or what did it, why, what it changed, and what the AI call cost.

It all runs in your own cloud, on your own model keys. Why that matters for AI →

Coming next

What we're building now

One operator across the suite that follows a product from sale to reorder to receiving to cost.
Goals instead of rules, like “14 days of cover on top sellers”, with agents planning towards them.
Order exceptions in Commerce: failed payments, delayed shipments and cash-on-delivery risk.

To be fair

When SaaS may suit you better

You have a handful of products and orders, and nothing routine enough to hand to an agent.
You'd rather not set limits or review an inbox at all.
You need something running in the next hour with no setup.

Questions

About AI-native

What does AI-native mean here?

AI is embedded across key workflows. In Commerce, that means shopping assistance, admin assistance, AI Brain and operational agents, with signed human approval for admin changes and policy limits for agents. The foundation is AI-native commerce with a reliable non-AI transactional core.

Does AI run the entire store autonomously?

No. Your team runs the store. AI supports shopping, product discovery, administration and specific operational tasks. Checkout, payments and order processing use the non-AI transactional core, while admin changes require signed human approval.

Will an agent spend money without asking?

Only within the limits you set. Auto-reorder and auto-approve are off until you turn them on, have a ceiling and optional categories, and sit under a hard limit in the deployment itself. Anything above goes to a person.

What happens when an agent is wrong?

Review the action in the inbox and undo it where supported. Undo can reverse changes such as a draft PO or reorder levels, but may be refused if later activity depends on the change, such as a PO already being approved.

Which AI models does it use?

Yours. The apps call your provider with your own keys, so you choose the model and the usage bill comes straight from the provider, with no markup from us.

Can I use my own agents?

Yes. Inventory and Procurement include MCP servers with the same actions the built-in agents use, including reading the inbox and approving or undoing actions, as a named team member with that person’s permissions.

See a morning's inbox for a store like yours.

We'll show what the agents would handle, where they'd ask, and the limits we'd start you on.

Book a demo See the Operations Suite