AI layer for manufacturing 2026

Syncrra Predict.

It gets to work before you ask.
And explains itself when you do.

AI layer for manufacturing

The problem

Most of the week goes on finding the answer.

Not on acting on it. The data exists; getting a straight answer out is the slow part.

Waiting for reportsA simple question about stock or spend turns into a request, then a wait.

Typing the same data againFigures move from ERP to spreadsheet to slide by hand, and drift on the way.

Numbers nobody trustsTwo reports, two answers. The meeting goes on deciding which one is right.

AI layer for manufacturing

What Predict is

One layer that sits on top of your existing systems.

Nothing migrated. No system replaced, whether it’s an ERP, spreadsheets or a database.

Your systemsERP, spreadsheets or a database

Your plantsEvery site, in one model

AnswersTo anyone who can type a question

Agent workDrafts for a person to approve:
enquiries, reports, orders

Syncrra
Predict One view of your data,
with answers and agents

Unlimited users, plants, warehouses and machines. Your team keeps working where it already works.

AI layer for manufacturing

How it works

The numbers are calculated by code, not guessed by AI.

Askin plain words

Decidea question, or a task?

Look it upcode computes the numbers

Let an agent workit does the legwork

Deliveran answer or a result, sourced

Which POs for Plant 2 are late? Get quotes for 80 MT this month

Four steps, one path. The model works out what you need; code computes every figure; agents do the legwork.

AI layer for manufacturing

Five agents

Five agents. Nothing is committed without a person.

AgentDoes on its ownNeeds a personStatus

RFQ agentProcurement agent

Sends enquiries to your approved vendors, chases replies, lines up the quotesThe vendor panel, and the final choice Live

Negotiation agentProcurement agent

Runs counter-offer rounds inside your mandateSetting the mandate, the award, and anything outside it Live

PO agentProcurement agent

Drafts the order, pulls the codes, splits it by plantApproving and issuing the order Live

Report agentInsight agent

Writes scheduled reports and sends them on timeThe brief: what goes in, and who gets it Live

Dashboard agentInsight agent

Builds the view you asked for and keeps it liveNothing to approve. It only reads Live

Agents work on their own inside limits you set. They only contact vendors you’ve approved. Orders, awards and anything outside the mandate need a person’s sign-off, and every action is logged. Example screens in this deck are concept views.

AI layer for manufacturing

The buying story

80 MT for two plants, from enquiry to draft order.

Step 1RFQ agent

Five vendors askedEach quote, as a % above target

Vendor A2.4% above

Vendor B3.8% above

Vendor C5.1% above

Vendor D, after a chase6.0% above

Vendor ENo reply

Three replied inside 48 hours, one after a chase. One table, one basis.

Step 2Negotiation agent

Gap cut to 1.0%Vendor A’s offer, as a % above target

Opening2.4% above

Round 11.8% above

Round 21.0% above

Vendor ABest and final

Vendor BTo buyer

Vendor B asked to change terms, outside the mandate, so it went to the buyer.

Step 3PO agent

Draft order, readyAgreed with Vendor A

VendorVendor A

Plant 140 MT

Plant 240 MT

Price1.0% above target

CodesPulled

Awaiting a person’s approval

It stays a draft until someone in your approval chain signs it off.

Concept viewEvery enquiry, round and order links back to the requirement that started it.

AI layer for manufacturing

Insight agents

Reports and dashboards, on schedule or on request.

Report agentWrites it, sends it, sources every line

Weekly stock and spend reportConcept view

MTWTFSSEvery Monday, 7:00 AM

Section	Ties to
Cover, days by item	Stock report
Spend, open PO value	Purchase register
Quality, rejections	Lab log
Suppliers, on-time delivery	Vendor scorecard
Exceptions	3 flagged

Dashboard agentBuilds the view you ask for, keeps it live

OEE by line, this monthConcept view

“OEE by line. Flag anything under 70%.”

Line 1

82%

Line 2Under 70%

61%

Line 3

77%

Downtime causes, ranked

Changeovers31 h

Material waits22 h

Breakdowns14 h

Concept viewFigures come from the governed metric catalogue, the same as any other answer.

AI layer for manufacturing

Forecasts

It sees it coming. You act before it lands.

Predict looks ahead on your own data and flags the risk before it reaches the bottom line.

Demand and consumptionNext month’s need by item and plant, from your own history

Stock-out riskDays of cover projected forward, with the date you fall below safety

Supplier delivery riskWhich open POs are likely to land late, from each vendor’s record

Price and spend outlookWhere material prices and open PO spend are heading

Outlook, Plant 2Concept view

Stock-out risk

RM-4471 falls below safety stock on 12 NovThe open PO lands six days later

Delivery risk

PO 2291, Vendor B, likely 4 days lateLate on 3 of its last 5 orders

Price outlook

Coil RM-2208 likely to firm about 3% next monthFrom the last 12 months of purchases

Traced to: stock ledger, consumption history, open purchase orders

Concept viewPredict flags and suggests. A person decides what happens next.

AI layer for manufacturing

Data safety and control

Your data stays yours. Every action is on the record.

Read-only on your systemsPredict only reads from your ERP, spreadsheets and databases. What agents prepare comes back as a draft for a person to approve.

Your data stays with youIt works where your data already lives. Nothing is migrated, and people see only what their role allows.

Your own AI models, if you preferPrefer to use your own? Bring your own models. It also lowers the AI part of your subscription.

The approvals you already runOrders and awards go through your existing approval chain.

Every action loggedEach proposal, change and approval is recorded, the evidence an audit asks for.

Limits you setAgents work inside mandates and approved vendor lists, and escalate anything outside.

AI layer for manufacturing

Systems we connect to

Works with whatever holds your data.

SAP, Odoo, Tally, Excel and your custom systems, each mapped to the same model.

Excel and databases

Your custom ERP

One canonical
modelEvery system, mapped once

Built on the Adapter SDK, so the same questions work whichever system holds your data, including ours.

AI layer for manufacturing

Proof

What it has done for a manufacturer like you.

Manufacturer of roofing sheets, decking sheets and purlins Chakan, Pune, since 2012

5 → 2 daysRFQ cycle time, from enquiry to a comparison ready to decide

65%Reduction in manual effort across approvals and reporting

9 hoursSaved each week on stock and spend reporting

“

We used to spend most of a week chasing quotes and stitching reports together. Now the comparison is ready when we sit down to decide.

Procurement team, Classic Roof India Pvt. Ltd.

AI layer for manufacturing

What changes for you

Less time finding the answer. More time acting on it.

Questions answered, not escalatedYour team stops waiting on reports and asks directly, with the source attached.

The busywork runs itselfEnquiries, negotiation rounds and draft reports happen without anyone opening a dozen tabs.

Numbers you can defendEvery figure reconciles to the report your team already trusts.

One layer, not a rebuildWorks with whatever already holds your data, for every user and plant you have.

AI layer for manufacturing

Getting started

Three weeks to answers on your own data.

Your team spends hours, not weeks.

Week 1

We connect and mapRead access to one plant and one category, mapped to the canonical model

Week 2

Your team confirmsFigures checked against the reports your team already trusts

Week 3

You ask your questionsPlain-language answers on your own data, with the source on each

Nothing migrated. Nothing changed in your existing system.You keep the mapping and the findings either way.

AI layer for manufacturing

Next step

Let’s start with one plant and one category.

What we need from you

Read-only access to one plant’s data

One category to start with, and its buyer

A few hours a week to check the figures

The questions you most want answered

Emailsales@syncrra.ai

Phone+1 (862) 348-9095 (US)

Websitesyncrra.ai

Address1290 Bay Dale Dr, Arnold, MD 21012, USA