Dispatches
Industries · CPG, Beverage & Food Mfg

One governed platform across every brand, plant, and stack

CPG and beverage manufacturers run executive reporting, procurement, plant analytics, and commercial workflows on Athena—across acquired systems, in your cloud.

Hundreds of selling briefs. A digital twin of a production line. One governed platform.

Line 3 — LiveLast hourStation 4All sensorsFlow ratestableViscosityin specTemplowSt1St2St3St4St5St6Station 4 viscosity flagged
Fig. 01Digital twin of a California food plants, built by the customer from live sensor data
Runs in your VPCPlant networks stay isolatedOne permission modelPartner access included
What customers say
“Gave Athena the spreadsheet, explained which column I was trying to figure out, and then ten secs it told me... exactly how the calculation was based on the other data.”
Analyst · A global manufacturer
“He wrote the entire stuff. By itself. And I was there, and I was thinking, alright. If I had to write all this stuff, I mean, I would've spent days, days, days.”
Manufacturing analyst · A global manufacturer
“I send that to the programmer and he said, alright. I read your file. I copied the section of the code because he has the right interface, and it works. Wow. Just like magic.”
Manufacturing analyst · A global manufacturer
“One workspace. All different, let's say, avatars of their output data. Right? Suddenly, it's dashboard. Excel is here. PowerPoint is when it's all together. It's very impressive.”
Global Sustainability lead · A global manufacturer
“It was PowerPoint... there was no kind of distinction between the two. So that was killer. And I literally had a meeting on it today, and people said how great it was.”
Sales analyst · A global CPG provider
“This combination is a winning combination for us, and this is where we see maximum traction, which is how do you apply all the intelligence that you have within [our data platform] and not worry about how you render that output.”
Analytics lead · A global CPG provider
“A lot of people are telling us that, oh, I sold in this package because of this info... I secured this distribution because of the selling assistance help.”
Sales enablement lead · A global CPG provider
“It's like I'm running analysis that would have taken us, like, maybe a week, two. And thirty, forty minutes.”
Sales intelligence analyst · A global CPG provider
“It's good to understand the capability of the platform. That how far, and how quickly you guys can get these things going [...] that has been impressive overall.”
VP-level AI leader · A Fortune 500 retailer
“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”
Analytics lead · A Fortune 500 retailer

Verbatim from customer calls. Customers anonymized.

Challenges

What CPG, Beverage & Food Mfg has to get right

01

Many brands, many systems, one company.

Acquisitions leave each brand with its own data platforms and tools. Athena sits across all of them with one permission model and one set of definitions.

02

Plant data has to stay in the plant.

Sensor data and control logic live on isolated networks. Athena can run inside them, read your historians, and write back only through approved actions.

03

Partners should see their data, and only theirs.

Distributors and key accounts need their own numbers without shared logins. Partner-facing applications show each partner only its own rows.

Use cases by team

What CPG, Beverage & Food Mfg teams run on Athena

Commercial & salesSales and revenue teams get account insight in the tools they already use.

Daily account briefs

Each rep gets a short brief on their accounts: what moved, what to raise, and where to act, generated from governed data with every chart cited.

Revenue management agent

An agent answers pricing, promotion, and mix questions from the same definitions as your reports, tested against your own question set before rollout.

Key-account dashboards from spreadsheets

Account managers upload the spreadsheets they already maintain and get a consistent dashboard and a combined view.

Partner-facing applications

Distributors and partners get a secure mobile view where each partner sees only its own data.

01Governed dataAccount and salesmetrics02Athena buildsbriefsOne per rep, everymorning03Charts citedEvery number linkedto source04DeliveredEmail, chat, ormobileEvery rep starts the day with a brief on their own accounts
Fig. 02Daily account briefs are generated from governed data for each rep.
Plant & operationsOperators and engineers ask the plant questions in plain language.

Plain-language sensor queries

Ask about any line, sensor, or batch and get the reading or trend from your historians, with the query shown.

Line and quality investigations

Agents correlate sensor, quality, and maintenance data and summarize likely causes for the engineer.

Live plant dashboards

Build dashboards on live telemetry for the teams on the floor and publish them as applications.

SESSIONWhich line is out of spec right now?Line 3 viscosity is above the upperlimit for the last 20 minutes. Here isthe trend and the batch in progress.Plant historianLive readingsLine dashboardLiveAthena · plant historian · live
Fig. 03Operators ask the plant a question and get the reading.
Procurement & legalContracts, signatures, and supplier questions move without chasing.

Signature routing

Documents routed to every signer in order, with status visible to the owner at every step.

Contract data extraction

Values and terms extracted from contract files into your data platform, with a citation to the page for each value.

Executive contract summary

A scheduled summary of contract status and exposure in your template.

01Document readyOwner starts routing02Athena routesEach signer in order03Status visibleWho signed, who isnext04CompleteFiled with the audittrailSignatures collected without chasing
Fig. 04Signature routing keeps every signer and the owner informed.
Data & analyticsAnalytics teams consolidate reporting and let business users self-serve.

Fast dashboards at scale

Large datasets served to thousands of viewers in under a second, without scheduled refresh windows.

Consolidated reporting

Reports rebuilt on governed semantic models, one at a time, on top of the data platforms you already run.

Analysts working with agents

Analysts co-edit spreadsheets and documents with agents inside your environment, most often turning analysis into presentations.

01Import existing reportSame logic and layout02Governed modelMetrics defined once03PublishViewer access by directory groupReports rebuilt one at a time on governed models
Fig. 05Reporting consolidated on governed semantic models.
R&D & qualityResearch teams analyze formulation and production data on the same governed platform.

Yield analysis

An agent gathers pilot and production data and runs the analysis a scientist would, with every step recorded.

Formulation and texture analysis

Lab and pilot-line data analyzed with the same models and permissions as plant data.

Marketing & brandBrand teams measure what works and find where to grow.

Sponsorship and campaign analysis

Contract terms, sales results, and placement data analyzed together to see what each investment returned.

White-space identification

Sales, distribution, and market data combined to show regions and channels where you are under-represented.

Related story

From ten thousand sensor tags to a plain-language question

10,000 tagsNew line going liveFlow, viscosity, temperature from every sensorBeforeOpen historianQuery one tagTrace dependenciesAfternoon to findPlant engineer's afternoon when stationThe old way: query tags one at a timeSESSIONWhy did station 4 flag?Viscosity went amber at. Upstreamtemp sensor dropped to below thresholdat , below the threshold.Station 4 viscositylast hourTemp sensor · historiancitedAthena · Plant historian via OPC/MQTTAsk in plain language; get the upstream causeLine 3 — LiveLast hourStation 4All sensorsFlow ratestableViscosityin specTemplowSt1St2St3St4St5St6Station 4 viscosity flaggedDigital twin dashboard with live telemetryAthena wants toAdjust heater setpoint to restore tempCurrent: below thresholdProposed: restore to thresholdAffects: Station 4 viscosityWAITING FOR A PERSONControls engineer approves; setpoint adjustedApproved by Controls Engineer · 09:18 · logged to historianAgent proposes action; engineer approvesBuilt by the customerathenaintel.com
Fig. 06The story in 23 seconds, from the old way to “Built by the customer.”
  1. Before

    A new production line going live. Ten thousand tags from flow meters, viscosity sensors, temperature probes. Plant engineers query the historian in its own query language, one tag at a time. When something goes amber, finding the cause takes an afternoon tracing dependencies by hand.

  2. What we did

    Connected the plant historian via OPC/MQTT. Built a digital twin dashboard with live telemetry. The agent reads all ten thousand tags, understands station dependencies, and answers in plain language. Ask why station four flagged; get the upstream temperature dip at 09:14 with the sensor ID and the threshold it crossed.

  3. After

    Analysis project going live on the new line. Plant engineers ask the line a question and get the answer with the sensor reading cited. Controls engineer and agent co-edit PLC ladder logic. A global manufacturer built the twin dashboard themselves.

What to plan for

The agent reads and reasons. It does not control the line. It writes back only through typed, approved actions. When it flags a threshold, a human decides whether to adjust. Deploy on-prem or air-gapped; models run in-boundary.

Read the full story →

Example workflow

Digital twin of a food plants, from sensor to dashboard

SURFACES INWHAT COMES INTHE PLATFORMWHAT GOES OUTDELIVERED BACKMobile · voiceText (SMS)EmailSlack · TeamsChromeOffice add-inMeeting botMeetingsWordPowerPointSheetsFiles · PDFsWorkflows (AOPs)AppsLibrarySessionsSpacesStudiosMeetingsLakehouseSemantic modelsDatabaseWordPowerPointSheetsDashboardsData · APIsApps · portalsWebMobile · voiceText (SMS)EmailSlack · TeamsChromeOffice add-inMeeting botWeb1Data2Agents3Dashboards41 INPlant engineer opens thetwin dashboard from abookmark, already loggedin2 RUNLive telemetry: flowmeters, viscosity sensors,temperature from tenthousand tags3 BUILDAgent reads historian viaconnector, queries lasthour, detects one stationamber4 BUILDDashboard updates live;station 4 highlighted,viscosity reading flagged
Fig. 07The route on the system map: Web → Data → Agents → Dashboards → Meetings. Connectors: Plant historians · OPC/MQTT · Databricks · Grafana
Integrations

The systems CPG, Beverage & Food Mfg already runs

CPG and food manufacturers run many stacks across brands and plants. Athena sits on top of them with one permission model and one set of definitions.

Data platforms

DatabricksSnowflakeSAPIceberg

Plant & operations

Plant historiansOPC and MQTTMESLIMS

Collaboration

SharePointTeamsOutlookGitHub

Commercial

CRMSyndicated dataExcelPartner portals
Security and compliance

What your security review will ask

CPG and beverage companies need air-gapped plant deployments, multi-tenant governance, and audited access to production data. Athena runs in your VPC, on-prem, or air-gapped.

Runs in your VPC or on-prem

Deploy Athena in your own cloud or on-prem for plant networks. Models run in-boundary. No data leaves the environment.

Air-gapped plant deployment

Plant sensor data, PLC logic, and line telemetry stay in an isolated network. Athena reads historians via connector, reasons inside, writes back only through approved actions.

Multi-cloud, multi-GitHub governance

One permission model spanning multiple data platform workspaces, code organizations, and brands. Users inherit permissions from every connected system.

SOC 2 Type II

Athena is SOC 2 Type II certified. Every query, every save, every access logged twice: once by the platform, once by the source system.

Row-level security for wholesalers and distributors

Applications with row-level security. Each partner sees only its accounts, its rows, its data. Included in Athena services, no shared login.

Just-in-time access for vendor support

Zero standing vendor credentials. Agents monitor and remediate inside your cluster; humans request time-bounded access only when the agent cannot, approved by you, expiring automatically.

For every stakeholder

Answers for everyone who signs off

Executive sponsor

How do we get account insight to every rep?

Generate daily account briefs and dashboards from governed data and deliver them by email, chat, or mobile, with every number cited.

IT and security

We run several data platforms from acquisitions. Can you connect them all?

Yes. One permission model and one set of definitions across all of them, with permissions inherited from each source.

Plant operations

Can the plant network stay isolated?

Yes. Deploy on-premises or air-gapped. Athena reads historians inside the network and writes back only through approved actions.

Finance or procurement

Do distributors and partners need their own licenses?

No. Partner access to published applications is included in Athena services.

FAQ
What can AI agents do for a CPG or food manufacturer?

They connect the work across brands, plants, and commercial teams: preparing account briefs for sales, answering plant questions from sensor data, tracking contracts, and producing recurring reports. People review and decide.

We run many systems across brands. Is that a problem?

No. That is where agents help most. They work across all of your systems with one permission model, so teams stop re-keying data between them.

Can agents work in plants with isolated networks?

Yes. Athena can run inside your network. Agents read and analyze plant data but only write back through actions you approve.

Can distributors and partners benefit?

Yes. Partner-facing applications show each partner only its own information, with access included in Athena services.

Where should we start?

With one commercial or operational report that takes a team hours every week. Automate it end to end, then extend the same approach to the next team.

One platform underneath

AGS · Athena Governance System

Records every change by a person or an agent, rolls back one contributor's edits without losing anyone else's, and keeps the model, instructions, and sources behind each agent action.

Palladium · deployment

How the platform is deployed: Athena's managed cloud, your cloud on AWS, GCP, or Azure, on-prem, air-gapped, or GovCloud. Same platform in every option.

How it fits together

Build, Work, and Data on top; 150+ connectors and every surface in and out; one map of the whole platform.

Related

Ask the line a question. Get the sensor reading.

Bring one plant question and one commercial report. We will connect the data and show both working on one platform.

Runs in your VPCPlant networks stay isolatedOne permission modelPartner access included