AI-Powered Manufacturing Intelligence

AI decision layer
for manufacturing operations.

Turn fragmented systems into faster answers, sharper decisions, and bigger operational impact.

Qualified 30-day pilot available.
Download on the App StoreGet it on Google Play
Available on web, desktop, tablet, and mobile.
Live Demo Auto-Play
Hello! I can help you analyze plant and business data together. Try asking: "What are the top sauce mix SKUs that get rejected on the sauce quality datasheet?"
Works Wherever The Work Happens

Answers on the floor, in meetings, and on the move.

DashboardGenius works on iPad, mobile, and web so teams can move from signal to follow-through without waiting to get back to a desk.

1

Voice-to-Text

Ask while walking the line or reviewing the next shift.

2

Push Notifications

Catch meaningful changes before they get buried in routine reporting.

3

Shared Visibility

Keep plant and business teams aligned on the same operating questions.

9:41
DashboardGenius
JG
JG
What were the top sauce quality failures in Q3?

Q3 2025 • Sauce Mix

Sauce Quality Rejections20 Total
Z500
14
P-101
2
X200
2
Y400
2
Insight: Z500 is a significant outlier with 14 calculation-related failures.
JG
What is causing the Z500 failures?

Q3 2025 Sauce Mix Failure Analysis

Temperature & Ingredient Calculation Patterns

Sauce Mix Failure Analysis
Setup And Context Included

We handle the setup.
Your team handles the decisions.

DG is strongest when the right sources, business context, and operating questions are lined up from the start. We help make that happen.

  • Guided onboarding and source review
  • Read-only connection setup
  • Context mapping for real operating questions
  • Ongoing support as usage deepens
1

Discovery

We align on the sources, workflows, and questions that matter most first.

2

Secure Access

We establish read-only access to the systems needed for trustworthy analysis.

3

Context Mapping

DG learns the business language, groupings, and operating context behind your questions.

4

Go Live

Your team starts asking harder questions with more confidence and less reporting drag.

Questions most teams do not have time to chase

The highest-value questions are usually the ones that combine multiple signals, carry real consequences, and show up when time is short.

Contingency Run

"Should we add a contingency run next week, or does the current schedule still cover demand?"

Move from schedule anxiety to a grounded call on demand coverage and exposure.

Schedule Risk

"Where is the real schedule risk over the next two weeks, and which items are most exposed?"

Surface the risk that matters before the floor finds it the hard way.

Warehouse Exposure

"Across our warehouses, where do we have the same SKU on hand, what is allocated, what is truly available, and where is expiry or mix risk building?"

Combine availability and warehouse-risk context in one answer instead of separate investigations.

Deep Historical Analysis

"For this product family, what was the peak year in the past decade, and what were the volume, sales value, and margin that year?"

Handle deep historical rollups that most teams would not chase during a normal day.

Used by manufacturers across:

Food & BeveragePackagingConsumer GoodsPharmaceuticalsAutomotiveIndustrial
OpsWatch

DG surfaces operational bottlenecks before they get buried in routine reporting.

OpsWatch flags meaningful shifts, explains why they surfaced, and gives teams a cleaner starting point for investigation.

Autonomous bottleneck discovery

DashboardGenius watches for downtime spikes, throughput shifts, quality drift, and other changes worth attention.

Context your team can act on

Each finding includes priority, plain-language context, and evidence so reviews start with signal instead of guesswork.

Straight into investigation

When something matters, OpsWatch hands your team the next question to ask.

Read how Inbox and Ops Watch work

Inbox

OpsWatch Findings

3 new signals
1

Downtime spike

Line 3 filler downtime climbed 18% on second shift

Micro-stops accelerated after the 2:00 PM changeover and are now the biggest throughput constraint this week.

2

Quality drift

Reject rate on family packs is trending above the monthly baseline

OpsWatch tied the shift to two SKUs and surfaced the last clean run window for comparison.

3

Suggested next step

Ask DG: What changed on Line 3 right before the downtime spike?

Launch a guided investigation with supporting evidence attached.

Built for daily operating rhythm

Use scheduled reports for planned visibility. Use OpsWatch to catch changes your team would otherwise notice too late.

Why teams move beyond dashboards

The hard part is not seeing a metric. It is running deeper analysis across disconnected systems and making the next decision with confidence.

Unify fragmented operations data

Bring plant, planning, KPI, and business context together in one decision layer.

Root-cause analysis and forecasting across the operation

Go beyond single-source BI with analysis built across connected operational systems.

Keep decisions grounded

Use the right source for the right question so answers stay defensible in real operations.

Connect the systems your team already uses

Bring together plant data, KPI models, planning trackers, and supporting files in one answer layer.

Redzone Logo
Redzone
Snowflake Logo
Snowflake
Excel Logo
Excel
Google Sheets Logo
Google Sheets
Power BI Logo
Power BI
Syspro ERP Logo
Syspro ERP
ERP Logo
Other ERPs
SharePoint Logo
SharePoint

Built to expand across your operation

Ask about ERP, plant, and adjacent business systems that should belong in your decision layer.

DashboardGenius connects only to data sources customers authorize. DashboardGenius is independent and is not affiliated with, endorsed by, or sponsored by Redzone, Snowflake, Microsoft, Google, Salesforce, Syspro, or other named platforms.

Explore the manufacturing questions teams already ask AI and search.

Browse practical guides on OEE, downtime, capacity, and manufacturing analytics written around real search intent.

Common Questions

Frequently Asked Questions

Short answers on trust, setup, source coverage, and how DG fits beside your existing tools.

Your team does. DashboardGenius does not take ownership of the operational or business data you connect.
No. DashboardGenius is designed as a secure pass-through layer for connected data. We keep only the metadata needed to maintain the connection and product experience, not a copied warehouse or ERP dataset.
No. Your business data remains yours and is not used to train public AI models.
DashboardGenius uses Gemini through paid API access to power analysis and reasoning for connected manufacturing data.
DashboardGenius supports source types such as Snowflake, Power BI, Google Sheets, files, and manufacturing-adjacent systems used for operations, planning, and KPI review.
Yes. Many teams use operational systems for plant facts, Power BI for trusted KPI views, and Sheets or files for planning, shortage, or action-tracker context.
DashboardGenius is set up with guided support so connected sources, business context, and question-routing behavior match the way your team actually works.
No. Dashboards remain useful for monitoring. DashboardGenius is for the follow-up questions, cross-source investigation, and next-step analysis that dashboards alone do not finish well.

See what DG looks like on your operation.

We'll map the decisions, data, and operating workflows that matter most to your team.