Your software knows what happened. We tell you what’s next.

Regional directors pull reports from eight systems into one spreadsheet. Purchasing managers forecast with gut feel. Owners find out a location underperformed 45 days after it happened.

Fragmented data to manual reports to delayed decisions to margin erosion

The invisible tax on operations

The spreadsheet ritual

Every Monday morning: log into 8 systems, pull reports, copy data into a master spreadsheet, format it, email it. Four hours. Every week. Information the software already has.

Blind between closes

An owner with 6 locations finds out on the 15th that Store #3 had a terrible month. 45 days after the problem started. The tools record transactions — they don't surface performance.

Gut-feel forecasting

"We order 20% extra just to be safe." Margin burned on insurance against uncertainty. ERPs show what's on the shelf. Nothing predicts what's needed next month.

Built For
Shopify
SAP
NetSuite
Salesforce
Microsoft
OPERA
Maestro
Cloudbeds
Powered By
Hermes
DeepSeek
Gemini
ChatGPT
Claude

Our Solutions

inventory_2

InventoryIQ

Stop burning margin on guesswork.

  • Demand forecasting that learns your seasonal patterns
  • Lead time intelligence — know when suppliers slip before it costs you
  • Margin-aware reorder — never over-order "just to be safe" again
monitoring

OpsPulse

Six locations shouldn’t mean six Monday mornings.

  • Aggregate Opera, Maestro, and Cloudbeds into one view
  • Weekly digest — what happened, what's trending, what needs attention
  • Anomaly alerts — revenue dips, occupancy drops, cost spikes
storefront

ACO

Your store is invisible to the shoppers that matter.

  • Full catalog audit — every product, every image, every data field
  • Visibility Score (0–100) per product with ranked priorities
  • 9-point AI discoverability check

How we work

90-minute diagnostic

We shadow your Monday morning. See the spreadsheets, the system logins, the manual exports. Map the exact minutes and dollars lost — not estimates, your numbers.

You get a report. Not a pitch.

Numbers. "You're losing X hours per week on Y. Here's what it costs." No proposal. No commitment. Just facts you can act on with or without us.

If you want it fixed, we build.

If the numbers make sense, we build the solution. If not, you still have the diagnostic. No cost. No risk. You decide what happens next.

Built for operators, not hype.

We’re not a venture-backed startup burning runway on hype. We build capital-efficient, customer-funded solutions for qualified buyers in validated industries. Built by operators who’ve managed 6-location portfolios and $12M+ supply chains.

Get a diagnostic

Insights from the front line

Why Do AI Shopping Assistants Ignore Your Best-Reviewed Products?

Why Do AI Shopping Assistants Ignore Your Best-Reviewed Products?

AI shopping assistants parse raw HTML, not JavaScript widgets. Every review collected by Loox, Yotpo, and Judge.me is invisible to ChatGPT, Perplexity, and Claude. Here is what that invisibility costs DTC brands.

Why Do Medical Suppliers Stock Out of the Same SKUs Every Quarter?

Why Do Medical Suppliers Stock Out of the Same SKUs Every Quarter?

Medical supply distributors lose $18K to $42K a year in expedited freight from quarterly stockouts that ERP moving averages cannot predict. The forecasting engine was built for retail demand patterns: frequent, small transactions. Hospital purchasing is the opposite. Here is why the math is wrong and what changes when demand is classified by pattern instead of averaged by history.

Why Do Multi-Location Suppliers Buy Inventory They Already Own?

Why Do Multi-Location Suppliers Buy Inventory They Already Own?

Mid-market distributors with multiple locations carry 18 to 25 percent excess inventory because ERPs calculate safety stock per warehouse, not across locations. The multi-warehouse feature is a reporting view, not a coordination tool. Here is what pooled visibility actually saves.

Does this replace our existing ERP or PMS?+
No. InventoryIQ and OpsPulse sit on top of the systems already running. They read data from your ERP, PMS, or spreadsheets — they don't replace them. No rip-and-replace. No new platform to learn. But if we see that our system works better, we will offer replacement — but it's up to the business owner in the end.
How is this different from Epicor forecasting or Opera reporting?+
ERPs track what's on the shelf. PMSs show one property at a time. Neither predicts what's next. Neither correlates across locations. We build the forward-looking intelligence their current tools don't provide.
Can OpsPulse aggregate Opera, Maestro, and Cloudbeds on one screen?+
Yes. That's the core value. Hotel management companies often run mixed PMS fleets. OpsPulse normalizes data across all of them into one dashboard. One RevPAR. One occupancy rate. One view.
What does “analyze first, then build” mean?+
We study how the business actually runs before proposing anything. We find the bottlenecks, the spreadsheet rituals, the gaps their tools miss. Then deliver: integrate with what works, build what’s missing. No one-size-fits-all.