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 Shoppers Ignore Your Bundles and Quote Full Price?

Why Do AI Shoppers Ignore Your Bundles and Quote Full Price?

AI shopping assistants ignore bundles and quote full price because the bundle discount never makes it into structured data. Shopify's schema marks each component SKU at its own full price, so the machine reads three items instead of one discounted offer. Here is what that blindness costs DTC brands.

Why Do Distributors Leave Volume Rebates Unclaimed Every Quarter?

Why Do Distributors Leave Volume Rebates Unclaimed Every Quarter?

Distributors leave volume rebates unclaimed every quarter because the ERP records each purchase order as its own transaction and never tracks cumulative spend against the negotiated tier. A $15 million distributor with $8 million in contracted spend pays $160,000 to $400,000 a year above its own negotiated rates. Here is what cumulative spend-to-tier visibility recovers.

Why Do Hotel Groups Pay Retail Prices for Wholesale Volume?

Why Do Hotel Groups Pay Retail Prices for Wholesale Volume?

Hotel groups pay retail prices for wholesale volume because every property buys alone and nothing connects the purchases. A 10-property group overpays $48K-$112K a year on recurring supplies while volume discounts never materialize. Here is what cross-property spend visibility recovers.

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.