Fewer hours.Better numbers.Fewer surprises.

Intrepid is operations consulting with the tools built in. We find the work that is eating your week, automate what should be automated, put AI where it earns its keep, and leave you with reporting you can trust.

40h → 5h
per week on delivery scheduling
Gut → formula
every SKU reordered on velocity, seasonality, lead time, and growth
+44%
attributed revenue from in-store leads that used to go dark
Days → 5 min
to allocate warehouse stock across large back orders

Where we work

Operations consulting

Fractional COO-level judgment: process audits, platform and vendor decisions, plans the team can execute.

AI integration

AI inside the tools your team already uses, with brand rules and approvals built in.

Reporting & analytics

One source of truth across storefront, ads, helpdesk, and accounting, built for decisions.

Automation & internal tools

Custom tools that replace the spreadsheet and the inbox thread, connected to your systems and owned by you.

Before and after

Real engagements, described by the problem rather than the tool. Names available on request.

SchedulingMulti-location retail
Before

One person spending a full week, every week, hand-building delivery routes across stores and a fulfillment backend that didn't talk to the calendar.

After

Scheduling runs off the calendar and the order system directly. The same job takes about five hours a week, and the rest of that person's time went back to customers.

In-store salesMulti-location retail
Before

A customer spent an hour in the store with an associate, went home to think it over, and that was the end of the record. No follow-up, no way to know whether they bought elsewhere, and no credit to the store when they came back online.

After

Associates capture the lead and the cart on the floor, and automation takes it from there: the customer gets their build sent to them, follow-ups run on a schedule, and every purchase is attributed back to the visit. The in-store abandoned cart now converts 40% of the time and accounts for 44% of attributed revenue that was previously invisible.

PurchasingSpecialty e-commerce
Before

Reordering ran on intuition. Twice a week a buyer pulled a slow ERP export into a spreadsheet and decided what to buy from a snapshot of current stock and whatever they remembered about last year. No lead times in the math, no seasonality, no growth trend, and no way to see every SKU at once. Good buyers got it mostly right and still ended up with stockouts on the fast movers and cash tied up in the slow ones.

After

One formula covers the whole catalog. For every SKU it combines sales velocity, seasonal curve, year-over-year growth, supplier lead time, open purchase orders, and the days of cover the business wants, then flags what needs ordering and how much. Pre-order spikes and new SKUs are handled instead of skewing the numbers. The buyer still approves every PO, but they review a ranked list built from all the data instead of guessing from a slice of it.

WarehouseSpecialty e-commerce
Before

When a large shipment landed against a backlog of orders, someone sat with the ERP and a spreadsheet deciding which customers got stock. On a big back order that was an entire day, sometimes more, and the rules lived in one person's head.

After

An allocation tool applies the business's own priority rules across every open order at once and proposes the split. Staff review and confirm. The same back order is allocated in about five minutes, and the logic is written down where the whole team can see it.

ReturnsSpecialty e-commerce
Before

Returns negotiated over email, re-keyed into the ERP by hand, labels generated separately, and no single place to see where a return stood.

After

Customers start the return themselves, the record and the label are created automatically, and staff review everything in one queue with the conversation attached.

MarketingConsumer brands
Before

A monthly email calendar that depended on one writer, one designer, and a lot of copy-pasting between documents and the sending platform.

After

An in-house studio drafts each campaign from the schedule in the brand's voice, verifies the offers, renders the email, and pushes it to the platform. The team edits instead of starting from blank.

ReportingMulti-location retail
Before

Sales in one place, ads in another, support in a third. Nobody could say which store a customer came from or whether the ad spend was real.

After

One reporting layer across storefront, ads, and helpdesk. It caught fraudulent ad spend, attributed in-store visits by neighborhood, and answers in a conversation what used to take a week of exports.

About

Run by an operator, not an agency.

Intrepid is led by Josh Weiss, COO of a multi-location retail business, who builds for other companies the same way he builds for his own: quickly, in the open, with the people who will use it. Fearless about the problem, bold about the fix, savvy about what to leave alone.

Bring the process that eats your week.

Thirty minutes is enough to know whether it is worth fixing and what it would take.

Or call 973-459-9580