Tools2Win
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For furniture retailers, by a furniture retailer

Know what’s making you money before the doors open.

Nightly reports in your inbox with an AI read on what they mean. Hourly updates from the floor on your phone. Score Cards, reorder lists and price tags that build themselves. Your team stops chasing numbers and starts using them.

Book a 15-minute call Why AI alone won’t do it
portal.tools2winretail.com/scorecardSample data

Score Card: By Year

Jan 1 – Oct 26All categoriesAll profit centers

Sales

20
21
22
23
24
25

Margin $

20
21
22
23
24
25

Margin %

20
21
22
23
24
25

Average Sale

20
21
22
23
24
25

Traffic

20
21
22
23
24
25

Success %

20
21
22
23
24
25

Intraday Report Complete

now

Results as of 2:05 PM. $24,650 so far, 12% ahead of goal.

200+

storefronts supported

$1B+

in retail sales represented

5

POS platforms connected

2009

when the first tool was built, inside a working store

Retailers using Tools2Win include Scholet Furniture, Kloss Furniture, Coconis Furniture, Montgomery’s Furniture, Miller Waldrop Furniture & Decor, Old Brick Furniture, Indian River Furniture, Michael Alan Furniture & Design.

Let’s talk about AI

Your AI is brilliant. It has never run a furniture store.

Everyone’s asking whether AI can just handle this now. We use it every day, and it can’t. Hand it your POS data and you’ll get a fast, confident answer. Whether that answer is right depends on things it has no way of knowing.

What AI is genuinely great at

  • Explain what a number means
  • Draft the email to your team
  • Summarize a long report
  • Write a query, if it can reach the data

What it can’t do on its own

  • Get into your POS and pull clean data every night
  • Know which of your buildings count as stock
  • Notice when a feed quietly broke at 2 a.m.
  • Re-tag your floor or register a protection plan

Four questions that look easy. Try them.

The confident answer

Average the two stores

35%

Store A closes 50%. Store B closes 20%. Average the two and you get 35%, no matter how many people walked in.

The right answer

Count the actual ups. Drag them.

21.4%

10
200

We define each rate once, then rebuild it from its parts, every time.

A good AI can avoid any one of these once you tell it to. But you’d have to know to tell it, every time, for every question, across everyone on your team.

What you can’t just prompt your way to.

We connect to the source

Vendor warehouses, secure file drops and direct database links, kept running every night across five POS platforms.

We learn your rules

What counts as protection, which buildings count as stock, which orders count as clearance. At last count, 100 client-specific rules across 50 retailers.

We speak furniture

Ups, written business, nailed vs. available, same-weekday comparisons. It’s built into the numbers, so nobody has to explain it in a prompt.

We reach the floor

A chatbot can write you a re-tagging plan. We produce the tags, keep your website current and send protection registrations to the provider.

We pick up the phone

People who know furniture retail train your team and help you decide what to do next. When a number looks wrong, it’s our problem to chase.

So we put AI where it’s actually useful

Keep your AI. Give it something true to read.

AI analysis on your nightly reports. Your reports arrive with a plain-English read in the email: what’s working, what isn’t, and what to do this week. It works from your report’s numbers and furniture rules, like not judging a clearance center against a retail store. Each one is labeled as AI, because it can make mistakes.

A personal note for each salesperson. Where it’s turned on, each one gets a note written to them, measured against the company’s numbers.

Luma, your AI analyst. Ask in plain English and get charts, tables, dashboards and PDFs from one set of governed definitions. It’s instructed to state only numbers its queries return, and to tell you when the data can’t answer.

Or bring your own. The Data Studio connector lets Claude, ChatGPT, Gemini or Grok read your Tools2Win data: same definitions, your company only, read-only.

Luma and the connector are available to account admins today.

Sales Report Daily: Wednesday

Sample data

From Tools2Win Reports, delivered overnight

Sales Report.xlsbSales Report.pdf

AI Generated Analysis

Watch

Month to date you’re 6% ahead of last year, but margin has slipped 1.1 points, and most of that is Motion at Northside. Discounting on recliners is the biggest single driver.

  • Strength: Downtown protection is at 34% of tickets, its best month this year. Dana deserves the shout-out.
  • Concern: Northside traffic is up, but close rate fell 3 points. More people are leaving without buying.
  • Do this week: Review recliner discounts with the Northside team before the weekend event.

AI-generated insights may contain errors or omissions. Check them against the attached report.

A day with Tools2Win

Your POS has every answer. We make it speak up.

Drag through a normal Tuesday and see what shows up, without anyone pulling a report.

11:05 AM

How the floor is doing, every hour.

Hourly updates show each store against its goal, with margin, traffic and close rate where you have them. You can be across town, or at Market, and still know.

Intraday Report Complete

Results as of 11:05 AM

This hour: $4,310, 3 tickets

Total company

Downtown

+12%

$7,450

Goal $6,650 · Margin 47.2%

Northside

−21%

$2,180

Goal $2,760 · Margin 44.8%

Clearance Center

+4%

$1,640

Goal $1,580 · Margin 38.1%

Sample screens, with invented stores, people and figures. Times are examples. Intraday updates depend on what your POS can provide, and AI analysis and tools are set per company.

The Score Card

See how you’re really doing, over time.

Week to date, month to date and year to date, by store and by category, compared on the same weekdays as last year. Gold beats goal. Green beats last year. Red means look here first.

Score Card, Year SummarySample data
% vs last yearJanFebMarAprMayJunJulAugSepOct
Sales+3−2+5+8+7+1−3+4+9+11
Margin $+2−1+7+9+5+2−4+6+10+12
Traffic−4−6−1+1+3−2−5−1+2+3
Success rate+4+2+3+6+2+1+1+3+5+6
Average sale+3+2+3+2+3+2+1+2+3+2
Protection+6+1−2+4+7+8+3−1+6+9
Above goalAbove last yearBelow last year
SummaryCharts by YearCharts by StoreBy CategoryBedroom to MattressCategory Paretos

Every sale comes down to one equation.

Traffic × Close rate × Average sale

The Score Card tracks each part, so you know which lever to pull. Move them on a sample store and see what it’s worth.

8,000
31%
$1,800
48%

Margin dollars vs. the sample store today

+$69,120

a year, on $4,464,000 in sales.

Arithmetic on a made-up store (8,000 guests, 30% close, $1,800 average sale, 48% margin), not a forecast. The right levers for you are what the Score Card is there to show.

One platform, every seat

Everyone in the building gets their morning back.

Your whole business, before your first coffee.

The old way
Waiting on month-end, or asking someone to pull a report.
With Tools2Win
Goal and hourly results on your phone, a color-coded Score Card every week, and a clear view of which vendors are gaining or losing share of your sales.
  • Score Card
  • Leaders & Bleeders
  • Event Overview
  • Sales Report
  • Hourly updates
portal.tools2winretail.com/leadersbleedersSample data

Leaders & Bleeders

Compare date rangesThis year vs lastAll categories

Share change (points)

Northfield+3.1
Harbor & Pine+1.6
Calloway Home+0.3
Ridgeline−1.9
Marlow & Sons−2.8

Share of Sales by Year

NorthfieldCallowayMarlow

Vendor Sales by Year

20
21
22
23
24
25

Margin % of Sales by Year

20
21
22
23
24
25

And there’s a lot more

Built up over years, one store’s problem at a time.

Everything we offer exists because a retailer needed it. Pick a part of your business and see the questions you’d be able to answer.

How are we really doing?

  • Are we ahead of last year and on track for goal?
  • Which stores and categories are driving the result?
  • Did that big event actually work?

We’ll set you up around your POS, your stores and the problems you actually have. Talk it through with us

Run your own numbers

What is doing it by hand costing you?

Change the numbers to match your stores. Switch off anything you’ve already solved.

3
$28
6
Tasks you do by hand today

Estimated labor you could redeploy

$63,840

a year. That’s 190 hours a month, or about 1.2 full-time people.

Check these against your store

This is time, and it only becomes money if you put it to work. Hour figures are Tools2Win’s estimates, and the price-tag figure assumes a 40,000 sq ft showroom. Ordering assumes Auto Order saves up to 75% of routine time. Yours will differ. This doesn’t include software cost or any margin or sales gain.

Our story

We built this because we needed it.

Most retail software is built by people who have read about your business. Ours started inside a furniture store, with an owner’s own money on the line. It still shows in what we build and what we ask you on the first call.

  1. Before

    Jamie Winter grows up in a family furniture business in Emporia, Kansas, then leaves for engineering at Motorola and builds a factory in China from scratch to 1,300 people and $500M in sales.

  2. 2009

    Jamie comes home and puts life savings into the family business, now growing in Topeka. There’s no data to run it on and no way to know if the investment will pay.

  3. Next

    So Jamie pulls the data out of the POS and builds the tools the store needs. An auto-order tool cuts ordering time by a factor of ten. Market tools show which categories and vendors to grow or shrink.

  4. 2016

    Other retailers in Jamie’s performance group ask for the same tools. A formal program launches with the Furniture First buying group, and a small engineering team forms.

  5. Today

    Tools2Win supports more than 200 storefronts, inside and outside Furniture First. And it’s still built by people who know what a Saturday on the floor looks like.

From the people running the stores

“We have a trackable return of nearly $200,000 annually”
Art Scholet, Scholet Furniture
“biggest, most important tool and success driver … in my 40-year career”
Randy Coconis
Coconis Furniture
“you are leaving time and money on the table”
Chris Cooley
Michael Alan Furniture & Design
“not many investments that can buy back my time”
Beckey Waldrop
Miller Waldrop Furniture & Decor
“Our entire team lives and breathes with this program.”
Josh Kloss
Kloss Furniture
“I don’t have to run any reports! How easy is that?”
Forrest Lilly
Indian River Furniture
“a best-selling occasional table set … we didn’t show at our other location”
Bo Coconis
Coconis Furniture

Retailers’ results, in their own words. Yours depend on your business and on what you do with the data. Read the full testimonials

Straight talk

Ask the hard ones.

Can’t I just paste my reports into ChatGPT or Claude?

You can, and for some things you should. But your AI only knows what you hand it. It won’t pull clean data from your POS every night, apply your company’s rules, catch a broken feed, re-tag your floor or pick up the phone. That’s the part we do. Then you can point your AI at the result.

Is your AI always right?

No, and neither is anyone else’s. It’s why our AI analysis is labeled as AI, sits next to the report it came from, and tells you to check it. Use it as a sharp assistant who read everything overnight, and let your judgment make the call.

Do I have to replace my POS?

No. We work on top of it. Today that’s STORIS, Profit Systems, Myriad, FurnServe and TylerNet. On something else? Ask us before you assume either way.

Do I still get my Excel reports?

Yes. Nightly and weekly reports arrive as Excel and PDF, and the client portal puts the same kind of view in your browser. Use whichever fits how you work.

Will this make me more money?

We can’t promise that, and you should be wary of anyone who does. We can show you where the money is and take the busywork off your team. Clients have reported better margin, less unproductive inventory and real labor savings, but they’re the ones who acted on what they saw.

How fresh is the data?

Reports refresh nightly, so you start the day with yesterday’s full picture. Hourly updates come from POS systems that can provide them. It isn’t a live feed of every ticket, and we won’t tell you it is.

Does Auto Order place the orders for me?

No. It builds the order sheet, one tab per vendor, and your buyer stays in charge of what actually goes out.

Is Luma, the AI analyst, available to everyone?

Not yet. Luma is available to account admins today. AI analysis on reports is set up per company.

Do other retailers see my numbers?

No. Each company’s data is kept separate, and access inside your company is set by user and by permission.

What does it cost, and how long does it take to get going?

Both depend on your POS, your store count and which tools you want. We’d rather give you a real answer than a brochure answer, so we’ll cover both on the first call.

Is this only for furniture?

Yes, home furnishings is what we know. Being this specific is why the tools work the way your store does. If you sell something else, we’re probably not your people.

Fifteen minutes. Bring your hardest question.

Tell us what you can’t see in your business today. We’ll tell you honestly whether we can help.

Book your discovery call (214) 882-0226[email protected]