ONE × LAMA · 2026
ONE
An AI-native operating system for LAMA

Run LAMA on data,
not guesswork.

One platform for stock, demand, replenishment, and margin, with an AI copilot that turns every drop into a data decision.

01 / 10 · Cover
2026
02/ 10
The Problem
Great drops. Limited visibility.

LAMA's product moves fast. The data behind it needs to keep up.

  • Your hero piece sells out in days, while three others sit and slide to markdown.
  • The size everyone wants is in the wrong store, and you only find out once it's gone.
  • Online says sold out while the rack is full in-store.
  • You learn what worked after the season, not during it.
Sound familiar? A drop pops off on Reels. By the time you react and reorder, the moment, and the full-price sale, is gone.
Store stock
Size & colour
Online vs store
Drops & restocks
Markdowns
Returns
Customer data
Demand signals
02 / 10
2026
03 · Why now

Fashion now moves at feed speed.

Trends
Trends spike overnight
You have days to react, not a planning cycle.
Omnichannel
Store + online + social
StoreOnlineSocial
One stock truth, or you oversell and disappoint.
Drop culture
Restock the winners
Catch demand while the hype is still live.
Margin
Markdowns hurt
A late discount can wipe a drop's profit.
AI
Data is the baseline
The brands beating you already plan with it.
The brands winning right now don't guess. They run on data.
03 / 10
2026
04 · The cost

Where the money leaks.

Every blind spot turns into lost sales, dead stock, or margin you never see.

Stockout on a winner
The customer is ready to buy and you have nothing to sell. That sale is gone.
Overstock on a miss
Cash locked in pieces that only move at a discount.
Slow restock
You catch the demand a week after the hype has cooled.
Stranded stock
The right piece is sitting in the wrong store, unsold.
Late markdowns
Discount decided too late, after the signal was already there.
Split online / store
Overselling, underselling, and a customer who walks away.
A stockout isn't a data gap. It's a sale you'll never get back.
04 / 10
2026
05 · Introducing
ONE platform.
AI on top.
ONE connects stores, online, stock, and replenishment into one source of truth, then puts an AI copilot on top of it.
Your data
AI outcomes
POS & store stock
Online & marketplace
Drops & buys
Payments
Returns
Demand & social signals
ONE
AI operating layer
Full-price sell-through
Right stock · right store
Predictive reorder
Smart markdown timing
One online + store truth
Live margin
Not just an ERP. An AI-native operating layer for your brand.
05 / 10
2026
Your copilot · Ask ONE

Ask your business anything.

ONE Copilot
online · learns your brand
What's flying this week?
The oversized blazer is your number one, 78% sell-through in 9 days. Size M is nearly out at 3 stores. Want me to draft a transfer?
Should I mark down the satin slip dress?
Not yet. It's tracking to clear at full price by week 6. I'll ping you if it slips.
What do I reorder for the next drop?
Reorder cargo pants +220, skip the floral midi -60. Draft PO is ready for your approval.

No dashboards to dig through. Ask in plain language, get answers with the numbers, and let it flag what needs you before it becomes a problem.

  • Plain-language answers, backed by your live data
  • Predictive demand and reorder suggestions
  • Smart markdown timing, so you protect full price
  • Proactive alerts: stockouts, slow movers, size gaps
  • A daily brief on WhatsApp every morning
  • Learns from your calls and gets sharper over time
Outcome It's a merchandiser who never sleeps, and never loses the numbers.
06 / 10
2026
Drop performance · Live
62% sell-through
Spring Summer '26 · Day 9 of 30 · updated just now
Oversized blazer
78% ST
Cargo pants
58% ST
Graphic tees
39% ST
Satin slip dress
28% ST
Full-price · MTD 81%
Channel mix Stores 52 · Online 38
Social 10
AI flag Reorder blazer
Module · Demand Intelligence

Spot winners early.
Act in-season.

  • Predictive demand forecast per style and size
  • Early bestseller and slow-mover detection
  • Size and colour curve gap alerts
  • AI markdown timing and depth
  • What-if scenarios before you commit a buy
  • Live drop and channel performance
Drop lifecycle · plan to exit, on ONE system
01Plan & forecast
02Drop
03AI reorder
04Rebalance
05Markdown & exit
Outcome Stop guessing what worked. Watch it happen, and act while it counts.
07 / 10
2026
08 · Stock on autopilot

Let AI put stock where it sells.

ONE replenishes winners and moves stock from slow stores to fast ones, before it ever hits markdown.

Warehouse
Flagship Hot
Mall Hot
High-street Steady
Pop-up Slow
Online Channel
Auto-replenish Transfer · slow to hot
96%Size availability on winners
Rs 7 MDead stock freed for sale
1 dayAverage transfer time
08 / 10
2026
09 · The proof run

A 30-day proof run.

Small, low-risk, on your real data. You see the impact before you commit to anything.

3-5 stores Online One drop / category Your data, your call
Sell-through
By style, size, colour, store, and channel.
Reorder accuracy
How close AI calls land versus what actually sold.
Transfer impact
Sales recovered by moving stock to the right store.
Markdown saved
Full-price sales protected by earlier action.
Stock accuracy
System versus physical, across store and online.
Online availability
Available-to-sell, true across every channel.
Targets we prove on your own numbers
Full-price sell-through ↑5-15%
Markdown ↓10-20%
Stock accuracy ↑99.9%+
Planning time ↓30%
09 / 10
2026
10 · Let's go

Let's run a 30-day proof.

Pick a few stores and one drop. We plug into the tools you already use, switch on the AI copilot, and show you the lift on your own numbers. No rip-and-replace, no long contract to find out.

What the 30 days covers
  • Connect stores + online data
  • Switch on the Ask ONE copilot
  • Live sell-through & reorder calls
  • Lift shown on your own numbers
Email hassan@three-shelves.com
10 / 10 · End