Supply chain OS for supermarket & omni retail chains

The nearer store had it — but its stock wasn’t live, so you shipped from far.

A web order ships from the store that actually has it, not a warehouse three states away — because every store’s stock is live on one record the moment it moves, not synced an hour late.

See it on your stores and SKUs Talk to us

The engine has run fulfilment at scale in our manufacturing and LSP business. G2 4.4 Capterra 4.8

A product brand, not a chain? See established brands →.

Store · modern trade on-hand 34
Store · supermarket on-hand 0
Store · zoned on-hand 12
Store · supermarket on-hand 9
Store · modern trade on-hand 21
One stock number live · 5 stores
76 available across the network
stores 67
online 6
marketplace 3
Web order SKU FEFO-7 · qty 1
Nearest store with stock
Ship from store zoned · FEFO pick

Illustrative — stores, figures and the order are a representative example, not a specific customer's. We'd rather show you than tell you — run your real orders through it live before you commit.

Sound familiar?

Three moments where your stores and your channels don’t agree

The store next door had it — but the order shipped from far, the margin thinned, and the shelf aged out. Three costs, one cause.

Three moments where a chain’s stores and channels don’t agree because every store’s stock isn’t live in one place, and what each one costs. FEFO = first-expiry-first-out.
The moment What goes wrong today What it costs
A web order could ship from the store right next to the customer That store’s stock isn’t live online, so the order ships from a far warehouse — or cancels A sale lost, or fulfilled slow and costly from the wrong node
High-velocity, low-margin stock moves fast across the network Every wrong-node ship and stale count is recoverable margin left on the table Thin margin gets thinner, store by store
Perishables age on shelves across dozens of stores No FEFO discipline per store, so picks pull the wrong batch Shrinkage and expiry write-offs you eat at quarter-end

The cost isn’t a feature gap — it’s a store network where the stock isn’t live in one place. That’s the seam to land on first.

What it does

Make every store a node, capability by capability

Every store’s stock live on one record, FEFO and zoned picking, stores plus online plus marketplace on one stock pool, and the q-comm mandate at chain scale — slot-aware pick, partial allocation and the named q-comm connectors — all run live across your store network. We run it on your own orders in the demo.

Every store’s stock live on one record

Stop shipping from far when a nearer store had it — every store’s stock is live the moment it moves, so a web order ships from the one that actually has it

Live

The unit is reserved the moment the order confirms — so online and the store floor can’t sell the same piece.

Every store is a live node on one record; a web order is allocated to the nearest store that can ship it, skipping the sold-out store A glass panel on a pale-cyan mesh. Six store tiles, three down each side, each carrying a live quantity, are linked by thin hairline wires that converge into one central glass ledger island headed One live record, showing a single live figure summed across the stores. One store is dimmed and dashed because it is sold out at zero; its wire bends past, not into, the live route. From the record, one highlighted route runs out to the nearest store that can ship, ending at a small order-pin glyph. The unit is reserved the moment the order confirms, so online and the store floor cannot sell the same piece. Quantities are a schematic example, not a specific customer's data.

Every store live on one record

  • Five stores carry stock — 12, 7, 9, 3 and 9 units — and one is at 0, sold out and skipped.
  • One live record sums them to 40 across every store — the number online and your floor both see.
  • A web order is allocated to the nearest store that can ship it; the sold-out store is skipped, so no order ships from far.
  • The unit is reserved the moment the order confirms — online and the store floor can’t sell the same piece. Figures are illustrative.

No order shipping from far when a nearer store had it. No “online says in stock, the shelf is empty.”

National company-owned store-network retailers fulfil web orders from store stock at that scale (see the proof below).

Live

FEFO and zoned picking across stores

FEFO and zoned picking across every store

Use case
Perishable and high-velocity stock moves across dozens of stores, but there is no first-expiry-first-out discipline per store.
Consequence today
Picks come off the wrong batch — shrinkage and expiry write-offs, exactly where low-margin stock can least afford it.
What Fretron does
Each store picks first-expiry-first-out from its own zones, and dispatch routes on the same record.
First-expiry-first-out picking from store zones, dispatch routed on the same record A single store-as-node holds three zones of stock. A solid pick connector threads the batches in expiry order, oldest in-date batch first. A clean dispatch route leg leaves the store to the right, on the same record. A faint ghost line shows a wrong-batch pick that the ordered sequence corrects. The expiry dates are a schematic example, not a specific customer's data.
Store · node Zone A Zone B Zone C 1 EXP 09-26 pick first 2 EXP 11-26 3 EXP 02-27 Dispatch · routed on one record
  • Store · node
  • 1 Zone A EXP 09-26 pick first
  • 2 Zone B EXP 11-26
  • 3 Zone C EXP 02-27
  • Dispatch · routed on one record
First-expiry-first-out from store zones, dispatch routed on the same record — the oldest in-date batch goes out first.

First-expiry-first-out from store zones, on one record:

  • Three zones hold batches expiring 09-26, 11-26 and 02-27 — an illustrative example, not a customer’s data.
  • The pick is ordered oldest-in-date first — the 09-26 batch is picked first, so nothing expires on the shelf.
  • Dispatch routing runs on the same record, so the order leaves from the store that can route it cleanest.

Less shrinkage, fewer write-offs, fewer wrong-zone picks — on thin-margin stock, that is recoverable margin you are leaving on the table.

LIVE — shown on your own stores.

A supermarket chain in our pipeline runs exactly this pattern. We’d rather show you than tell you — run your real orders through it live before you commit.

Live

Stores, online and marketplace on one stock pool

Use case
Your stores, your D2C site and every marketplace draw from one stock pool — but online can’t be allowed to sell a unit a store has already committed to walk-in trade.
What it does
One live stock pool, ring-fenced per channel: online sees only what’s free to promise, so the same piece can’t sell twice across stores, site and marketplace.

No channel borrows another’s stock. One pool, ring-fenced — not three disconnected systems guessing at each other.

A supermarket chain in our pipeline ring-fences modern-trade, D2C and marketplace stock exactly this way — a thin-margin unit promised to a store shelf never ships out from under it online.

The q-comm mandate, at chain scale — slot-aware pick at the store, partial allocation across your stores, and the named q-comm connectors all run live across your store network

The q-comm mandate at chain scale — slot-aware pick at the store, partial allocation across your stores, and the named q-comm connectors all run live across your store network.
Slot & allocation across your stores Live
Named q-comm connectors Live
ORD-48217 store: MT-store ST-07
slot 11:00–14:00 Picked for slot

Pick is sequenced to the appointment slot, at the store

ORD-48219 · 1 web order qty 40
large order · 40 units
25 from ST-07 15 from ST-12

Allocate one order across the stores in the network that have it

Named q-comm connectors live
  • Q-comm channels live
  • Marketplace channels live
  • Storefront · web orders live

slot/appointment · partial allocation · large-order — all live on your orders

slot-aware pick + partial allocation + named q-comm connectors: live across your store network today

Use case
“We sell on quick-commerce now too — those channels want appointment slots, partial allocation when one store can’t fill the order, and the large orders taken — all across our store network.”
What it costs
A missed slot or rejected large order is a penalty and a cancelled order — on the high-velocity, low-margin volume your stores move every day.
Proof
A supermarket chain in our pipeline runs the slot / partial-allocation / large-order mandate on its own orders as it adds q-comm channels.
In the demo
Incumbents oversold you the moon and missed. We don’t pitch a roadmap — we run the slot, the allocation and the connectors live on your own orders in the demo.
The expand path

Grow a dark-store or q-comm arm on the record you already run

An expand path as you grow

Our stores and online already run on one record. The next move is a dark-store or quick-commerce arm — and we don’t want a second system to stand it up.

What this becomes
A dark-store or q-comm arm runs on the same live record your stores already use — a dark-store is one more node, a quick-commerce order one more channel on the same stock. You add a fulfilment mode, not a second platform.
The upside
Spinning up the next arm is configuration on the record you already run, not a fresh integration project — so the store network you put on one record is what every later mode compounds on.

A supermarket chain in our pipeline runs store-stock visibility first, with a dark-store arm as the next step on the same record — no second system to stand it up.

Standing up a full q-comm or dark-store operation?

Objections, answered

The pushbacks we hear from retail and supermarket chains — and the honest answer to each.

  • Can a younger player run our store network at scale?

    We’d rather show you than tell you. Run your real orders through it live — watch store-to-order allocation before you commit a single store.

  • A full re-platform is a change-management nightmare.

    So don’t re-platform. Land on one seam — store-stock visibility — in weeks, then add modules on the same record. No big-bang cutover.

  • We’re high-velocity, low-margin — will this actually move the needle?

    When margin is thin, every recovered inefficiency is margin back. FEFO, zoned picking and ship-from-store cut shrinkage, write-offs and far-ship cost.

  • Will it unify stores, online and marketplace — and what about q-comm?

    One stock number across stores, online and marketplace, each channel ring-fenced. Slot-aware fulfilment and partial allocation run live on your own orders — never just handled.

Proof

The proof is your own stores — live, not on a slide.

The engine has run fulfilment at scale at some of India's largest manufacturers and LSPs — and we'd rather show you than tell you: see it live on your own data. On a store network, that means proving it on your own stores and SKUs.

National footwear and apparel chains in our network run hundreds of company-owned stores and fulfil web orders from store stock, alongside the large marketplaces. At that scale, ship-from-store and endless aisle only hold up if every store’s stock is live in one record — that is the exact gap we close.

National store-network chains fulfil web orders from store stock across their national company-owned store networks.

Across our pipeline

We’re in build and pilot with supermarket and modern-retail chains across our pipeline — a supermarket chain running high-velocity, low-margin stock on FEFO and zoned picking; a beauty-retail chain unifying store network, online and marketplace; a footwear chain selling across general trade, modern trade and online on one stock pool. Different store networks, the same store-as-node spine.

  • supermarket
  • modern trade
  • online

Rated 4.4 on G2 and 4.8 on Capterra by verified reviewers.

G2 4.4/ 5 Capterra 4.8/ 5

Rated by operators who run real store networks on it.

No pilot fee to find out. Bring your store list and a typical web order — we’ll show store-to-order allocation on your stores, live, in the demo. Land on one seam in weeks, not a re-platform.

See it live

See your stores, your warehouse and your channels on one screen.

Bring your store list and a typical web order. We'll run the whole flow live — store-to-order allocation on your own stores.

Book a demo on your data WhatsApp
  • Live in weeks
  • Your data, your call
  • No rip-and-replace

Priced 1:1 to your stores and channels. Founding-partner terms for early chains.

A product brand, not a chain? See established brands →.

You bring · your stores + a typical web order

  • Store · Mumbai far
  • Store · Pune stock 6
  • Store · Bengaluru stock 0
A typical web order Web order #5120 · 1 × SKU-3340 · ship-to Mumbai

You see · store-to-order allocation, live

Store · Pune stock 6 · ships from here allocate 1
Web order #5120 1 × SKU-3340
FEFO · zoned pick dispatch routing across stores

What runs live

The whole flow runs live on your own orders — we'd rather show you than tell you.

Review build