// Industries · Retail

Retail. One readable item, from the factory to the till.

A tag commissioned at source stays readable through distribution, receiving, the shop floor and the till. Innfini turns that into item-level stock counts, back-to-front replenishment, display compliance and omni-channel fulfilment — in one mobile application, on barcode, RFID or both.

99.4%
Item-count accuracy
98.5%
Operational accuracy
Offline
Point of sale & exit
BarcodeRFIDHybridOmni-channel
Isometric cutaway of a store: ceiling RFID antennas reading the sales floor, display windows, fitting area and till, with the item chain running in from the factory and warehouse and out to the customer
Reading now 6,559 items on the floor · last sync 12 s Barcode · RFID · hybrid
Encode
Ship
Receive
Transfer
Count
Sell
01 / The imperative

A store knows what it sold. It rarely knows what it has.

Stock on hand is a number in a system, reconciled by a count that happens a few times a year and is out of date the day it finishes. Everything downstream inherits that error: replenishment fires late, the website promises stock the shop floor cannot find, and the gap between the two is discovered at the till.

01

No item-level truth

Inventory is known at SKU level at best. Which items, in which store, in front or in the back, is a question nobody can answer between counts.

02

Counting costs selling

Manual counts take associates off the floor for days, and the accuracy they buy starts decaying the moment the count closes.

03

Out of stock, in stock

The item is in the building but not on the shelf. To the customer and to the system that is the same as not having it.

04

Disconnected stages

Factory, warehouse and store each tag, scan and record separately, so nothing follows the item end to end.

02 / The item chain

One tag, read at every stage it passes.

The platform is built around the item rather than the location. A tag is commissioned at source and stays readable through distribution, receiving, the shop floor and the till — so each stage inherits the last one's truth instead of rebuilding it. One chain, covered end to end.

End-to-end item chain: a factory producing and tagging, a warehouse receiving, moving and fulfilling, and a store selling and serving, with every read arriving on one real-time platform
Swipe to follow the chain
Source tagging at the factory · verified through the warehouse · counted and sold in the store — one item record, read at every stage
Factory

Commissioned at source

  • Commissioning & stock management
  • Serialization and encoding
  • Mass printing
  • Packing and shipping
  • Handhelds & transition RFID portals
Warehouse

Verified without opening the box

  • Automated shipping & receiving verification
  • Pick and pack
  • Inventory control
  • Cross-docking
  • Conveyor and tunnel automation
  • RFID exceptions — re-printing, QC check
Store

Counted without closing

  • Inventory team cycle counts
  • Receiving
  • Sales & returns
  • Omni-channel fulfilment from the store
  • Display compliance & vitrine verification
  • Dressing-room clean-up
  • Anti-theft and shrinkage
  • Fixed readers behind the wall · handhelds
Replenishment runs across all three · replenishment threshold · back-to-front replenishment · critical out-of-stock replenished from the DC
03 / The portfolio

What a store actually runs, and what each one changes.

Every process below is in one application with one role model, so a store associate, an inventory team and a supply-chain manager are working the same item records rather than three parallel systems.

01

Stock count

A full-store count stops being an event that closes the shop and becomes something an associate runs down an aisle. Counting item by item rather than SKU by SKU is what makes the rest possible: once you know which items are present, you also know which are missing, which are in the back, and which are on display in the wrong place.

Count
Fast, accurate mobile stock counts across front of house and back store
Find
Quickly find and identify individual items on the floor
Replenish
Eliminate out-of-stocks with back-to-front replenishment
Comply
Display and merchandise compliance, including vitrine verification
Fulfil
Flag items for omni-channel fulfilment; integrate with POS and process returns
Inventory accuracyDiscrepancyCritical out-of-stockReplenishmentCompliance metrics
What it is held to

Improve inventory visibility and accuracy while reducing associate time and effort. Decrease out-of-stocks, boost on-shelf availability, increase sales.

02

Innfini Retail Mobile

One application rather than one per process. The same handheld runs the cycle count, the look-up, the packing validation, the transfer and the receiving, under a single sign-on and a single role model — and it is configured centrally, so a thousand devices do not need a thousand visits.

One app
Single application with full access and role management, on Android and iOS
Managed
Central mobile configuration management, with MDM integration
Processes
Cycle count · manage tags · look-up · packing · transfer out · receiving
Controls
Packing validation, IBT locking, in-store GI built in
Context
Notes and comments on packing, transfer out and receiving
Search
Enhanced look-up and global search across the item record
Transfer integrity

A tag assigned to an inter-branch transfer cannot be assigned to another. The IBT auto-locks once packed and cannot be changed after the fact.

03

SMART reporting

A count is only worth what you do with it. The reporting layer turns each count into the four answers a store manager needs — what matched, what is short, what is extra, and what is critically out of stock — and rolls the same figures up to a regional and enterprise view without anyone rekeying a spreadsheet.

Count
Item accuracy, operational accuracy, stock on hand, EPC data front and back store
Matching
SKU-based report listing the items that matched
Unders
Items short during the count compared to stock on hand
Overs
Items extra, including items whose stock on hand was zero
Analytics
SKU discrepancy and outliers — where the biggest differences actually sit
Supply chain
Dedicated supply-chain reports and inventory by EPC
Enterprise
Dashboards, point-of-sale summary and conversion-rate monitoring
Export
Export individual reports; database access for BI tools; Microsoft Dynamics plugin
Country & company configurationInteractive reports
On the roadmap

Enterprise reports and accuracy trending over time are in development — shown here so the picture is complete, not because they ship today.

04 / In the hand

One application, every process a store runs.

Screens from the shipping product, not a concept. Same sign-on, same role model, same item records.

One application, six processes
Manage tags · cycle count · locate · receive · pack · transfer
Cycle count
Cycle count · 75% read · 5,016 of 6,689
Locate an item
Look up by SKU, UPC or EPC with live signal strength
Packing
Packing validation against the order
Transfer out
Transfer out · scan or type the ASN
Receiving
Receiving · validate against what was shipped
Android & iOS · centrally configured · MDM-integrated · offline-capable at point of sale and point of exit
05 / In the back office

The same item record, rolled up for a whole estate.

Eight screens from the reporting layer, in the state a chain of 42 stores would see them on a Monday morning. Product descriptions in the sample data have been recoded.

Innfini · retail · operations homeOperations home
Innfini retail operations home: inventory accuracy, net sales, out-of-stock SKUs, shrink rate, sell-through by department, shrink and loss alerts, RFID read rate, omnichannel mix and top on-shelf gaps
99.4% inventory accuracy, item-level · 1.84M AED net sales today, +12.4% on last Monday · 38 out-of-stock SKUs across 42 stores, four of them critical · 0.41% shrink month-to-date against a 1.5% sector average, −34% year on year · 98.7% read rate across 118 readers · 11,204 omnichannel orders
Innfini · count · enterprise complianceEnterprise compliance
Enterprise count compliance: stores compliant, at risk and non-compliant, enterprise accuracy, cycles closed, units counted, compliance by site on a map, compliance trend, accuracy distribution and count labour RFID against manual
28 of 42 stores compliant, 11 at risk, 3 escalated to the region · 98.2% enterprise accuracy weighted by units · 39 of 42 cycles closed, two overdue beyond 24 hours · 1.94M units counted in thirty days · count labour down 63–81% against the manual barcode baseline, emirate by emirate
Innfini · count · accuracy trendStore accuracy trend
Store accuracy trend across fourteen count cycles: expected, counted, match, overs and unders, operational accuracy, and the same again at SKU level
Fourteen cycles at one store. 21,803 expected against 21,532 counted, 20,673 matched · +472 over, −867 under · 94.8% operational accuracy, up 4.8 · 87.1% SKU accuracy across 13,243 SKUs, up 17.0
Innfini · inventory · reconcilePOS against RFID
Previous-day inventory reconciliation between the POS system count and the item-level RFID count, with a discrepancy breakdown and a resolution queue
6,622 by point of sale against 6,559 read by RFID · 931 front of house, 5,628 back room · 63 topline gap, 457 once offsetting errors stop cancelling out · 97 units seen only by RFID go to the back-room team, 126 seen only by POS go to a targeted recount
Innfini · count · outliersSKU discrepancy
Store SKU discrepancy outliers: total unders, total overs, net variance, worst department, and the distribution of variance per SKU
3,301 units under across 2,946 SKUs, 981 over across 1,336 · −2,320 net, 1.9% of 121,840 counted · the distribution says where the gap actually sits, so a manager works the tail rather than the list
Innfini · supply chain · asnAdvance shipping notices
Advance shipping notice data: notices in window, delivered, in transit, packed and units short, with an ASN ledger showing quantity shipped against quantity received per destination
1,284 notices in window across 42 destinations · 1,046 delivered, 173 in transit, 65 packed · −214 units short across 38 notices carrying a variance — known before anyone opens a carton
Innfini · supply chain · receivingReceiving operations
Receiving operations: received today, this week and this month, unexpected receipts, a shipment timeline and receiving lines flagged short or over received against the advance shipping notice
70 received today, 321 this week, 1,996 this month, 18 unexpected · shipments tracked from dispatch to dock · every line reconciled against the notice, short and over receipts raised as they land
Innfini · analyze · fitting roomFitting-room conversion
Fitting-room conversion: share of try-on sessions that ended in a sale, with lists of items tried but not sold, sold after fitting, and sold without ever being tried
28.05% of try-ons ended in a sale — 260 of 927 sessions, up 3.1 points · tried but never sold, sold after fitting, sold never tried — the three lists that separate a fit problem from a presentation opportunity
Interactive reports · per-report export · direct database access for BI tools · Microsoft Dynamics plugin
06 / Real time

Overhead antennas, so the count never stops.

A cycle count is a photograph — accurate the hour it is taken, and drifting from that hour on. Ceiling-mounted antennas covering the sales floor, the fitting rooms and the back store read the same tags continuously, with nobody walking the aisles. The item record stays current while the store trades.

Front of house Fitting rooms Back room
Edge online
98.7%
Read rate · 118 readers · last sync 12 s
118
Readers streaming

Across 42 stores — 112 nominal, 6 degraded. A reader that drifts raises an alert instead of quietly leaving a hole in the floor.

12 s
Since the last edge sync

Reads are aggregated at the edge and reconciled centrally, so a store keeps counting through a broken link and catches up when it returns.

0
Staff hours per refresh

Nobody walks the floor to keep the number true. The handheld stops being the way stock is counted and becomes the way an exception is chased down.

Barcode, by hand
Twice a year
Full physical audit

The store closes, three people spend a shift on 16,000 items, and the number decays for the six months that follow. Most chains sit near 65% accuracy between counts.

RFID, by handheld
Weekly
Cycle count

The same count takes about one labour hour instead of 27, which makes a weekly cadence affordable. Counting every fortnight holds accuracy above 95%.

RFID, overhead
Continuously
Fixed antenna coverage

Coverage is fixed, so the count stops being an event. Accuracy becomes a live number rather than a monthly report, and a gap on the shelf is minutes old rather than a week.

What continuous coverage surfaces·from the operations home, one morning
Non-scan at exit · 3 items
Tags crossed the portal without a matching sale · 09:07
High
Fitting-room item not returned
Read into a cubicle, never read back out · 08:54
Medium
Sweetheart pattern · till 4
Items leaving the till zone unread, repeatedly, on one operator · 08:41
High
Back-room stock aged 21 days
Sellable units that have never been read on the sales floor · 08:28
Info
Cycle count overdue · 6 zones
Zones the fixed estate cannot see, still owed a handheld pass · 07:58
Medium
Count cycle closed · 99.8%
Reconciled against the system of record, no recount required · 07:05
OK
Zoned coverage — a read is a location, not just a presence · front of house, fitting rooms, back store and the point of exit
07 / The estate

The platform is the constant. The hardware is your choice.

Overhead antennas are one source of reads among several. Handhelds, portals, conveyors and tunnels feed the same item record, as does a plain barcode where an item is not tagged yet — and none of them is ours to sell you. Over 5,000 sensors and devices are already integrated.

Rugged Android handheld computer running the Innfini Retail Mobile application
Rugged handhelds — the application runs on standard
Android and iOS devices, so the estate is yours to choose.

Overhead antennas

Ceiling arrays for the sales floor, behind-the-wall units where a fixture hides the item. Zoned, so a read carries a location and not just a presence.

Transition portals

Door and gate portals that read direction of travel — the point of exit, the stock-room door, the goods-in dock.

Conveyor & tunnel

Automated verification in the warehouse — shipping and receiving checked without opening the carton.

Printer / encoder

Mass printing and serialization at source, so the tag is commissioned before the item ships.

Barcode · RFID · hybrid — 5,000+ sensors and devices already integrated · no custom development to add a reader
08 / What a count returns

Four numbers a store manager can act on the same morning.

The figures below are a real count summary from the platform: what the system thought was there, what was actually read, and the gap broken into the three kinds of gap that need different responses.

99.4%
Item-count accuracy

Items read against items expected.

98.5%
Operational accuracy

How well the count itself was executed.

45,674
Stock on hand

Against 43,221 items actually counted.

32,126
In front of house

With 11,095 in the back store.

1,235
Unders · short against stock on hand
142
Overs · extra, including zero-SOH items
88
Critical out of stock · replenish now
09 / The return

What changes, and what each change is worth.

The starting point is labour. A typical store of 16,000 apparel items takes three staff a full shift to count by barcode. The same count by RFID takes a little over an hour.

Counting 16,000 items · barcode
27
labour hours

Three employees, a full shift. Practically, that limits a chain to counting twice a year.

The same count · RFID
~1
labour hour · 25× faster

For the same labour cost a store can count weekly. Counting every two weeks holds stock accuracy above 95% and frees the rest of the time for selling.

1.5–5.5%
Sales uplift

From fewer out-of-stocks, better availability, and staff on the floor instead of in the stockroom.

65 → 93–99%
Inventory accuracy

The single number the rest of the business runs on.

5,000 → 9,000
SKUs exposed online

Stock you can safely promise to an online shopper, because you know you have it.

2–13%
Stock levels reduced

Less held overall, and less held in the wrong place.

15%
Shrinkage reduced

Mostly deterrence at interactive exit controls, plus knowing which products are actually prone to theft.

65%
Average inventory
accuracy without RFID
→
+3%
Every three points of accuracy
is worth about a 1% sales lift
→
+9%
Gross sales, for a store that gets
from 65% to 93% — no other investment
99.9%
Order accuracy

Against 31% of orders accurate on UPC alone — roughly a threefold improvement.

15–25%
Order fulfilment time

Cut, because stock available for online sale is known in real time.

6–15%
Stock holding

Reduced, with fewer markdowns as replenishment goes where it is needed.

75%
Stock-audit cost

Saved by eliminating the annual physical audit as a separate exercise.

4%
Store staff cost

Reduced overall, with the freed time moved to customer service.

5%
Gross margin

Recovered on a season by acting on an accurate mid-season count instead of a blanket markdown.

Published results from large RFID programmes · third-party, not Innovent deployments
Macy’s
  • Monthly accuracy variance 4–5% → 2–4.5%
  • Items not displayed 30% → 4–6%
  • Full-price sales +2.6% after first markdown
  • Order fill +6.1% on tagged merchandise
  • ~10% revenue uplift on size- and colour-intensive categories
Decathlon
  • 1,030 stores, 43 warehouses
  • 1.4 billion items tagged
  • 90% tagged at point of manufacture
  • Inventory checks 10× faster than manual
  • Sales +11%, damage losses −9%
A UAE retailer
  • Physical stock count >98% accurate
  • Daily count time −80%
  • Annual count time −85%
  • Product locating time −75%
  • RTV execution 75% → 90%+, LTI 65% → 90%

Figures above are drawn from Innovent’s retail ROI analysis and from publicly reported RFID programmes. They describe what these programmes achieved, not a guarantee of what any particular store will achieve — the return depends on category mix, current accuracy and how often you choose to count.

10 / The platform beneath

Built to run across a whole estate.

A retail chain is many sites, many operators and a lot of intermittent connectivity. The platform is shaped for that rather than for a single flagship store.

Cloud

SaaS, multi-tenant, multi-site

One tenancy per business, every site under it, with minimal infrastructure in the stores themselves.

Offline

Full offline support

Point of exit and point of sale keep working when the link does not, and reconcile when it returns.

Operable

Secure, and usable by third parties

Role-based access built for stores staffed by contractors and third-party operators, not only by employees.

Barcode · RFID · hybrid — the same platform whether a business is tagging everything, some things, or nothing yet
11 / Enterprise-ready

Open where it has to be, closed where it matters.

What a retail IT team asks before the first store goes live.

Integration

  • Microsoft Dynamics plugin for the ERP side
  • Direct database access so BI tools read the same figures the dashboards do
  • POS integration for sales, returns and conversion monitoring
  • MDM integration for the handheld estate
  • Country and company configuration for multi-market groups

Operations

  • Single application with full role management
  • Central mobile configuration — devices configured once, centrally
  • IBT locking so a packed transfer cannot be quietly altered
  • Notes and comments retained against every process for later audit
  • Interactive reports with per-report export
// In summary

Innfini gives retailers one readable item record from the factory floor to the till — and the reporting to act on it the same morning.

// 3-year ROI · industry-tuned

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