Shoplogix Alternatives: Smart Factory Platforms for FMCG and Packaging

A biscuit packing hall has a flow wrapper with a PLC, an old cartoner, a case packer and two people loading display trays by hand. It runs four SKU changes a shift. A smart factory platform has to count all of it, tell a changeover from a jam, and help the shift act on what it finds.

This page compares Shoplogix with four alternatives layer by layer. Fabrico is one of the four and the author here, so test our claims like any vendor's. Our production monitoring software review runs seven tools through five real-time tests, and our smart factory software list covers MES-scale platforms.

What Shoplogix sells (as of 11.11.2026)

Shoplogix's about page dates the company to 2002, its move to cloud solutions to 2009 and its purchase by Constellation Software to 2017. It also records the 2022 purchase of PROXIA Software AG, a German MES company, and lists a head office in Oakville, Ontario. It calls itself a cloud-based platform with real-time data in visual dashboards.

• OEE from one signal. Its OneSignal page says it connects to any machine and turns part count signals into production insights. Out of the box, it shows whether a machine is running, idle or down, to the minute.
• Operators and analytics. The core products page lists operator entry of downtime and scrap reasons, unlimited users and a built-in analytics platform. It advises starting with one line or machine area, then expanding.
• Packaging lines. Its packaging page lists OEE tracking for fillers, labelers, sealers and palletizers, automatic small stop detection, and changeover duration by line and SKU. Its FAQ says it integrates with common ERP and MES solutions.
• Food and beverage. The food and beverage page names micro stoppages, slow changeovers and unexplained downtime, and ranks bottlenecks for each shift, machine and job order.
• Modules on top. The homepage names add-ons for maintenance reliability, quality management, team communication, production and labor efficiency, machine health, steam traps and batteryless IoT sensors.
• Pulse AI. An AI assistant that answers questions about OEE, downtime, quality, shifts or jobs from your Shoplogix data, with the numbers cited. The page says it does not change data or take actions.

We leave out the customer savings and percentage gains shown on the site, since they are vendor-reported.

Ask in the demo: which signal gives the count on each machine type you run, and how PROXIA's MES fits the platform.

When Shoplogix fits

• You want to start from one signal per machine and add modules later, the path its OneSignal and add-on pages describe.
• You want maintenance, quality and team alerts on the same machine data, through those modules.
• You run many SKUs and want changeover time by line and SKU, as its packaging page lists.
• You want to ask your production data questions in plain language, the job of Pulse AI.

If that is your plan, Shoplogix is built for it. The alternatives below collect and use line data in other ways.

Scope, layer by layer: OEE, what sits on top, help to act

Shoplogix's own pages stress three layers. First, OEE from one part-count signal per machine. Second, what sits on top: add-on modules and an MES through PROXIA. Third, help to act on the data: the Pulse AI assistant. Compare every vendor on the same three layers.

Every cell below comes from that vendor's own site, read on 11.11.2026, and is linked in the vendor's section. Order is not ranking: Fabrico sits first only because this is our page.

For the station-by-station question, which machine needs a PLC read, a sensor or a camera, see our page on camera or sensor by machine.

Want to see how a line like yours would be connected? Book a demo and bring the machine list.

Fabrico: OEE and a light MES, counting stations that have no signal

This is our own product, listed first because we wrote this page, not as a ranking: cloud OEE software and a light MES. Where Shoplogix starts from one part-count signal, Fabrico starts from whatever each station can give: a PLC, a sensor, or an AI camera from the camera add-on. What our MES and OEE overview describes today:

• Three ways in. Automated machines are read from the PLC. Older machines take a Fabrico IoT device with external sensors. Manual or hybrid steps, such as loading trays by hand, can be counted by AI cameras, an add-on on request (how the cameras work).
• Reasons from the line. Stops come from the signal, and operators add the reason from a tablet or phone. Micro-stops too short to write down are detected from the signal and show up as performance loss.
• OEE and losses in money, per line and per shift, in the browser and in the iOS and Android apps.
• Video when you need it. With the camera add-on, any moment on the shift timeline opens its video. By default the video is streamed on request, not stored in Fabrico.
• Data out: by REST API, by webhook, or as an Excel or CSV file.
• Production planning is on our roadmap, with no release date. Not live yet, and on the roadmap too: a camera add-on that spots stops and jam zones by itself and hints at the likely reason for a stop.
• Your ERP keeps job dispatching, BOMs, routings and genealogy.
• Not Fabrico: pack inspection, and giveaway or fill-weight control.

Ficosota makes hygiene, tissue and household products in Bulgaria. Ficosota is also a Fabrico investor (announcement). Between June and September 2026, monthly good output on its 16 lines in Fabrico rose from 10.49 million to 12.92 million units, and OEE from 53.11% to 59.62%. None of this involves the camera add-on. The Ficosota story has the detail.

Ask in the demo: how an operator marks a changeover, and how the camera add-on's count is checked against a manual tally during a pilot.

Fits plants that mix PLC machines, older machines and manual stations on one line, and want OEE plus the cost of each loss for every shift. For the money view, see our OEE software guide.

Redzone: OEE inside a frontline platform with coaching

Redzone launched with its first customers in 2013 and was acquired by QAD, according to its about page. Its Productivity page describes OEE software built for frontline teams. As of 11.11.2026, its site lists:

• Downtime and throughput collected automatically, timestamped and linked to line, run and asset, with operators adding context.
• Integrations with SAP, Oracle and other systems through Boomi or Snowflake, and a dedicated Redzone coach with an application support team.
• On its homepage: a CMMS, a shop-floor QMS, crew scheduling and ChampionAI, which it says guides the next best action.
• On its CPG page: SPC control charts that catch fill-weight drift, and changeover timers and digital work instructions for high-SKU plants.

Compared with Shoplogix: both pair OEE with modules and AI. Ask both how the assistant or the coaching turns the OEE data into daily actions on the line.

Ask in the demo: how throughput is collected on your oldest machine, and what Redzone's coaching covers.

Fits plants that want OEE delivered with coaching and daily team routines, as its Productivity page describes.

Worximity: sensors, OEE and giveaway control

Worximity pairs real-time production monitoring with its own continuous improvement team, according to its about page. Its site describes, as of 11.11.2026:

• Sensors collect line counts or events and send them to Worximity's IoT device, which forwards them to the cloud (Connect page). Newer machines can be read through PLCs.
• The device needs Wi-Fi or ethernet, a 100 to 240 V power source and a representative digital signal from the machine. Push and pull APIs exchange data with ERP, MES and CMMS systems.
• Its giveaway module page describes weight sampling under Worximity's statistical process control, giveaway and process yield KPIs, and giveaway tracked across the whole product range.
• Its packaging and co-manufacturing page speaks to packaging plants and co-packers.

Compared with Shoplogix: ask both which modules your first line needs, and how giveaway or yield data would reach OEE.

Ask in the demo: which signal each machine gives the IoT device, and how giveaway samples are taken at the filler.

Fits plants that fill by weight and want giveaway and yield next to OEE, as its giveaway page describes.

Vorne XL: an edge device with data behind your firewall

Vorne sells XL, a production monitoring device, described on its XL page. As of 11.11.2026, the page says:

• XL is an edge computing device with a production monitor, a built-in database, browser-based reporting and plant-floor visuals for operators.
• You wire one or two sensors, or tap an existing photo-eye, relay, PLC or proximity switch.
• Data is stored behind your firewall. Built-in reports cover losses such as changeovers and downtime, with email reports and text alerts.
• Operators scan down and reject reasons with a barcode scanner, and any TV or monitor can show the scoreboard.
• Its packaging page describes ideal against average run cycle time by SKU, and takt times or goal counts set by SKU.

Compared with Shoplogix: ask both where production data is stored, and who can reach it from outside the plant.

Ask in the demo: how many devices one line needs, and how reasons are captured at stations without a scanner.

Fits plants whose IT policy keeps production data on site, given what the XL page describes.

Which route fits your plant

• One signal per machine to start, then modules, PROXIA's MES and an AI assistant: Shoplogix.
• OEE with coaching and daily shift huddles: Redzone.
• Weight-filled products, with giveaway and yield next to OEE: Worximity.
• An edge device, with data stored behind your firewall: Vorne XL.
• Lines that mix PLC machines, old machines and manual stations, with OEE and losses in money: Fabrico.

For FMCG plants, our OEE for CPG manufacturing guide covers changeovers and minor stops on high-speed lines. Packaging plants can start from our packaging software map.

Worked example: one shift with four SKU changes

Sample data for one shift on a cartoning line, made up for this page rather than taken from a customer or a product screen. The shift runs 06:00 to 14:00 and a 30 minute break leaves 450 planned minutes. The ideal rate is 120 cartons a minute, so 54,000 cartons are possible.

Four changeovers took 15, 12, 20 and 13 minutes, 60 in total. A 14 minute jam and 16 minutes waiting for cartons added 30. Availability is 360 of 450 minutes, or 80.0%.

In 360 minutes the ideal is 43,200 cartons. The line made 35,640, so performance is 82.5%. Forty short stops of under two minutes explain 30 minutes of that gap, about 3,600 cartons; slow running explains the rest.

The reject station removed 356 cartons, leaving 35,284 good, so quality is 99.0%. OEE is 80.0% x 82.5% x 99.0% = 65.3%, the same as 35,284 good of 54,000 possible.

Two lessons. Changeovers were two thirds of the stop time, so the system must tell a changeover from a jam, by an operator button or by the SKU change. And the 40 short stops land in performance here; some tools count them as availability, so ask where each vendor puts them. More on changeover standards for FMCG.

Before a Shoplogix demo: questions for every vendor

• Which signal counts output on each machine, and what counts the hand-packing table?
• How is a changeover marked: by the operator, by the schedule or by the SKU change in the ERP?
• Which count is the good output: packs at the wrapper or cases at the packer?
• How are targets set per SKU, and who updates them when a format changes?
• Where does the data live, and what happens when the network drops?
• What drives the quote? Lines, machines, sensors, cameras, modules and training. Send all of them one machine list.

A camera at a hand-packing table films the people working there. Talk to the works council before it goes up, and read production line cameras without surveillance. During a pilot, compare the camera add-on's count with a manual tally; camera OEE accuracy explains how. Co-packers can start from computer vision for co-packers; the wider picture is in computer vision for FMCG manufacturing and on our FMCG page.

What plant teams ask next

Who owns Shoplogix?

Constellation Software, since 2017, according to Shoplogix's about page.

Is Shoplogix an MES?

Shoplogix describes a smart factory platform for real-time production data, with add-on modules, and its about page describes PROXIA, its subsidiary, as a German MES software company. Ask which product covers your scope.

Can Shoplogix connect to old machines?

Its site says it works with any machine regardless of age or communication protocol, starting from one part-count signal. Check each of your machine types in the demo.

Does Shoplogix have an AI assistant?

Yes. Its Pulse AI page describes an assistant that answers questions about OEE, downtime, quality, shifts or jobs from your Shoplogix data, with the numbers cited, and says it does not change data or take actions.

How is Fabrico different from Shoplogix?

Both measure stops, speed and output. Fabrico takes the count from a PLC, a sensor, or the camera add-on where a station has no usable signal. Shoplogix describes starting from one part-count signal per machine, with add-on modules.

Want to see OEE and losses in money for a packing line like yours? Book a demo, or send us your question.