Flowlity vs Relex: key differences in 2026

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Anyone comparing Flowlity vs Relex is weighing two capable, retail-focused AI planning platforms that now overlap across much of the retail planning stack. Relex earned its reputation with the largest retailers, planning at store level across thousands of stores and fresh-food ranges.

For Supply Chain directors, demand planners and category managers in mid-market retail, distribution and industry, the real question is narrower: which scope fits the business, and how much of the daily planning should the software run on its own?

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Relex and Flowlity in brief

Relex in brief

Relex Solutions is a unified retail and Supply Chain planning platform used by companies in more than 60 countries, and it positions itself explicitly as AI-native. Its distinctive strength is depth at store level, the kind of shelf-level planning a grocery chain needs across thousands of stores and fresh-food ranges. Its scope runs end to end across retail:

• demand forecasting and replenishment
• merchandising, space and assortment, and planograms
• pricing and promotions
• supply and production planning

Public reference customers include Coop Denmark, Franprix and Morrisons, and the platform is widely credited for the depth of its store-level and fresh-food capabilities. On G2, Relex holds a 4.6/5 rating across 21 reviews.

Flowlity in brief

Flowlity is an AI-native Supply Chain planning platform built on a simple conviction: more than 95% of a planner's routine work can and should be automated. In practice, the engine:

• produces a predictive, probabilistic demand forecast per item, a range of likely demand rather than a single number
• sizes safety stock dynamically against that uncertainty
• automates supplier orders
• increasingly uses AI agents (agentic AI) to handle routine decisions and surfaces only the exceptions that need a human, in an interface designed for Supply Chain teams to use without specific training

Flowlity first built its base in manufacturing and spare parts. Its shift toward retail and e-commerce is now confirmed by new retail logos such as JouéClub and by dedicated retail features released in 2026: pricing optimization, promotion management and assortment planning.

Reference customers span retail, industry and distribution, including Sport 2000, Camif, Saint-Gobain and EDF. Flowlity holds a 4.9/5 rating on G2 across 9 reviews and was named a Gartner Cool Vendor in Supply Chain in 2025.

Retail planning scope: where the two platforms overlap

A year ago the short summary was breadth against depth. That has changed: Flowlity has widened its retail footprint, and the two platforms now overlap across most of the retail planning stack:

• demand forecasting
• inventory optimization and store replenishment
• pricing and promotion optimization
• assortment planning

Where Relex still goes further is at the shelf: merchandising, planograms, and space and assortment planning tuned for retailers running thousands of stores and fresh-food ranges. For that kind of store-level complexity, Relex's depth is a genuine fit.

For mid-market retailers and e-commerce operations that need the retail planning stack without shelf-level 3D across a very large estate, Flowlity now covers the same ground with a lighter footprint. So the first question is simply how much store-level merchandising depth the business actually needs.

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Automation and the AI Co-planner: how much the software runs on its own

The sharpest difference between the two is less a feature checkbox than how much of the daily planning the software takes off the team. Flowlity is built to automate the majority of routine planning: it sizes buffers, proposes supplier orders and surfaces only the exceptions that need judgement, so a small team can run a large scope.

The Flowlity Co-planner extends that further. It connects live Flowlity data to the AI assistants planners already use, Claude, ChatGPT or Copilot, so instead of switching between tabs and dashboards, a planner can:

• ask a question about stock, forecasts or KPIs in plain language
• stress-test a promotion before committing to it
• accept a recommended order from a single chat

Because it is built on the Model Context Protocol, an open standard, the same conversation can also reach a CRM, an ERP or a set of spreadsheets, with every action running against real data under the planner's existing permissions.

Relex also invests in automation and agentic AI, delivered as AI agents inside its own unified suite, which many large retail teams prefer as a single environment. The difference is less whether each has AI agents than where they run: Flowlity's operate inside the assistants and systems a planner already uses, while Relex's run within its own platform.

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Forecasting and replenishment: where the platforms meet

On the capabilities most mid-market buyers actually shortlist for, demand forecasting and store replenishment, the two platforms sit closer than their brand profiles suggest. Practitioners who have run both describe the planning and parameterization experience as broadly comparable.

Relex draws consistent praise for the polish of its workbench and the depth of its retail replenishment logic. Flowlity leans on exception management: rather than asking a planner to scan every item, it surfaces the anomalies that need a decision and routes them through a guided workflow.

Both reach the same goal of a reliable replenishment plan. They differ in how much of the daily scan the system takes off the planner's desk, which is where a product evaluation on a buyer's own data separates the two more than a brand evaluation does.

Budget: matching spend to complexity

Price often decides a mid-market shortlist, yet neither vendor publishes list pricing, so any figure depends on scope.

As a large-enterprise suite, Relex is generally the heavier investment: its breadth, store-level merchandising, planograms, space and assortment, is built for retailers that use those modules across thousands of stores. A mid-market retailer or manufacturer that does not run that complexity can end up funding modules it never switches on.

The practical test is fit: match the spend to the scale a company actually operates, and validate total cost in a real RFP rather than on a feature list.

Deployment and time-to-value: from weeks to multi-quarter programs

Licence cost is only part of the total. A large-enterprise suite implies a large-scale program: longer timelines, heavier IT involvement, and systems-integrator support to configure the breadth of modules.

Flowlity is built around a data-model-first approach, with pre-built data cleaning and automated tuning, which compresses the path to a working plan. In practice this ranges from a few weeks to a few months depending on scope:

• Small and mid-size businesses have a dedicated, plug-and-play option in Flowlity Lite, which is unusual in a market built mostly for large enterprises: Supply Caddy generated its first AI forecasts immediately after signing and was live in under two weeks.
• Plum Living, a direct-to-consumer furniture retailer, went live on Flowlity Core in three months, and the dynamic buffers calibrated during the rollout cut inventory 21% at go-live.

A dedicated customer success manager accompanies the deployment from the first week, which answers the common mid-market worry of being left to operate a new system alone.

Flowlity vs Relex comparison table

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Which platform fits which company

Companies running the largest retail estates, thousands of stores, fresh-food ranges, shelf-level space and assortment, and promotion mechanics tied to store layouts, will find Relex a strong match. The depth of its suite is built precisely for that complexity.

Mid-market retailers, e-commerce operations, wholesalers and manufacturers that want the retail planning stack with most of the routine work automated, and without a multi-quarter program, tend to fit an AI-driven demand planning approach like Flowlity, run in-house and extended by the Co-planner. Smaller businesses that want the same AI engine without a full rollout have a dedicated, plug-and-play entry point in Flowlity Lite, an option a large-enterprise suite like Relex does not set out to serve.

The deciding factor is rarely which engine forecasts better on a slide. It is how much store-level merchandising depth the business needs, and how much of the planning it wants the software to run on its own.

Ready to compare Flowlity on your own data? Book a demo.