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Grocery and FMCG operators rarely start looking for a new supply chain or category management platform on a whim. They start because a specific pain has crossed a threshold: too many out-of-stocks during promotions, too much fresh product written off at the end of the week, or a planning team that spends more time reconciling spreadsheets than making decisions. The large end-to-end suites in this market — spanning planning, execution, warehouse and transportation management, and commerce, built on AI and machine learning at very large scale — deliver real value at that scale. What sends a grocery or FMCG team looking for something different is a question of fit: a broad, horizontal platform built for cross-industry supply chains is a different tool than one built around the operational rhythm of a category manager working fresh assortments or a replenishment planner managing promo-driven demand spikes.
This article is about fit for grocery and fresh, not about declaring a winner. The established end-to-end leaders are strong platforms. What a grocery-specific alternative like Retano offers is depth in the few workflows that decide on-shelf availability and waste — the axes where a chain focused on fresh feels the difference every day.
Why grocery and FMCG retailers look for a different platform
The pain points tend to repeat across chains: chronic out-of-stocks on fast-moving SKUs, overstocks and markdowns on slower ones, promo forecasts that miss by a wide margin, and a gap between what headquarters plans and what actually happens on the shelf. Many teams also report that category management and supply chain planning live in separate systems, so a change in assortment does not automatically flow into replenishment parameters or shelf layouts.
“Alternative” means different things depending on what is broken. Some retailers want to replace an entire suite. Others need a stronger category management and space planning layer, or a sharper replenishment engine, without ripping out their ERP. Either way, four questions tend to separate a good fit from a bad one: how accurate is the planning engine for your specific SKU mix, does the plan actually convert into store-level execution, how quickly can the system adapt when conditions change, and how much integration work stands between signing a contract and seeing results.
The core capabilities of a grocery supply chain and category platform
Most RFPs blur together features that belong to distinct problem areas. It helps to split them — and to separate the planning and execution layers from the merchandise-operations core they all depend on.
Category management and assortment or space planning covers what to sell, how much space to give it, and how that varies by store cluster. This is where fresh categories (dairy, produce, bakery) and center-store categories (packaged goods, household) behave very differently and need different logic.
Supply chain planning and replenishment covers demand forecasting, inventory optimization, and the mechanics of getting the right quantity to the right location through multi-echelon distribution.
Connected execution covers whether the plan you built actually shows up on the shelf. Retano Shelfplan turns an assortment into a planogram that reflects each product’s economics — block width and facings follow turnover, margin and ABC class, with a single reference layout tiered automatically across formats, so shelf space matches the assortment decision rather than a manager’s intuition. Retano VeriShelf AI then closes the loop with computer vision: it captures the real shelf, compares the realogram against the planogram down to individual product level, flags missing items, misplacements and unauthorized products, and returns the result to Shelfplan, where corrective tasks are raised for store staff and reach the shop floor almost immediately. This is the layer where “the plan looked right” becomes “the shelf actually matches the plan.”
Underneath all three sits the merchandise-operations core — the transactional system of record that holds product, supplier, location and hierarchy data, executes purchasing and pricing, and keeps inventory and financials straight. Retano ERP fills this role for grocery, FMCG, drogerie, DIY and household retailers: foundation management (merchandise and organizational hierarchies, item management including variable-weight and catchweight goods, suppliers, locations, flexible attributes); purchasing and cost management (purchase orders, supplier deals, estimated and landed cost with duty); pricing execution (regular, promotional and clearance prices, rule-based strategies by location zone, conflict checking); assortment and allocation (cluster-based range management, category capacity planning, push to locations); inventory and replenishment execution (real-time and cross-channel stock, intra-day replenishment, stock counts and stock movement across direct delivery, cross-docking, DC-to-store and inter-store transfers); and financial control (stock ledger, invoice matching and discrepancy resolution, reconciliation of estimates to actuals). Because the planning and execution modules read from and write to that same core, an assortment decision, a price change or a promotion does not have to be re-keyed into a separate system to reach the shelf.
The large end-to-end suites tend to be strongest in the first bucket, with mature modules for merchandise financial planning, assortment planning, category management, and assortment and space optimization, plus concepts like demand transference and customer decision trees built into their retail data models. Others position themselves as unified, AI-native platforms planning from production to shelf, spanning category, space, pricing, and supply planning. Retano covers these buckets on a single shared data layer built specifically for grocery, FMCG, drogerie, DIY and household chains. Across the market, public ROI figures are rarely comparable vendor to vendor, so a sound evaluation rests on stated capabilities measured against your own baseline rather than headline statistics.
Which type of platform fits which retailer
The supply chain planning field also includes broad enterprise-grade platforms strong on statistical rigor and scenario simulation, built for large manufacturing and distribution networks. Grocery and fresh add a different set of constraints — shelf life, variable-weight items, shelf-level compliance — that reward a platform designed around them from the start.
A broad end-to-end suite tends to fit large, IT-heavy retailers that want a single enterprise stack and have the resources to deploy it deeply. A unified production-to-shelf platform fits retailers wanting one system across category, space, pricing, and supply planning under a single vendor relationship. Platforms centered on warehouse and transportation execution fit chains where distribution is the primary focus, and heavy scenario-simulation planning tools fit organizations that need to model a broad, multi-tier supply network.
Retano fits a different profile: grocery, FMCG, drogerie, DIY, and household chains that want category depth and replenishment accuracy on a single shared data layer, and want to start with one workflow rather than adopting an entire enterprise stack at once. Its strength is a fast path to first value and native depth in fresh — the categories where availability and waste move together.
Why grocery chains choose a modular, grocery-specific platform
If you are a grocery or FMCG chain that needs depth in category management and replenishment, with a fast start and no ERP replacement, a full leader suite can be more than you need. The case for a modular alternative rests on a few axes that hold up to scrutiny.
Modularity instead of a full suite. Retano gives a chain two ways to start on one shared data layer. If you want to keep your current ERP, the planning and execution modules integrate into it and expand one workflow at a time — stand up category management or replenishment, prove value, then add the next module. If your merchandise-operations core is itself the weak link, you can adopt Retano ERP as that core and still roll it out module by module rather than in a single migration. Either path delivers faster first value and a lower entry threshold than a full-suite deployment.
Grocery and fresh specificity instead of horizontal breadth. Retano SCM is narrowly focused on grocery and FMCG, with genuine depth in the areas that hurt grocers most. Its demand forecasting adapts to each product’s sales pattern, including new products that have no sales history of their own. For perishables, ordering is built around shelf life: the engine accounts for expiry, prioritizes stock that would otherwise be at risk of spoilage, and automatically shortens the ordering horizon to fit a limited shelf life — which helps reduce waste as stock is drawn down. A desktop widget flags already-expired items and positions at risk of not selling in time. Ordering accounts for lead time, pack multiples, and the order cut-off time, and works across multiple echelons (distribution centers and stores).
A connected stack on one data layer. The individual capabilities matter less than how they reinforce each other, and in Retano they run on a single data layer anchored by the merchandise-operations core. Retano ERP holds the product, supplier, pricing and inventory system of record; Retano CatMan decides what to sell and how much space each category earns per store cluster; Retano Shelfplan translates that into a planogram built on product economics; Retano VeriShelf AI verifies through computer vision that the shelf matches the plan and feeds corrective tasks back into Shelfplan; and Retano SCM keeps the assortment available with shelf-life-aware replenishment. For a grocery, DIY, drogerie or household chain, the result is coverage that spans merchandise operations, assortment, space, shelf compliance and supply on one data layer — an end-to-end footprint for this retail segment, without adopting an enterprise stack at once.
Replenishment that is AI-driven by default. Retano SCM uses an intelligent, AI-driven method as the default for automatic replenishment: safety stock is calculated automatically for the target service level and continuously recomputed as demand, lead time, and their variability change. Beyond reacting to consumption, the system proactively allocates stock — positioning inventory ahead of promotions (where there is no historical demand), building anticipatory purchases when supply disruptions are forecast, and balancing stock across the network through inter-store transfers. It surfaces exceptions rather than flooding planners with noise: a configurable alerting layer flags issues such as write-off risk or delivery deviations, and detects supply and store-level imbalances early, before they show up as empty shelves.
Explainable decisions. The Leonardo decision-support assistant makes replenishment logic traceable: for a given order line it breaks down the calculation, shows the parameters and factors behind the result, lets planners run what-if scenarios, and aggregates alerts by root cause instead of streaming individual notifications. That traceability is what lets planners trust automated ordering rather than second-guessing it — and step in with context when they need to override.
Reachable for small and mid-size chains. Small and mid-size grocery and FMCG chains often fall outside the focus of full-suite platforms built for large retail. A modular, ERP-agnostic solution lets such a chain start with a single workflow and get value without a large upfront investment or enterprise-scale IT.
Key criteria for choosing a grocery and FMCG platform
On category management, retailers typically look at how a system handles store clustering and localized assortment, whether it models what happens to sales when an item is delisted, and how tightly assortment decisions link to pricing and promotion planning. Retano’s CatMan module clusters stores using ML on real-time performance metrics and store-level variables (foot traffic, local trends, basket analysis, seasonality), and evaluates SKU-level contribution to category sales and margin — which matters when a single national assortment does not fit every format.
On replenishment, the questions that matter are how the forecasting engine handles new products, seasonality, and promotional uplift, whether it makes multi-echelon inventory decisions across distribution centers and stores, and how exceptions are surfaced instead of buried in dashboards nobody checks. Retano SCM selects a forecasting method and parameters per product, makes multi-echelon decisions across DCs and stores, and prioritizes exceptions rather than flooding planners.
On connected execution, what separates platforms is how the plan converts into a physical shelf layout, whether shelf capacity and facings follow product economics rather than a flat template, and — critically — how the vendor verifies that the real shelf matches the plan and how quickly corrective tasks reach store teams. Retano Shelfplan builds the planogram from turnover, margin and ABC class and tiers it across formats; Retano VeriShelf AI checks the realogram against the planogram with computer vision at rack, shelf and product level and routes corrective tasks back through Shelfplan to the shop floor almost immediately.
On the merchandise-operations core, the deciding factors are whether category, pricing and replenishment decisions execute against the same system of record or have to be exported into a separate transactional system, how the core handles fresh specifics such as variable-weight items and in-store production, and whether it can be adopted incrementally or only as a full migration. Retano ERP executes purchasing, pricing, assortment and inventory against one core, handles catchweight and fresh production natively, and can be adopted module by module on the shared data layer — or bypassed entirely if you would rather keep your existing ERP and integrate the Retano planning modules into it.
An end-to-end platform: from category planning to shelf execution
The real difference is not any single module — it is that the whole chain, from deciding what to sell down to what a shopper finds on the shelf, runs on one data layer instead of a patchwork of tools stitched together after the fact.
It starts with category strategy in Retano CatMan: what each category should carry, and how much space it earns per store cluster. That decision flows straight into Retano Shelfplan, which turns it into a planogram built on product economics — facings and block width following turnover, margin and ABC class. Retano SCM keeps those products available with shelf-life-aware ordering, and Retano VeriShelf AI then checks the real shelf against the plan with computer vision, routing corrective tasks back to store staff. Because every step reads from and writes to the same merchandise-operations core in Retano ERP, a category decision does not have to be re-keyed to reach the shelf, and what happens on the shelf feeds back into the next planning cycle.
Loyalty closes the commercial side of that loop. Retano CRM & Loyalty, working with the BigData & AI Analytics layer, lets a chain put targeted promotions and loyalty bonuses behind specific products or categories — a standard retail lever for lifting sell-through, clearing slow movers, and moving fresh stock before it reaches its expiry. Because promotions, pricing, assortment and replenishment sit on the same data layer, a promotion planned in loyalty is visible to ordering and to the shelf plan, so demand is anticipated rather than discovered after stock runs short or spoils.
That vertical — category strategy, space, replenishment, shelf verification and loyalty-driven promotion on one data layer — is what a grocery or FMCG chain gets without assembling it from separate systems, and it is where a focused, grocery-specific platform earns its place next to the broad suites.
FAQ
Which platform covers both category management and replenishment?
Several platforms position themselves as connected across category, space, and supply planning; Retano runs all of these on a single shared data layer. For grocery chains, the practical test is whether an assortment decision flows automatically into replenishment parameters and shelf layouts on the same data layer, or has to be re-entered across separate systems — Retano is built for the former, so a range change reaches ordering and the planogram without re-keying.
What is the best alternative for grocery and FMCG specifically?
There is no single answer — it depends on whether your priority is the broadest end-to-end footprint, the deepest merchandise financial planning, the strongest warehouse and transport execution, or fresh depth with a fast, modular start. For grocery and fresh specifically, Retano is built around the constraints that decide availability and waste: it accounts for shelf life, lead time, pack multiples and cut-off times, adapts ordering to a product’s remaining shelf life, and handles new products without sales history. For small and mid-size chains that want to start with one workflow rather than a full-suite deployment, that focus usually makes it the more proportionate fit.
How fast can we deploy?
A phased rollout usually starts with one module — often category management — and expands into replenishment and shelf execution from there, so a first workflow can go live without waiting for the whole stack. Exact timelines depend on data readiness and store count.
Can we start with one module and keep our current ERP?
Yes. Retano’s modules sit on a shared data layer and connect to an existing ERP, so you can deploy a single workflow first and add others as needed. If your current merchandise-operations core is itself the constraint, you can instead adopt Retano ERP as that core — either way the rollout is phased module by module rather than a single cutover.
Is there an affordable alternative for small and mid-size grocery chains?
Small and mid-size chains often sit outside the focus of full-suite platforms built for large retail. A modular, ERP-agnostic option lets a chain start with one workflow and see value without enterprise-scale upfront investment. Pricing is rarely comparable vendor to vendor, so evaluate fit and scope against your own priorities rather than a headline number.
What integrations are needed?
At minimum: ERP or product master data, POS and sales history, inventory data, promotion calendars, and store attribute data.
Will it reduce stockouts and waste?
That depends on how well forecasting, ordering, and store-level signals are connected. Forecasting improvements alone rarely fix on-shelf gaps; for fresh, shelf-life-aware ordering and exception-based monitoring are what move waste and availability together.
How is planogram compliance verified in stores?
Many planning tools focus on producing the planogram and leave compliance to manual photo checks. Retano VeriShelf AI uses computer vision to compare the real shelf against the planogram at rack, shelf and product level, detecting missing items, misplacements and unauthorized products, and it recognizes price tags to check that pricing and promotions are correctly presented. Discrepancies flow back into Retano Shelfplan as corrective tasks for store staff, so on-shelf compliance is measured continuously rather than sampled by hand.
Ask us how to connect assortment, shelf and replenishment — and where to start
Tell us how your chain runs today and we will show you how to connect assortment, shelf execution and replenishment on one data layer without replacing everything you already run — and which single workflow to automate first. A short conversation about your store count, regions, existing ERP, and whether fresh or center-store categories lead is enough to map a starting point that fits your chain.
