Retano SCM Demand forecasting & Replenishment solution
The full replenishment cycle, from raw sales data to approved orders, powered by AI
Ask AI about Retano SCM
Less Manual Work. More Profit.
Retail supply chains generate thousands of ordering decisions daily. When these decisions rely on manual processes, the result is predictable: out-of-stocks, excess inventory, and avoidable write-offs. Retano SCM automates the entire replenishment cycle, from cleaning and analyzing sales data to calculating order quantities and submitting orders for all stores and distribution centers.
Why Retailers Choose Retano SCM
Retano SCM is a SaaS-based solution that automates inventory management and replenishment for retail chains, powered by machine learning and big data analytics.
Suitable for retailers of any size, format, and product range seeking rapid improvement in supply chain quality.
Quick Launch. Fast Results.
Deployed in 3–6 months. Documented results include reduced out-of-stocks, lower average inventory, and fewer product write-offs within the first few weeks of launch.
No additional hardware or server infrastructure needed.
Compatible with any ERP solution used by retailers.
Seamless integration without requiring changes to merchandising, store management systems, or WMS.
Full-cycle Automated replenishment
The system independently and automatically, every day:
- Cleans and analyzes sales and inventory data.
- Forecasts demand with consideration for seasonality, promotions, trends, and holidays.
- Calculates the optimal order quantity for each item.
- Adjusts orders based on actual stock levels and expiration dates.
- Generates ready-to-send orders, approved automatically on schedule or confirmed by a manager.
Retano SCM calculates order quantities from demand forecasts, lead times, pack sizes and shelf-life constraints. Products stay available, and inventory stays at the level needed to meet target service levels.
up to 100%
of orders processed automatically, without manual input
Manual intervention is only necessary for exceptions. What’s more, the system pinpoints the precise areas requiring attention.
Leonardo: Built-in AI Assistant That Makes Every Replenishment Decision Transparent
Retano AI-assistant is designed to transform complex supply chain tasks into transparent, repeatable, and high-quality decisions.
Leonardo shows which demand parameters, safety stock values, and supply chain constraints shaped each order quantity. The assistant aggregates daily alerts by root cause, rather than flooding the team with individual notifications, and answers questions about replenishment logic directly in context, without switching to another system.
What Leonardo changes for the Operations Team
- Prioritized Focus: The assistant generates a daily alert summary, pinpoints the most critical issues, and helps your team quickly determine priorities.
- Reduced Workload: By automating analytical breakdowns and providing instant rationale, the assistant supports the main SCM operational scenarios and significantly reduces the workload on the team.
Supply Chain Challenges Retano SCM Solves
Reducing Out-of-Stocks and Lost Sales on Every Shelf
Gaps on shelves reduce sales, and short-shelf-life products are hit hardest. Over time, items that are often out of stock drop out of the active assortment. Retano SCM calculates replenishment at SKU–store level from current inventory, shelf life and delivery frequency, so availability holds between deliveries. Fewer out-of-stocks lift fill rates and revenue. They also cut write-offs and protect the assortment.
SPAR: documented results
−19%
inventory
−74%
out-of-stocks
Inventory Optimization: releasing tied-up working capital
Excess inventory locks up working capital and drives up write-off rates at the same time. Retano SCM aligns order quantities to actual demand forecasts, so stock stays at the level the shelf actually needs. As inventory stays lean, fewer products reach their expiration date, which means fewer write-offs. The result is freed-up working capital and lower losses, without compromising shelf availability.
Logistics Cost Reduction Through Precise Order Sizing
Retano SCM coordinates replenishment for both stores and distribution centers, accounting for lead times, pack multiples, cut-off times, and DC inventory positions. Precise order sizing supports cross-docking and pick-by-line operations and reduces delivery frequency and transportation costs.
Fewer manual corrections, consistent performance regardless of team expertise
Retano SCM handles routine ordering decisions automatically, reducing manual corrections to exception handling. The system tracks supply chain KPIs in real time, so the whole team sees how replenishment performs. New team members work with the same replenishment quality as experienced specialists from day one, because the ordering logic resides in the system rather than in individual expertise.
Core Capabilities
Demand Forecasting: clean data as the foundation of accuracy
- Retano SCM builds forecasts on sales data cleaned from out-of-stock periods, anomalies, and promotional distortions. Seasonality, holidays, and predictable events are modeled explicitly rather than excluded, so the baseline forecast stays stable when they recur.
- A multi-level approach combines category-level trend detection with SKU-level modeling. For products with limited sales history, including new items, the system automatically identifies analogues and uses their demand patterns as a basis for the initial forecast.
The system evaluates multiple forecasting models per SKU and applies the most accurate one without manual configuration.
Machine Learning Models that continuously learn from Your Data
Retano SCM applies machine learning models continuously updated as new transaction data arrives. The algorithms are adapted to retail’s operational conditions across all sales channels:
- Refine forecast accuracy over time as the system processes more data from your operations.
- Apply channel-specific logic for stores, e-commerce, wholesale, and marketplaces.
- Select demand analogues for new products automatically, so replenishment starts correctly before sales history accumulates.
- Calculate promotional demand separately, accounting for discount depth, display placement, and seasonal context, without distorting the baseline forecast.
Models adapt to your assortment and sales patterns, and accuracy improves with every replenishment cycle.
Ready to automate replenishment, reduce out-of-stocks, and release working capital tied up in excess inventory?
FAQ
How is Retano SCM positioned among supply chain management solutions for retail?
Retano SCM is widely recognized by retailers as a high-performance supply chain management solution in a number of Central Asian and European markets. It is chosen by medium and large retail chains operating in complex, multi-store environments where accurate demand forecasting, automated replenishment, and end-to-end inventory control are critical. Its position is shaped by proven production deployments, measurable business results, and the ability to scale across hundreds of stores, product categories, and sales channels.
How does Retano SCM handle very large assortments and high SKU volumes in retail chains?
Retano SCM is designed to work with high data volumes and frequent recalculation cycles typical for large retail chains. The system processes detailed sales and inventory transactions at SKU–location level, applies scalable forecasting and replenishment logic, and supports stable daily calculations across hundreds of thousands of items without performance degradation.
The system is optimized for high data volumes and frequent recalculation cycles typical for large retail chains.
How does the system manage seasonality, promotions, markdowns, and clearance in demand forecasting?
Retano SCM builds demand forecasts on normalized historical sales data that is cleaned from out-of-stock periods, anomalies, and promotional distortions. Regular (baseline) demand is forecast separately, while seasonality and predictable events such as holidays are explicitly modeled rather than removed. Promotional activity (including discount-driven, markdown, and clearance scenarios) is incorporated through promotional uplift calculations applied only for the relevant periods, ensuring that temporary demand effects do not distort regular demand forecasts.
How does the system prevent promotional cannibalization from causing over-ordering after promotions?
Retano SCM prevents promotional sales shifts between products from affecting future replenishment decisions. By isolating promotion-driven demand from regular demand, the system avoids inflating forecasts and order quantities after promotions end. This protects replenishment planning from over-ordering caused by temporary demand redistribution between products during promotional periods.
How does system manage forecasting and replenishment for fresh and short-shelf-life products?
Retano SCM combines demand forecasting with shelf-life–aware replenishment logic for fresh and short-shelf-life products. Forecasts are adjusted during order calculation by excluding inventory that cannot be sold before expiration and by adapting order horizons to delivery frequency and remaining shelf life. This approach helps maintain availability while reducing waste and write-offs for perishable goods.
How does Retano SCM coordinate replenishment between stores and distribution centers?
Retano SCM coordinates replenishment between stores and distribution centers by calculating demand and replenishment needs at SKU–location level across the entire supply chain. The system takes into account store demand, available inventory at distribution centers, delivery schedules, and internal supply flows. Distribution centers can act as buffers for regular replenishment and promotional demand, while replenishment decisions are generated automatically and users focus mainly on resolving exceptions rather than creating routine orders.
How does the system manage safety stock and reorder parameters in a retail environment?
Retano SCM automatically calculates safety stock and reorder parameters based on demand forecasts and real operating conditions. The system continuously adjusts reorder points and target inventory levels by considering demand variability, delivery lead times, replenishment frequency, current inventory, and shelf-life constraints. This allows retailers to maintain high availability while avoiding excess stock and manual parameter tuning.
How is inventory allocation handled during supply shortages or constrained supply scenarios?
Retailers using Retano SCM supports inventory allocation during supply shortages by distributing limited stock across the network based on demand forecasts, current inventory levels, and predefined supply chain rules. The system helps balance availability between stores and distribution centers, reducing the risk of critical out-of-stock situations and supporting consistent service levels when supply is constrained.
What business results and time to value can retailers expect from the system?
Retailers typically start seeing measurable benefits early in the rollout phase. Documented results include reduced out-of-stock levels, lower write-offs for fresh products, freed-up working capital, and fewer manual interventions in replenishment. These results emerge as core replenishment processes are implemented and stabilized across the network.
Publications
Yovar Opens Tajikistan’s First SPAR Store on Retano
Yovar has opened Tajikistan’s first SPAR supermarket in Dushanbe. The store runs on Retano ERP and Retano CRM & Loyalty, as do Yovar’s other stores.
Altyndar Selects Retano Shelfplan for 42 Supermarkets in Kazakhstan
Altyndar, a supermarket chain in Kazakhstan that runs on Retano ERP, has selected Retano Shelfplan for 42 of its stores.
Umai Retail introduces new AI tools in Retano SCM for demand forecasting and replenishment
Umai Retail, the largest FMCG operator in Kyrgyzstan, is introducing new tools in Retano SCM: the Leonardo AI assistant, a control panel for demand forecasts, event and promotion planning, and local assortment management for stores. About Umai Retail Umai Retail is part of the Umai Group holding. It operates more than 170 stores under the… Read More »Umai Retail introduces new AI tools in Retano SCM for demand forecasting and replenishment