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Datup vs Slimstock

Slimstock: What it is, features, pros and cons to consider

Are you considering Slimstock to manage your supply chain? In this guide, you'll get all the information you need to make the right decision. Get to know all the features, reviews and estimated prices you can get on Slimstock.
o9 Solutions Features

Comparison table between Slimstock and Datup

Feature Datup Modern AI Slimstock
Solution Type Artificial intelligence platform for supply chain planning and optimization. Advanced planning suite focused on inventory optimization and forecasting.
Main Focus AI (prediction + prescription) for real-time business decisions. Availability improvement and inventory reduction via advanced rules.
Forecasting Engine Deep learning + adaptive neural networks. Statistical algorithms and traditional business rules.
Generative AI Yes (Alaia, virtual assistant for business decisions and answers). Not available.
Insights Speed Seconds (in dashboards and assistants). Requires manual processes or consultant-guided analysis.
Personalization High: adaptive per client and SKU, without constant manual intervention. Medium: requires detailed initial setup and periodic adjustments.
Implementation Time Fast (weeks) AGILE Long (months).
Alerts & Automation Yes, via WhatsApp, email, or within the platform. Limited or available via dashboards.
User Experience Intuitive, with interactive dashboards, natural language, and exportable tables. Professional but more technical, requires intensive training.
Pricing Model SaaS by modules, data volume, and users. License + implementation (more consultative model).
Consulting Not necessary. Technical and functional support included. Requires dedicated consultants per client.
Flexibility High, adaptable by vertical and industry. More closed structure, though mature.
Key Differentiators Generative AI (Alaia), self-adjusting models per SKU, and adoption agility. High maturity in Europe and solid methodologies like MRP/DRP.

Slimstock: Key Features

Demand forecast

Slimstock has demand forecasting capabilities based on machine learning. It offers forecasts with multiple horizons, segmentation, detection of seasonalities and trends. It also offers real-time alerts to identify problems in time with a user-friendly interface.

For its part, Datup It has the module specialized in demand management which develops various prediction scenarios powered by AI and Machine Learning models, with up to 95% accuracy, taking into account more than 200 external variables, integrating with various sources of ERP, WMS, CRM, TMS or whatever your company requires.

Inventory Management and Optimization

Slim4 helps you to manage and optimize your inventory in an intelligent way. The system automates your stock policies and dynamically calculates key parameters such as safety stock, order points and maximum levels for each location, adjusting to demand volatility, your forecasts, service levels and the conditions of your suppliers. You can optimize your entire warehouse network with multi-echelon capabilities, intelligently assign inventory to your stores or sales channels, and balance stock between warehouses and points of sale.

With Datup, you have a intelligent inventory management system which instantly controls any lack or accumulation of inventory, delivering proposals based on sales projections to avoid problems.

The platform establishes when and how much to buy, taking into account the delivery times of the suppliers and the policies of your company. If you manage several points of sale or warehouses, indicate the most efficient allocation of stock to reduce storage costs and boost cash flow.

On the other hand, it continuously determines the level of safety stock optimal for each item and allows you to define strategies adjusted according to profitability, speed of delivery and the importance of the product.

Purchasing and Procurement Management

Slimstock simplify your purchases and provisioning automatically. The system creates purchase orders taking into account the minimums and multiples of each supplier, the optimal filling of containers and your demand forecasts. This way you centralize planning without losing control over the logistical and commercial conditions of each operation.

It also includes advanced order and supplier management that allows you to prioritize the most critical assortment, adjust your plans when there are capacity restrictions or changes in delivery times, and ensure that your purchases are aligned with your customer service strategy and the profitability of each channel.

Datup has AI-driven sourcing capabilities. In addition, you can plan the supply collaboratively with key teams, but it also provides intelligent suggestions to determine where and when to replenish with the Inventory distribution optimization module, based on accurate forecasts created with Machine Learning and AI.

IBP and S&OP

Slimstock facilitate your processes of S&OP and IBP by centralizing all key information in one place. It connects demand, supply, inventory and business operations data so that all teams work with the same information and on the same scenarios.

You can build unified decision processes, such as complete S&OP cycles with views by product, customer, and channel. The system includes automated workflows that guide you in the preparation, review and approval of plans, integrating forecasts, capabilities and restrictions in a collaborative environment where everyone participates.

On the other hand, Datup with its different modules (Portfolio Classification, Demand Planning, Inventory Management and Optimized distribution) centralizes end-to-end supply chain decisions, integrating planning with inventories, operations, sales and finance. Unlock retained capital and improve service levels with intelligent suggestions based on your real-time operation.

Pros and Cons of Slimstock and Datup

Software Pros Cons
Datup
  • 1. Fast implementation (weeks) allowing immediate results. SPEED
  • 2. Accessible investment (SaaS) with rapid ROI.
  • 3. Integrated Generative AI Assistant (Alaia) for business decisions.
  • 4. Intuitive and modern interface, easy to adopt without technical teams.
  • 5. Prescriptive models suggesting actions for overstock or shortages.
  • 6. High flexibility and automatic personalization per SKU.
  • 1. Less historical track record in Europe compared to legacy solutions.
  • 2. Disruptive approach that may require a mindset shift in very traditional teams.
Slimstock
  • 1. High maturity and recognized track record in the European market.
  • 2. Solid in traditional planning methodologies like MRP/DRP.
  • 3. Robust suite specifically focused on inventory availability.
  • 4. Professional and stable structure for standardized processes.
  • 1. Long implementation (months) and traditional projects. SLOW
  • 2. Pricing model: License + Implementation (costly and consultative).
  • 3. Generative AI not available nor modern virtual assistants.
  • 4. Technical user experience requiring intensive training.
  • 5. High vendor dependency (requires dedicated consultants).
  • 6. Reactive approach (parameter-based) rather than prescriptive.

What are the differences between Datup and Slimstock?

Difference Datup Slimstock
Implementation Time Speed Datup: Agile Implementation

Datup offers a fast implementation time (weeks). Its flexible structure allows for accelerated adoption without slowing down operations.

Does not require dedicated teams or intensive consulting
Duration Slimstock: Long Processes

Projects with Slimstock are more traditional and long (months). Its more closed structure usually requires detailed initial configuration.

Consulting & Support Autonomy Support Included

External consulting is not necessary. Technical and functional support is included, fostering user autonomy.

Vendor independence for daily operations
Dependency Consultative Model

Requires dedicated consultants per client and greater expert guidance to operate, generating higher vendor dependency.

Pricing Model Flexible Datup: Modular SaaS

SaaS model by modules, data volume, and users. Adapts to company growth without large initial capital investments.

Ideal for agility and scalability
Traditional Slimstock: License + Service

Bases its pricing on License + Implementation. It is a heavier investment model, typical of traditional software (On-premise/Legacy).

When to choose Slimstock and when to choose Datup?

Datup is ideal for: Slimstock is ideal for:
Company Profile:
Medium to large companies looking to optimize inventory quickly
Retail and consumer goods needing precise forecasting (Deep Learning)
Manufacturing requiring distribution optimization
Organizations needing short-term ROI (3-6 months)
Teams that value agile implementation and autonomy (without depending on consultants)
Businesses seeking innovation with Generative AI (virtual assistant)
Datup Competitive Advantage:
Adoption agility, speed of insights (seconds), and self-adjusting models per SKU without constant manual intervention.
Company Profile:
Companies seeking mature solutions based on traditional methodologies (MRP/DRP)
Organizations focused on statistical algorithms and robust business rules
Companies with the structure to support long implementations (months)
Enterprises with budget for consultative "License + Implementation" models
Technical teams willing to undergo intensive training for professional use
Businesses that can operate with manual processes or consultant-guided analysis
Slimstock Strength:
High maturity and recognized track record in Europe, offering a solid and standardized structure.

Switching to Datup is easy

1

Connecting to your system

We identify the most efficient type of integration for your operation (API, Data Warehouse or files) and connect directly to your system or other key sources.

2

Structuring and training

We extract data from your system, structure it according to your operation, and train our AI models to deliver accurate and actionable recommendations.

3

Validation and start-up

We provide you with ready-to-use dashboards, with clear and actionable information. We validate with your team that the recommendations fit the operational reality and fine-tune the last details.

FAQs

What's the main difference between Datup and Slimstock?

The difference is in the approach to each tool. Slimstock was created primarily for inventory management and optimization, and then integrated other planning features. Datup, on the other hand, was born natively as an AI analytics platform for demand and inventory planning, focusing on advanced artificial intelligence models, which aims to make better business decisions based on data.

Is Datup cheaper than Slimstock?

Indeed, Datup offers a more accessible licensing model than Slimstock. Datup has scalable plans that allow growing companies to access cutting-edge forecasting technology without making a large investment.

In how many weeks do you see the first results?

Using Datup, companies typically obtain the first measurable benefits 4 to 8 weeks after implementation, thanks to their agile onboarding process. Slimstock, due to its greater complexity and high level of customization required, normally takes 2 to 4 months of implementation and up to 6 weeks of use after start-up to see tangible results in your operation.

Does Slimstock integrate with ERP?

Yes, both Datup and Slimstock have integrations with the main ERPs in the market such as SAP, Oracle, Microsoft Dynamics and others.

Does Slimstock have a conversational assistant like Datup?

No, Slimstock doesn't have a conversational virtual assistant comparable to Alaia from Datup. The Slimstock system focuses on traditional interfaces with control panels, customizable reports and specialized modules that require manual navigation, without a co-pilot assistant,
Supply Chain Analytics
Datup integrates your data and uses deep learning to predict demand (95%+ accuracy), analyze your inventory, and calculate reorder points, prioritizing your purchases based on location and strategic products.
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