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stock.solutions

Optimize inventory, minimize stockouts with predictive purchasing planning.

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ARCHITECTURE SOLUTION 

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RECOMMENDATION ENGINE RESULT
Purchase suggestions are generated for each SKU / Location / Supplier

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PERFORMANCE

Volume of purchaseS

What is our purchase volume?
What are our key purchasing categories?

How do we save money?

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PERFORMANCE

STOCK VS PURCHASE

Alarms by Location and SKU
Availability vs Gaps
Price Variations
KPI by Frequency

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DEMAND PREDICTION

PRODUCT MONITORING

Purchase Recommendation

Product Classification Matrix
Sales Average by Value & Units 
Stockouts ratios, Lifetime

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DEMAND PREDICTION

WEEKLY AND EVOLUTIONARY MONITORING

Purchase amounts suggested by each Supplier
Products Status
Weekly and evolutionary analysis

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DEMAND PREDICTION

PERFORMANCE MONITORING

Status of Recommendations
Accepted with or without changes
Recommendation vs. Actual Order

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IMPLEMENTATION IN STAGES ACCORDING TO ROTATION

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The segments with higher turnover/contribution should statistically be easier and more accurate in predictive models due to the larger sample size of their behavior.

 

Medium-turnover segments with seasonality require more complex predictive models.

 

Low-turnover segments are typically managed with replenishment alarms.

SETUP STAGE

INTEGRATION

01. Survey of current purchasing processes

 

02. Installation of the platforms necessary for work on the company's infrastructure or Cloud.

03. Integration of the different data sources of information. Data cleaning and grouping.

DIAGNOSIS

01. Product and Channel Segmentation

02. Product Classification

 

03. Development of analytical panels for the analysis of Inventory Management Diagnostics and Product Segments

MODELS

01. Development of the Forecasting model applying different advanced analytics techniques depending on the rotation and other factors.

 

02. Safety Stock KPI calculations by Product and Location, specifying the suggested purchase from the supplier

implementation

01. Development of analytical panels for monitoring purchase orders and acceptances by suppliers. ​

 

02. Pilot test.

 

03. High Rotation Products. Adjustments. Integration of model results into the ERP (by the client)

*  This is the first complete iteration (SETUP), in the following iterations (RUN), the other SKUs will be added progressively according to the planning.

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EXPECTED RESULTS

The purchase recommendation ENGINE will be executed daily

The result will be a list of suppliers with the following columns:

  • Sales from the previous week

  • Current inventory (stock days calculation)

  • Recommended purchases by SKU and LOCATION. ​

The recommended purchases will consider: ​

  • Minimum purchase amount established by the supplier per location

  • Stock days / safety inventory defined for each SKU

  • Purchase multiple by SKU (defined by the supplier)

  • Other factors.

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OPTIONAL MODULE FOR YOUR SUPPLIERS

an efficient assortment is good business for the entire value chain

The goal is to provide your suppliers with an analysis platform that allows them to:

 

  • Offer structured information on product rotation

  • Access purchasing recommendations based on predictive calculations.

  • Analyze product category trends.

  • Identify market opportunities and new businesses

  • Understand the impact of competitors' actions, allowing them to react quickly

  • Access data, download it and incorporate it into their existing BI systems or management systems 

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SUCESS STORY

BIGGIE & DON VITO

We’ll show you how our Stock Solutions product enabled two companies to collaborate more effectively, streamline inventory management and processes, while saving both time and money.

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READY TO OPTIMIZE YOUR INVENTORY?

Fill out the form now and a consultant will get in touch.

Solutions that incorporate algorithms that allow business problems to be optimized.

STOCK.SOLUTIONS

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Pitiantuta 189 c/Mcal Lopez
Edificio Contenedores. 4º piso. Bloque A.

Asunción, Paraguay

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Pitiantuta 189 c/Mcal Lopez
Edificio Contenedores. 4º piso. Bloque A.

Asunción, Paraguay

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