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Astor: RS.SCM

Product
Developers: Astor
Technology: SCM,  SaaS - Software as service


The industry solution of RS.SCM is the tool intended for control automation by supply chains in retail networks of any size and a format.

Advantages of RS.SCM

  • Decrease in dependence on a human factor. Unlike an automated system, even the best manager of a supply chain will not be able equally to show good results on a long interval of time and on large volumes of data.
  • High-quality forecasting. The specialized methods of a pronozirovaniye developed by world famous mathematicians and applied by world leaders of retail allow to build the forecast of consumer demand, but not sales of goods.
  • High performance. Automatic instruments of replenishment of a trade inventory, are focused on the large volume of data of retail.
  • Simplicity of implementation. RS.SCM is the shrink-wrapped software product completely ready to use, and having all functionality, necessary for successful work.
  • Fast start. The model of service SaaS allows to start without the need for acquisition and setup of the server hardware and the accompanying infrastructure.
  • The simplified integration. RS.SCM is compatible to any retail accounting systems, and to start use it is not required to change them. The SOA solution architecture allows to create quickly full, reliable and easily formalizable integration with the systems of the customer that provides easy and fast creation of the guaranteed data exchange.

Problems which are solved by RS.SCM

1. Ensuring the maximum goods availability in shop

  • Lack of goods on the shelf are the missed sales, and as a result loss of profit. Instruments of control Out-of-Stock in the RS.SCM system allow to have a direct impact on sales increase.
  • RS.SCM allows to avoid successfully natural washing away of the optimal range of commercially profitable goods that leads to achievement of the best indicators on sales and marginality.
  • Ensuring competitive level of service increases loyalty and prevents outflow of the regular customers making the main profit for the company.

2. Decrease in level of surplus trade inventories

  • RS.SCM allows to build the qualitative forecast of consumer demand which is a basis for calculation of an optimal safety stock. Reduction of a safety stock allows to release the "frozen" current assets.
  • Decrease in a surplus trade inventory in shop gives the chance to minimize the warehouse sizes, and to increase useful areas of shop. Also reduction of the inventory level of shop in proportion reduces losses from thefts and damage of goods.

3. Reducing costs of logistics

  • For different commodity groups, RS.SCM, in the automatic mode applies the most suitable method of replenishment that leads to optimization of rhythm and number of deliveries to shops and distribution centers.
  • When calculating orders of RS.SCM considers the different parameters influencing logistic costs such as: delivery shoulder, multiplicity of packaging, plurality of units of measure, accounting of expiration dates, time constraints on an approval of the order, etc.
  • Exact calculation of delivery allows to use processes of Cross-Docking, Pick-by-Line and other economic technologies of cargo processing in a warehouse.

4. Increase in efficiency of Promotion actions

  • More exact automated forecast of promotion actions in RS.SCM based on extrapolation of last trends on the planned actions allows to increase economic effect of Promo's carrying out, by reduction of number of write-offs and illiquid goods that is especially important for work with perishable goods and goods of the seasonal demand.

5. Decrease in amount and labor input of manual adjustments

  • Process automation of forecasting and replenishment of trade inventories leads to increase in speed of work of managers of a supply chain
  • Tools for comparison of KPI of a supply chain during the automatic work of algorithms and the orders created manually, leads to increase in transparency of decision making.

Functionality

  • Creation of the forecast based on the cleaned statistics of demand, taking into account information on lack of goods on the shelf, abnormal surges in sales, promotion actions, seasonality and holidays.
  • The automatic choice of a specialized forecasting method for different commodity groups.
  • For accounting of specifics of retail the approaches allowing "catch" the rarefied sales and/or seasonality on the aggregated hierarchy levels with subsequent distribution of the forecast to goods are used.
  • Automatic selection of optimal methods of replenishment of trade inventories taking into account specifics of commodity specific groups. For different groups the most suitable specialized methods of replenishment with an optimal variant by method of calculation of a safety trade inventory are used.
  • The forecast of promotion actions and holidays taking into account seasonality, statistics of last events and effect of their carrying out.
  • The order of goods at the Supplier under actions in several waves, using RTs as the buffer for alignment of errors of the forecast of single shops.
  • The analysis of KPI of a supply chain with a possibility of "fall in a part", with a possibility of adjustment "on the fly" the connected parameters of replenishment of goods without the need for their search in the separate interface.