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2018/02/15 16:29:40

Informatization of pharmacy chains

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Content

Pharmacy chains in Russia

2017

IT Market Offerings

Most of the presented solutions have only a standard set of [1]

  • POS terminal
  • Autoorder
  • Lowest Price Order Distribution
  • Goods receipt on electronic invoices
  • Automatic or semi-automatic receipt rate
  • Goods Movement Reports
  • Inventories
  • Moving between outlets

Perspective

Owners and management of private pharmacies and small chains

  • Some business functions are based on an expert solution that, unfortunately, cannot be digitized and verified.
  • No desire to "dive" into business
  • Questionable quality of current software
  • Lack of understanding of business processes
  • Software/Vendor/Association Dependency
  • High cost of software and improvements
  • Minimum office staff and RFP level
  • Difficulty migrating from one software to another

Owners and management of large pharmacy chains

  • Support and quality of current software
  • Building your business processes on the current software (including your own. forces)
  • Dependence on Software or Association
  • Lack of control over the activities of departments
  • Loss of commercial data (information)

Owners and Management of Pharmacy Chain Associations

  • Complete absence of profile software
  • High labor costs for the processing of the input
  • Building Complex Business Processes
  • Lack of competitive environment in the industry
  • Complex interaction within the framework of tripartite agreements

Owners and Management Farm. distributors

  • High labor costs
  • Lack of control capability
  • Need to maintain a large number of customers
  • Lack of bank guarantee and factoring

Owners and Management Farm. producers

  • Production losses
  • Low level of process automation at production stages (between production stages)

Loyalty programs

Goals and Objectives

  • Analyze the structure of goods and the structure of the customer [2]
  • Prepare a clustering of loyalty program members
  • Evaluate the possibility of building personal recommendations
  • Conduct a pilot project on personal recommendations

Input data

Check data

  • Purchase date
  • Customer ID
  • SKU
  • Pharmacy
  • Quantity
  • Amount, amount including discount
  • Payment method

Item Data

  • SKU, Name
  • Country of manufacture
  • Prescription form
  • Brand
  • Packaging (primary, secondary)
  • INN
  • Dosage form, dosage
  • VED - not used

Personal data

  • Date of birth
  • Paul
  • Activation pharmacy

Aggregated data

For each customer

  • Purchase amount
  • Quantity of goods purchased
  • Number of transactions
  • Average check
  • Frequency of purchases
  • The time of the first purchase
  • Last Purchase Long Ago
  • Share of the amount of goods purchased,

manufactured in Russia

  • Share of goods purchased by prescription
  • Region, city

Share of the amount of purchases by main categories

  • Dietary supplements
  • Medical devices
  • Allergies and immunity
  • Antibiotics
  • Vitamins
  • Gastroenterology
  • Hematotropic agents
  • Gynecology
  • Dermatovenerology
  • ENT authorities
  • Genitourinary system
  • Neurology and Psychiatry
  • Musculoskeletal system
  • Antiviral drugs
  • Antifungal drugs
  • Pulmonology
  • Cardiovascular system
  • Endocrinology
  • Medical equipment
  • For home and family
  • For Mom and Baby
  • Medical cosmetics

Chronicle

Notes

  1. options From the presentation "Automation of pharmacy chains, as a means for recovery without contraindications" Vladimir Gusev Executive Director Intech, November CNews Forum 2017
  2. base From the presentation "Advanced Analytics and Big Data" Zakhir Maxim Simanovich - Lanit Omni, CNews Forum 2017