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Demand to Delivery: Simplified Replenishment

ShopUp improves replenishment process by applying latest #AI models for demand forecast, optimize inventory and automate ordering process.

We prevent stockouts, reduce inventory and maximise sales.


Why online businesses rely on ShopUp for their mission critical decisions

Without ShopUp

Product shortages or overstocking
Urgent or delayed orders
Less free working capital
Manual pricing changes
Missing product driven campaigns
Missing products performance understanding
Missing customer behavior insights

With ShopUp

High product availability
Automated ordering
High Inventory turns
Automated pricing
Automated campaigns focused on customers interests
Custom tailored product catalogs, sets and bundles
Customer segments based on their interests

ShopUp main areas

Supply – inventory area

The amount of products or services that particular business is able to offer for sale at a given price and during a specific period. 

Optimize products inventory:

  • Forecast future demand
  • Optimize product inventory

Select new products:

  • Predict new product potential
  • Recommend top growing attributes
  • Offer best substitute product

Automate ordering:

  • Integrate with customer systems
  • Recommend purchase orders
  • Monitor model performance and KPI metrics

Demand – marketing area

The quantity of products or services that consumers are willing and able to buy at a given price, during a specific period, for particular omni-channels campaigns maintained by the marketing team. 

Reveal customers patterns:

  • Create product based customer segments
  • Propose online ads audiences 
  • Combine customers behavior over email, site and online ads 

Analyze products:

  • Create product sets and bundles based on customer lifestyle
  • Propose cross-categories product bundles or sets
  • Suggest top available, converting and growing products

Assess campaigns:

  • Integrate with online ads, sites and email platform
  • Assess omni-channel campaigns vs sales funnel

Optimize area

Online businesses are spending too much time dealing with excels, merging different sources of data  to make microdecisions, therefore we are offering optimization of some of their daily routines, like:

Maintain dynamic pricing:

  •  Compute product price elasticity
  • Perform dynamic pricing
  • Control inventory for higher profit

Recommend campaigns:

  • Recommend sale-out campaigns
  • Combine customers and products for funnel marketing
  • Offer post-purchase campaigns
  • Propose custom product sets for dynamic retargeting

Monitor marketing trends:

  • Explore attributes, subcategories and categories performance
  • Inspect traffic and conversions of online ads and site
  • Analyse overall demand of each funnel stage

Use cases

Reduce Churn

SaaS businesses often face the same issue: free trial sign-ups don’t upgrade, or users forget about the product. But with ABC and RFE models, we can pinpoint users who need nurturing and focus on retaining them as paying clients.

Expected Churn rate improvement: 23%-54%

Create Product Bundles

Do you have a huge inventory, with 80% of the items at 60+ days in stock? Let’s create models that identify which best-sellers go well together with less popular items and help you get rid of the stale goods and release cash!

Expected Cash release: 5%-12%

Identify Market Trends

Did you know women stop searching for coats by the end of autumn and not by mid winter? When you need to identify where to put your marketing budget, it is convenient to know where the market is going.

Expected ROAS increase: 12%-36%

Forecast Demand and Supply

Are you using Excel sheets to predict next month’s demand and what to order? Well, there are scalable and accurate data models that can do it for you and help you automate the process.

Expected Revenue increase: 8%-27%

Data model creation process

  • Month 1 

    Baseline model 

    • Data integration
    • Getting to know the business and its goals
    • Create baseline model
  • Month 2 - 3

    Custom-tailored model

    • Create several customer-tailored models with enriched data sources
    • Testings and selection of a model
    • AB testings of selected model
  • Month 4-5

    Automation Stage

    • Model adjustments based on expert review
    • Integration with internal and external systems
    • Automation of the model
  • > 6 months

    Liftoff Stage

    • The  model is running smoothly
    • We are available for ongoing support, improvements, and other projects


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