Example:
(1) Evaluate lift and elasticity at a SKU level or brand level; retail chain by retail chain or customer channel by customer channel. Drill-in (filter) then list target SKU’s for de-listing or better promoting.
(2) Track performance over-time vs merchandising objectives to identify if goals in share gain, margin gain, new customer gain and more

Example:
- how has a new brand cannibalized an existing brand.

Example:
(1) Identify how new SKU’s impact sales of existing SKU’s within any selected category
(2) Evaluate how a new placement (customer, shelf-set, brand) impacts sales of others within the same group

Example:
(1) Product lifecycle, showing customer purchases of a SKU or brand over time to track depth of penetration and rate of retrial.
(2) To identify successful and un-successful introduction lists of customers by segment.
(A simple example test – List customers who purchased at least once or didn’t purchase at all.)

Example:
(1) Customer meeting specific margin/profit criteria
(2) Products that were sold last period, but were not sold this period (lost sales)
(3) Customers that purchased a group of certain high-margin products last chosen period, but did not re-purchase at desired volume range this period (gap analysis / voids)

Example Use:
(1) Brand performance within each channel.
(2) Inventory level at each warehouse for each supplier.

Example:
- Classic example is price point range analysis: identify how many units sold in certain price ranges ($10 – 15 per wholesale unit), ($15 – $20), ($20 – $25)… fine-tune price with demand or test new prices. The capability enables listing results from the graph – SKU’s or customers to target-market.
-Other examples: inventory on-hand vs on-order, Retail units sold vs Price to Consumer, quantity sold vs margin

Example:
Plot on a map the impact of how frequency of delivery could save distribution cost

View Salient Geo Brochure

Example Use:
- Begin at a summary view of financials, then use math pointer tools to identify variance (Difference & % Change) or Mix changes. Spot gains or losses this season vs last, by brand, region, sales rep…, then list the target group of SKU’s or Customers.

Example:
- Revenue vs Budget for: This Week, This Month, This Qtr, YTD, all vs last year and all in one consolidated view.
-Isolate problem points in time; jump directly to lists of SKU’s or Customers that stand-out.

Example:
- Perform price vs. quantity relationship comparison for all customers who purchased a specific product
– Plot customers based on volume sold and margin, to identify low-volume and low-margin accounts to target for new trading terms

Example:
- sales by price-point plotted by margin percent

Example:
- chain store activity detail

Example:
- Average sales per store of stores that were open during the same time period last year

Example:
- by customer(product purchases by line item) for specific period of time
*must first be drilled into a key member…example specific customer and/or product

Example:
- asset placement history by customer (which assets are in place over time & historical status
- by asset (which customers over time & historical status)

Example:
- change in region contribution to total sales & volume distribution

Example:
- Regional contributions of total sales

- Margin/Profit contribution by store within a region/area

Example:
-Bookmark Info Panel – One can use that panel for explanation of purpose, notation of the owner, commenting on observations, training on how to use the starting-point for root-cause analysis.
-Member Info Panel – Attach a picture of the outlet, information about the store manager, comments to others servicing the same account…
-General Info Panel – Provides a data-dictionary that can be used for defining what each measure means, where information is sourced from. It also provides a place to attach over-all solution / company information like training manuals, mission statements, annual plans. Last, it provides a place for each user to define their profile information for collaborating.