Enterprise DNA

Client operations · Live demo

Category review prep for key account managers

Turns scan data, market share and rate of sale into the talking points a key account manager needs before a retailer's category review.

InternalWeb chatYour data Answers from your dataSummariesIntegrationsYour knowledge
Live demo

Talk to Isla at Tussockvale Foods

Tussockvale Foods is made up. Isla is a real agent, set up the way we would set one up for your team. Talk or type and ask what your staff would ask.

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The problem

Preparing for a category review takes days of pulling scan data and building slides. Account managers can walk in without knowing which of their products sit below the buyer's delisting line.

How it works

  1. Reads the retailer's scan data and the company's own sales data
  2. Summarises category growth, share and rate of sale for each product
  3. Flags products at risk under the retailer's review rules
  4. Builds the case for new listings from results at other retailers
  5. Writes a one-page brief with the proposed promotion plan attached

What it connects to

  • Retailer scan data
  • Syndicated market data
  • Trade promotion calendar
  • Microsoft PowerPoint or Google Slides
  • Omni Command Centre
Sample chat
  1. Hemi (national account manager)I've got the Ferncastle crackers review next Thursday. What do I need to know?
  2. AgentCrackers are up 3.1% at Ferncastle and our share is 14.2%, up 1.1 points. The risk is Cracked Pepper at 9 units per store per week, just under their 10-unit review line.
  3. Hemi (national account manager)Could I swap it for the Seeded Kūmara?
  4. AgentThat's your strongest case. Seeded Kūmara sells 16 units per store per week at Harbourlight and ranks 7th of 58 crackers there. At $2.62 a unit and a $4.49 shelf price, Ferncastle would make about 33%.
  5. Hemi (national account manager)Pull that into a one-pager for me.
  6. AgentDone. It has the share trend, the swap case, the proposed 2 for $7 launch and tastings in 40 stores. It's in your inbox.

Illustrative conversation. Names, numbers and details are made up.

Capabilities used

  • Answers from your data. Looks up live records in your own database and systems, not just documents.
  • Summaries. Every conversation ends with a written summary, a transcript and the next step.
  • Integrations. Connects to more than 700 business apps and acts in them during or after the conversation.
  • Your knowledge. Answers from your documents, website and videos, and stays current when they change.

Want this agent in your business?

Book thirty minutes with Sam. We will map this example onto your own calls, inbox and systems and tell you what it would take.

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