Solutions

The six problems we are asked about most, and what we deliver against each.

Demand signalling & forecasting

Are you relying on standard reports and educated guesswork to produce forecasts? Do you include other factors like weather, temperature and the latest buying behaviour as part of your forecasting?

  • Weather and temperature signal
  • Per-product model selection
  • Product × location output

Inventory optimisation

Do you have enough stock of the right colour, size and shape at each outlet to maximise your revenues — or too much of the wrong items, risking stock write-offs that reduce margins?

  • Per-outlet stock mix
  • Write-off risk
  • Revenue protection

Customer-outlet segmentation

Are you looking to group stores by customer behaviour, by products sold and by customer willingness to pay, so you can set up the store and run promotions based on such criteria?

  • Behavioural clusters
  • Willingness to pay
  • Promotion targeting

Sales driver analysis

What are the key influencers and drivers for your product sales? Is it the weather, temperature, advertising or the chatter on social media that affects sales — or is it the price or the promotion on offer?

  • Driver ranking
  • Effect sizing
  • Price and promotion

Audience profiling

Would you like to know what your social media audience looks like, which part of the country they are from, who likes or dislikes a particular brand, product or service, and which platform they prefer?

  • Geographic profile
  • Brand sentiment
  • Platform preference

Combined data analytics

Are you able to map what percentage of your sales is affected by social media activity? Does your product mix across outlets reflect the current trends?

  • Enterprise + external join
  • Attribution
  • Trend alignment

How we deliver

Built on DemandSense and PetaBolt

The solutions above are delivered on our own platform, so you are not paying for a bespoke build of things we have already built.

Which one is yours?

Tell us the decision you keep having to make with incomplete information.