proALPHA exports the data, Acto analyzes it every night. By morning, your reps see which customers are worth a call, in the app, their CRM, or Outlook.
Because nobody notices a customer has fallen out of their usual ordering rhythm.
Because reps can’t tell which customers look like the buyers of similar products.
Because nobody has time in the daily grind to work through the list of inactive accounts.
Because nobody notices a customer has fallen out of their usual ordering rhythm.
Because reps can’t tell which customers look like the buyers of similar products.
Because nobody has time in the daily grind to work through the list of inactive accounts.
Your IT team decides once what proALPHA provides each night, via file export, exchange server, or SFTP.
Every customer is measured against their own order history, fresh every night.
First thing in the morning, in the app, their CRM, or Outlook, with a specific product suggestion.
Your IT team decides once what proALPHA provides each night, via file export, exchange server, or SFTP.
Every customer is measured against their own order history, fresh every night.
First thing in the morning, in the app, their CRM, or Outlook, with a specific product suggestion.
Every night, your system exports orders, customers, products, and pricing. Acto runs the analysis, scores every account, and writes the results to the sidebar. No live access required.
Every customer is measured against their own history. Only what’s worth a call or a visit reaches your reps.
Kraus & Meier is ordering less often than usual, and their quote win rate has been dropping since July.
Bauer buys hand tools regularly but never striking tools. Similar shops also buy long-life grease.
Blatter usually orders every 32 days. Similar customers regularly buy pliers.
The order is missing 5 of the 8 quoted product groups. Worth a follow-up on the rest.
“Acto’s AI analysis and automation save our sales team up to 8 hours every week. The result: more productivity, less time digging through data, and more time with the right customers.”
↗ 8,6%↗ 10,0%Call plan before the meeting, dictated report after.
As a sidebar next to the account record, and in Outlook if you want.
Before going live, Acto learns your rules. That’s how you get recommendations that fit your business instead of generic alerts.
One customer orders every week, another only when a project comes up. Acto learns when silence is normal and when it’s a red flag.
Seasonal business and incentive programs can shift entire weeks. Acto separates the usual from the unusual.
Acto learns your industry jargon and in-house terms instead of guessing. So the insights sound like they came from a colleague.
Priority accounts and new products: who your reps should see first.
Fewer orders mean risk, bigger baskets mean opportunity. You set the threshold for when it’s worth stepping in.
You decide which categories go together and which ones you want to push. Acto only suggests what fits.
Acto sits on top of your existing proALPHA. Your IT team sets up the nightly export once, and it runs on its own from there. Acto doesn’t need live access.
Most teams start with a pilot and KPIs agreed up front, like revenue, number of contacts, and daily usage. After that, you decide on the rollout.
Requirements · business logic · SFTP access
Tenant setup · daily export · data audit
Checks on sample customers · sidebar in your system · feedback
Training · sales team goes live · first results shortly after
Data arrives via export or SFTP. No live access, and Acto does the heavy lifting.
Stored in Frankfurt, language models hosted in the EU. Prediction models train only on your data.
Acto sits on top of your existing proALPHA. Your IT team sets up the nightly export once, and it runs on its own from there. Acto doesn’t need live access.
Most teams start with a pilot and KPIs agreed up front, like revenue, number of contacts, and daily usage. After that, you decide on the rollout.
Export, file share, or SFTP. No live access, so your ERP doesn’t slow down.
One time, to set up the export. After that it runs on its own, every night.
Stored in Frankfurt, language models hosted in the EU. Prediction models train only on your data.
Yes. Acto analyzes buying behavior, and that works the same for manufacturers selling direct as it does for distributors. You don’t need extra product data like bills of materials.
Things like missed reorders of consumables or spare parts, declining orders, product groups a customer stopped buying, and inactive customers you can win back with a specific product suggestion.
Acto works best when you sell to your customers directly and their orders live in proALPHA. If most of your volume runs through distributors, Acto won’t see the end customers’ data.
Via a nightly export, an exchange server, or SFTP. Acto needs orders, customers, products, and pricing. There’s no live access to proALPHA.
With a pilot and KPIs agreed up front, like revenue, number of contacts, and daily usage. Then we review the results together, and you decide on the rollout.
Stored in Frankfurt, with language models hosted in the EU. Prediction models train only on your data.
In 30 minutes, we’ll look at your system and your sales team, then show you real examples from your industry of what Acto would flag.
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