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Neuclon Sales Growth

Your CRM records the past.Neuclon predicts the next sale.

Neuclon’s predictive intelligence learns how each of your customers buys, forecasts who will buy next and which deals will slip, explains why, and tells your team what to offer and when. It works alongside the CRM and ERP you already run.

Likely to buy in 30 daysPredicted · updated 7:00
  1. Lakeshore FoodsReorder due in 6 days91%$48,200
  2. Gulf Energy ServicesGrowing faster than its spend with you84%$31,500
  3. Andes Mining SupplyCompetitor lead times slipped77%$27,900
  4. Pacific Rim PackagingAsked about the new line68%$19,400
  5. Cedar Health SystemsExpansion announced61%$16,800
Illustrative example

Beyond the CRM

A CRM tells you what happened. Neuclon tells you what happens next.

Keep your CRM as the record. Neuclon adds the intelligence on top: predictions for every customer and deal, the reasons behind them, and the next step to take.

Traditional CRMNeuclon predictive intelligence
  • Shows the deals reps enteredPredicts which customers will buy, including ones nobody is working
  • Stage and probability typed by the repA chance to win from what the buyer actually does, updated every day
  • Reports on last quarterForecasts this quarter, beside the CRM’s own number
  • Activity logged after the callThe reason to call, the offer and the opener, before it
  • The same view for every companyLearns how your own customers buy

Predictions, not reports

Four predictions waiting for your team every Monday.

A traditional CRM can only show what reps typed in. Neuclon forecasts what each customer and deal will do next, from your own orders, quotes and conversations, with the reason behind every prediction.

  1. Who will buy in the next 30 days?

    Every account gets a predicted chance to buy, from its own buying rhythm and its market: a reorder coming due, a customer growing faster than its spend with you, a competitor letting them down. The likeliest rise to the top, each with the reason.

  2. Which deals will slip, and why?

    Each open deal gets a chance to win that moves as the buyer goes quiet, the close date drifts or a discount waits. You see the slip weeks before the stage changes in the CRM.

  3. What will each customer want next?

    What similar customers bought next, what this one asked about, and what is in stock to deliver: the offer most likely to land, with an opener for the call.

  4. What will we close this quarter?

    A forecast built from what customers actually do, not what reps hope, beside the CRM’s own number. The gap tells you where to look.

Predicted to buy38accounts, 30 days
Likely to slip$410Kof open deals
Forecast$1.9Mthis quarter

What the predictions are made of

  • Buying rhythm and reorders44%
  • Growth in their market31%
  • Competitor and news signals25%
Illustrative figures for a mid-sized distributor, not a customer result.

Agents do the legwork, people decide

Predictions that turn into action.

  • Watch every accountOrders, quotes, emails and calls, read for every customer, every day.
  • Predict the momentA reorder due, a slowdown, news in their market: a dated, scored reason to call.
  • Draft the outreachThe offer, the opener and the follow-up, ready for the rep to send.
  • Keep the forecast honestClose dates and amounts checked against what customers actually do.

Discounts, prices and anything sent to a customer wait for a person to approve them.

Yours to change

Shaped by your sales team, not by a vendor.

Neuclon is built to be changed by the people who run the process. Describe what you want and it changes; nobody waits for a developer.

Your stages and fields

Ask for a new stage, a field or a view in a sentence; the pipeline changes for everyone.

Your signals

Tell Neuclon what matters in your market, and the predictions weigh it.

Your approvals

Set who approves discounts and by how much; the agent never goes past it.

See it on your data

See the predictions on your own customers.

A 30-minute walkthrough on your data: who is likely to buy, which deals will slip, and why.