AI Analyst for CPG sales

AI Analyst That actively finds your risks and opportunities

AI Analyst continuously monitors your SFA, eB2B, and DMS data, detects business risks and opportunities, and proactively tells your teams what needs attention. - for every outlet, on every call, in real time.

AI Coach product
Today's problem

The hidden cost of passive analytics

Sales leaders already have data, dashboards, and reports. What they don't have is time to open every dashboard, compare every report, and spot what's unusual before it grows. Passive analytics doesn't fail loudly, it fails quietly, one unnoticed report at a time.

39%
of the average CPG ops workday goes to manual data entry, with teams losing 7.5 days a month to tasks they believe could be automated.
75%
of CPG companies struggle to align promotions with retail execution, without a system watching both together.
80%
of retailers say they are not confident in their own product data, leaving risk that goes uncaught until it's a stock-out.
Introducing

AI Analyst for your Route-To-Market

AI Analyst is a proactive AI agent that continuously monitors your SFA, eB2B and DMS data to identify risks, uncover opportunities and recommend the next best action. Think of it as a virtual business analyst watching your sales operations 24/7, not a chatbot on top of a dashboard. It detects what is unusual, explains what happened and who is affected, then routes the recommended action to the right person. You can also ask it questions in plain language at any time.

Why did sales decline in this territory this week?Which distributors are at credit risk?Which territories have the lowest outlet coverage?Which SKUs are likely to go out of stock?What should the regional manager focus on today?Why is eB2B adoption falling?
Capabilities

What AI Analyst watches for

Distributor credit risk

Distributor credit risk

Watches outstanding credit, delayed payments, overdue invoices, and order frequency together, so rising exposure gets flagged while there's still time to act, for example, a distributor crossing its recommended credit exposure with overdue invoices and falling order frequency in the same alert.

Rep coverage and absenteeism

Rep coverage and absenteeism

Connects attendance data to planned routes, so a spike in absenteeism is shown as the outlet coverage and visit risk it actually creates, not just a headcount number.

Sudden sales decline

Sudden sales decline

Traces an unusual drop in orders or secondary sales back to the specific SKUs and outlets driving it, so the manager gets the why, not just the what.

Out-of-stock risk

Out-of-stock risk

Tracks stock cover at the distributor and retailer level and flags when cover falls below a safe threshold against expected demand, before the shelf actually empties.

eB2B adoption

eB2B adoption

Identifies distributors or retailers who've gone quiet on the eB2B platform, so low adoption gets caught and acted on instead of sitting in a usage report nobody opens.

Distributor performance

Distributor performance

Compares fulfilment rate, returns, delivery delays, and collection efficiency across distributors, catching operational problems while they're still fixable, for example a fulfilment-rate drop tied to stock shortages in a handful of fast-moving SKUs.

No rip and replace

Built on your existing sales stack

AI Analyst doesn't ask you to rip out anything you already run. It connects to SFA, eB2B, DMS, and distributor systems, and works from the data you're already generating, rather than requiring a new system of record. Your existing dashboards stay in place for anyone who wants to dig deeper; AI Analyst sits above them, watching continuously so your teams don't have to.

SFAeB2BDMSDistributor systemsSales & retail execution data
Built for Enterprise Scale

Trusted by the World’s Leading Sales Teams

From global CPG leaders to India's fastest-growing brands

3M+
Active Users
25+
Countries
1B+
Monthly Transactions
85+
Top CPG Brands
Frequently Asked Questions

Questions about AI Analyst

An AI Analyst is a proactive AI agent that continuously monitors your sales data and tells you what needs attention, rather than waiting for you to search through reports.
It connects data across SFA, eB2B, DMS and distributor systems to detect unusual activity, explain what happened and who is affected, and recommend the right action. You can also ask questions in plain language at any time.
The key difference is push rather than pull: instead of relying on someone to find an issue in a dashboard, the AI Analyst identifies and surfaces it proactively.
Dashboards answer questions you already thought to ask. AI Analyst finds the questions. Traditional dashboards rely on someone to open reports, compare data and spot what is unusual. AI Analyst monitors continuously, identifies what needs attention and surfaces it proactively.
It does not replace your existing dashboards. They remain available for deeper analysis, while AI Analyst sits above them – the machine does the monitoring, and the human does the deciding.
No. AI Analyst connects to the SFA, eB2B, DMS and distributor systems you already use, working with the data you already generate. There is nothing to rip out or migrate.
Integration uses MDM bulk ingestion, automatic master data mapping, webhooks and ERP connectivity, enabling 5X faster integration than traditional implementations.
Where Salescode modules are already in use, AI Analyst reads them natively; where they are not, it connects to your existing systems.
AI Analyst is built to prioritise rather than simply notify, surfacing the highest-impact issues instead of every deviation.
It also correlates related signals into a single actionable alert. For example, high credit exposure, overdue invoices and falling order frequency are combined into one distributor risk alert, rather than three separate notifications.
This keeps alert volume low while ensuring teams focus on what actually needs attention.
AI Analyst monitors six key risk and opportunity areas:
  • Distributor credit risk – outstanding credit, delayed payments, overdue invoices and order frequency
  • Rep coverage and absenteeism – impact on planned routes, coverage and visits
  • Sudden sales decline – traced to the specific SKUs and outlets driving it
  • Out-of-stock risk – stock cover against expected demand at distributor and retailer level
  • eB2B adoption – distributors and retailers who have gone quiet
  • Distributor performance – fulfilment, returns, delivery delays and collection efficiency

  • Rather than simply reporting a metric, AI Analyst identifies the business risk behind it, so teams know what needs attention and why.

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