Program report QB-9426 · filed November 5, 2026

AI in SalesMeasured report

Andavi acquires Infilect to add visual AI to field sales

Andavi Solutions acquired Bengaluru-based Infilect and began deploying combined visual AI tools for beverage alcohol customers, adding shelf, pricing and compliance checks to store visits.

By Rebecca Stone4 min read770 words

Program notes

  1. Combined solutions are already deployed in production for beverage alcohol customers.
  2. The retail vision system recognizes six signals: products, stock, pricing, shelf position, competitors and merchandising compliance.
  3. Field representatives can receive recommended actions in near real time from store-visit images.
  4. The announcement disclosed no acquisition price, customer count, accuracy rate or time-saved figure.
  5. Infilect operates in two countries, India and the United States, and will retain its products, employees, customer relationships and service commitments.
Andavi Solutions Acquires Infilect to Expand AI-Powered Retail Execution Platform - citybiz
PlateAndavi Solutions Acquires Infilect to Expand AI-Powered Retail Execution Platform - citybiz — StockSnap / pixabay

By Rebecca Stone

Andavi Solutions and Bengaluru-based Infilect already have combined solutions deployed in production for beverage alcohol customers, while the companies did not disclose the acquisition price or other financial terms. Andavi, a sales execution software provider for beverage and consumer packaged goods companies, has acquired Infilect, an India-based artificial intelligence company focused on retail image recognition and agentic AI. Infilect maintains operations in India and the United States.

How does visual AI change the store visit?

Infilect’s technology analyzes photographs and videos captured in retail environments, including store shelves, product displays, menus and backbars. Its image recognition identifies individual products, stock availability, pricing, shelf positioning, competitor activity and merchandising compliance. That creates a record of how a brand’s products appear at the point of sale.

At the store-visit stage of field execution, sales representatives can capture images and receive recommended actions in near real time. Sales managers gain a broader view of inventory shortages, pricing discrepancies, merchandising gaps and potential revenue opportunities. The intended result is less dependence on manual store surveys and faster corrective action.

The announcement provides no team-size, customer-count or store-count data for the production deployment. It also gives no accuracy rate, before-and-after survey volume, time saved, recommendation rate or measured revenue gain. The claim of greater visibility therefore describes a designed workflow, not a demonstrated operating result.

The workflow is concrete; the performance evidence is not.

What does agentic AI change for sales teams?

The acquisition also strengthens Andavi’s work on agentic AI. The company describes those capabilities as a way for sales teams to move beyond collecting and analyzing retail data toward identifying and executing recommended next steps. The announcement does not explain which actions the system can execute, which approvals it needs or how it handles exceptions.

Nina Vellayan, CEO of Andavi Solutions, said: “This acquisition advances our strategy to build a more intelligent sales execution platform. Infilect gives our customers better visibility into what is happening in the market and helps turn those insights into action.”

That statement sets the strategic case: computer vision supplies the store observation, while Andavi’s sales execution layer is meant to convert that observation into action. No separate benchmark or customer testimony quantifies the conversion.

“We started Infilect to give consumer goods companies better visibility into every store,” said Vijay Gabale, co-founder and chief product and technology officer of Infilect. “Joining Andavi allows us to expand that vision and accelerate our Agentic AI roadmap for field execution.”

The roadmap wording matters. The combined product is already in production, but the announcement does not identify which agentic functions are live. It also provides no accuracy, adoption or cycle-time measures for field work.

Agentic AI is the direction of travel, not a measured outcome in the disclosed evidence.

What happens to Infilect’s business and customers?

The companies have already begun integrating their technologies, and their combined solutions currently operate in production for beverage alcohol customers. Infilect will continue operating with its existing products, employees, customer relationships and service commitments. Anand Prabhu Subramanian, Infilect’s co-founder and CEO, said the combination will help the company expand its customer reach and scale its technology internationally.

Andavi’s broader platform already supports sales execution, pricing, trade promotion management and market visibility for beverage and consumer goods companies. Adding Infilect’s specialized computer vision and AI capabilities positions Andavi to provide more automated retail intelligence and field execution tools across its customer base.

That positioning does not come with a disclosed rollout schedule, number of participating customers or expansion timetable. The announcement also does not say whether the combined tools will reach beverage and consumer packaged goods accounts beyond the production deployments in beverage alcohol.

The deal broadens Andavi’s technical scope without a disclosed financial or adoption metric.

What should sales leaders watch?

For field sales teams, the relevant test is whether a store image can trigger a reliable recommendation during or immediately after a visit. For sales managers, the test is whether the platform exposes shortages, pricing gaps and merchandising issues early enough to guide corrective work. For customers, the larger question is whether production use in beverage alcohol can scale internationally, as Infilect’s CEO expects.

Until Andavi publishes deployment counts, recommendation accuracy, adoption and time-to-action measures, the defensible conclusion is narrower: Andavi now combines shelf-level visual recognition with its field sales platform. Next, watch for evidence that near-real-time recommendations reduce manual surveys and turn detected retail gaps into completed corrective actions for beverage and consumer goods teams.

via Google News: AI in sales (Source)

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Rebecca Stone

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Market editor covering people, launches and day-to-day practice in Sales technique and methodology, sales enablement at Quota Brief.

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