CapabilitiesSales & Commerce

AI-Native Sales & Commerce

Sharper sellingEasier buying

Find the customers worth pursuing. Help buyers choose the right products. Spot opportunities to win, renew and grow. ActelosAI connects customer data, business knowledge and AI so teams can focus on sales and customer growth.

Explore AI applications Discuss your growth opportunities

AI-Native in practice

Customer profilesOrder historyInteractions

Example question

Which customers should we prioritize this week

Connect purchase history, recent interactions and product needs to surface opportunities, with the reasoning behind each recommendation.

Metrics to track

Qualified opportunity rate · Customer response rate

Product catalogueSpecificationsCurrent needs

Example question

Which of these products is right for me

Clarify needs and constraints through conversation. Compare specifications and use cases to help buyers narrow their choices.

Metrics to track

Enquiry conversion · Purchase completion

Purchase historyUsage dataService feedback

Example question

Which customers may have a new purchasing need

Bring together purchasing cycles, usage and service feedback to identify renewal or expansion signals and prepare relevant next steps.

Metrics to track

Renewal rate · Expansion revenue

Business value

Make AI-Native value visible in business results

Increase sales output, qualify leads faster and help buyers move from interest to purchase.

Increase sales output

+9.4%

Revenue per seller

Connect customer insight with sales work, so teams can focus on higher-value opportunities.

About the figures

In one business group, sellers using AI assistance generated 9.4% more revenue per seller. This was a company-reported result; full sample and causal methods were not disclosed. The measure is sales revenue, not employee pay.

Qualify leads faster

−40%

Lead qualification time, year over year

Clarify needs and intent through conversation, helping teams identify and respond to qualified leads faster.

About the figures

A company website reported a 40% year-over-year reduction in time to qualify leads. This was self-reported, not a randomized comparison, and does not mean the full sales cycle was 40% shorter.

Improve buying experiences

+16.3%

Sales in an AI presales setting

Use timely answers and product guidance to help buyers move from understanding a product to buying it.

About the figures

A randomized retail experiment involving 44,614 consumers found 16.3% higher spending with AI presales assistance than with no real-time presales support. The comparison was not against human service. This is a working paper; effects varied across applications, with some showing no significant growth.

Figures reflect specific cases and studies and are provided for reference; actual results depend on business and data conditions.

AI applications

Six ways to bring AI closer to growth

From finding customers to completing a purchase and growing the relationship. These are applications we can build together around your business and data.

Customer intelligence & opportunities

Focus on the customers worth pursuing

Connect customer profiles, purchasing and interaction signals to recognize changing needs, surface opportunities and explain who to follow up with—and why.

Connected data: Customer and channel profiles, historical orders, recent conversations
What it enables: Prioritized opportunities with supporting evidence

Improvement goals

Qualified opportunity rate ↑
Customer response rate ↑

Sales insight & tailored proposals

Start each conversation with context

Prepare account briefings before meetings, capture needs and objections afterwards, match product capabilities and draft relevant proposals and follow-ups.

Connected data: Meetings and email, opportunity records, product and case materials
What it enables: Account briefings, proposal drafts and next-step suggestions

Improvement goals

Sales preparation time ↓
Proposal turnaround ↓

Product discovery & guided buying

Turn an open-ended need into the right choice

Understand natural-language needs, compare specifications and use cases, explain product recommendations and connect buyers to enquiry or checkout.

Connected data: Product catalogue, specifications, customer-provided needs and preferences
What it enables: Product recommendations, comparisons and buying guidance

Improvement goals

Enquiry conversion ↑
Purchase completion ↑

Enquiries & quoting

Give complex enquiries a faster, clearer answer

Extract requirements from email and documents, match products and approved pricing rules, and prepare quote drafts with missing information and commercial terms flagged for review.

Connected data: Enquiry documents, specifications, current price lists and discount rules
What it enables: Requirements, quote drafts and items to confirm

Improvement goals

Time to first useful response ↓
Quote error rate ↓

Forecasting & opportunity signals

Spot deals at risk before they slip

Combine past wins, opportunity stages and recent interactions to identify risk signals. Where data supports it, add predictive models with clear reasoning and exception visibility.

Connected data: CRM opportunities, stage changes, past wins and interactions
What it enables: Opportunity risk alerts and forecast evidence

Improvement goals

Forecast error ↓
Risk detection lead time ↑

Renewals & account growth

Bring the next relevant offer at the right time

Recognize shifts in buying cycles, usage and service feedback. Identify renewal risks and expansion needs, and prepare account reviews and conversation prompts.

Connected data: Orders and contracts, usage data, service feedback
What it enables: Renewal reminders, account insight and expansion suggestions

Improvement goals

Renewal rate ↑
Expansion revenue ↑

Arrows indicate desired improvement, with targets set against your business baseline. Pricing, customer commitments and transaction decisions remain with the responsible business owner.

Data & metrics

Connect better data to measurable change

Improve the completeness and consistency of data, help AI find more reliable signals, then measure whether those signals improve business outcomes.

Customer data

Link duplicate or fragmented customer records with transaction and interaction history.

Understand needs and prioritize follow-up

Duplicate customer rate · Key-field completeness · Qualified opportunity rate

Product & commercial data

Align product specifications, price versions and conditions, so answers and quotes share a reliable basis.

Improve enquiry response and quote quality

Current information rate · Response time · Quote error rate

Opportunity & operating data

Align stage, time and revenue definitions, connecting opportunity changes to actual sales.

Support forecasts, reviews and resource decisions

Stage evidence completeness · Forecast error · Sales cycle

Experience

Experience that connects insight with action

Partner case · Channel intelligence

Lee Kum Kee

The evidence behind AI-assisted growth

Kitchen purchasing and competitive intelligence inform channel priorities, SKU choices and quarterly review. This is the commercial context AI-assisted planning can build on.

Case study presented in collaboration with Gaoyan.

Explore the case

Meet the expert

Shaun Yang

Expert Partner, Consumer Goods Industry Lead

Connecting market insight, category strategy and commercial execution to support growth and practical AI adoption in consumer goods and foodservice.

Meet Shaun

Before we begin

Choose the sales decision AI should support

Sales & Commerce focuses on customer opportunities, buying decisions and account development. Agree a specific sales workflow and the commercial authority that stays with your team.

Which workflow and data should we start with

For account prioritization, start with permitted customer profiles, order history and interactions. For assisted buying or proposals, start with current product information and customer requirements. Define who reviews recommendations, prices and customer commitments; do not treat generated content as permission to contact a customer or issue a quote.

How should we evaluate the first output

Review recommendation relevance, factual accuracy and the effort needed to use the output. Track qualification, purchase or renewal measures only within a defined comparison. Faster proposal preparation is not, by itself, evidence of incremental revenue or a shorter sales cycle.

Which growth metric matters most to you

Start with a business goal: more qualified opportunities, faster enquiry response or greater customer value. Together, we can identify where AI is worth the investment.

Discuss your growth opportunities

Actelos Delta supports opportunity discovery, capability building and team adoption.

How we work together