BlueliftAI

Retail and commerce · Ecuador

AI for retail and commerce in Ecuador: what to automate first

Start with price, stock and order-status questions, using data read from your system. Promotions, returns, exceptions and final order confirmation stay with your team and the customer.

Start now if

  • Price and stock questions swamp your team
  • Prices and stock already live in a system
  • Orders are noted by hand and get lost

Not yet, if

  • System stock does not match the warehouse
  • Prices and promotions change without being recorded
Are you ready? 30 seconds ↓

Real process · example timings

Do you have it, how much is it, when does it arrive?

Today

  1. 1Read the question and work out which product the customer wants1 min
  2. 2Check stock and price in the system or ask the store4 min
  3. 3Reply with price including VAT, availability and delivery option2 min
  4. 4Note the order by hand and pass it to dispatch3 min

With AI

  1. 1AI finds the product in the approved catalog and reads stock and price from the systemauto
  2. 2Replies; if stock is not current, it says so and asks for reviewauto
  3. 3Prepares the order and the customer confirms the termsauto
  4. 4A person reviews orders and exceptions before dispatch3 min
Today≈ 10 min per question
With AI≈ 3 min, only on orders and exceptions
Illustrative timings, not client measurements.

Ready for a pilot?

Tick what you already have; heavier items stall a pilot more. Nothing is sent.

Pilot readiness for retail

0 % · 0 of 6 controls that applyFirst missing: questions measured and approved product records

Not yet: the basics for answering without overpromising are missing.

Higher-risk controls weigh more in the score.

What it costs and when it pays back

Hours freed by AI minus what it costs to run. Examples are marked; public prices link to their source.

2,000
10 min
40%
3 min
AI model
Estimated floor: the 2026 SBU (USD 482, Ministry of Labor) ÷ 173.33 h (40 h × 52 weeks ÷ 12) ≈ USD 2.78. Typical real cost (example): ×2.5, a salary of two basic wages plus employer contributions and bonuses. Source
Today333 h/month
Automated40 h/month
Value of hours freed per month293.3 h × USD 2.78
USD 815
AI model public price2,000 questions × USD 0.0028 (example: 20,000 input + 1,500 output tokens; gpt-6-luna at USD 0.10 / 0.50 per million) · OpenAI · API pricing
−USD 5.50
Platform, monitoring and support exampleTypical monthly range
−USD 150 to −USD 400
Net savings per month
USD 410 to USD 660
Approved catalog, stock and price read access, order rules and pilot typical range · exampleOne-off, up front
USD 3,000 to USD 8,000
Months to pay back the investment
4.5 to 20 months

Tokens: the unit AI providers bill for the text the model reads (input) and writes (output). OpenAI puts 100 tokens at about 75 English words.

Range: the lower figure uses low costs, the higher one high costs. Public prices checked on 11 Oct 2026.

estimated

4-week pilot

A typical plan; real timing depends on your systems.

Pilot · weeks 1 to 4

  1. Week 1Measure questionsPrice, stock and order questions from one real month, with their times.KPI: Signed baseline
  2. Week 2Catalog and stockApproved product records, stock and price read access, and order confirmation rules.KPI: Catalog approved
  3. Week 3Internal testThe team tests on 200 real anonymized questions and corrects answers.KPI: Correct answers (example target: 95%)
  4. Week 4Scoped real useOne product line with real customers, compared to the baseline.KPI: Minutes per question and order errors

Before you start

Frequently asked questions

Can it recommend products?

It can filter a catalog using defined criteria and explain available product records. It must not invent compatibility, features or discounts.

Can it take orders automatically?

An order can be prepared where an authorized integration exists. Customer confirmation, terms and payment controls must be defined before purchases are enabled.

What if inventory is outdated?

The agent should flag uncertainty and seek review rather than promise availability. Connection and update frequency are part of the design.

How is improvement measured?

Use a baseline for questions, errors, handoffs and operations time. Sales outcomes are measured separately and are not attributed to an agent without evidence.