AI for retail and commerce in Paraguay

Ready for a pilot?

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

Pilot readiness for a retailer

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

Not yet: the basics for answering with real data are missing.

Higher-risk controls weigh more in the score.

We know how many questions we get per month and what kind they are.
We have a catalog with current specs and prices approved by sales.
Stock by store in the system matches the warehouse and can be read.
We defined which questions always go to a salesperson: complaints, discounts, reservations.
We only show an order’s status after verifying the customer.
A named sales manager is accountable for the pilot.

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.

Customer questions per month4,000

Minutes of work per question today4 min

Questions handed to a salesperson (example)30%

Minutes per handed-off question (example)2 min

AI model

Cost per hour (PYG)

Floor: the minimum-wage hourly value (MTESS, July 2026). Typical real cost (example): ×2.5, a salary of two minimum wages plus employer contributions and the 13th month. Source

Today267 h/month

Automated40 h/month

Value of hours freed per month226.7 h × PYG 12,683: PYG 2,874,813
AI model public price4,000 questions × USD 0.0010 (example: 6,000 input + 800 output tokens; gpt-6-luna at USD 0.10 / 0.50 per million) · OpenAI · API pricing: −PYG 22,778
Platform, monitoring and support exampleTypical monthly range: −PYG 683,336 to −PYG 1,708,341
Net savings per month: PYG 1,143,694 to PYG 2,168,699
Catalog and stock connection, handoff rules, testing and pilot typical range · exampleOne-off, up front: PYG 14,236,175 to PYG 34,166,820
Months to pay back the investment: 6.6 to 30 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. USD prices converted at PYG 5,694.47 per dollar (reference rate of 9 Oct 2026): BCP

estimated

4-week pilot

A typical plan; real timing depends on your systems.

Pilot · weeks 1 to 4

Week 1Pick and measureOne product category and its frequent questions, with current timings.KPI: Signed baseline
Week 2Catalog and stockApproved catalog and read access to stock by store, with no change permissions.KPI: Specs and prices validated
Week 3Controlled testAI answers 200 real past questions; the team marks the errors.KPI: Correct answers (example target: 95%)
Week 4Scoped real useOne channel serves the chosen category and it is compared to the baseline.KPI: Handoffs and minutes per question

Before you start

Category chosen and monthly question volume measured
Catalog with current specs and prices approved
Read access to stock by store, with update time
List of questions that always go to a salesperson
Customer verification before showing an order
Pilot owner and success metric agreed

Frequently asked questions

Do I need to replace my POS or ERP?

Not necessarily. We first review interfaces and exports. An agent cannot fix a lack of reliable source records by itself.

Can it reserve a product?

Only if an authorized, verifiable reservation operation exists. An inventory query does not reserve units; customers must understand and confirm terms before a commitment.

Can it change prices?

Not by default. Changes require rules, permissions and review based on risk. The model does not freely decide promotions or discounts.

Where should we start?

With one category or question workflow using approved information. We measure accuracy, handoffs and errors before expanding the catalog.